Alternatives to PacBio

Galaxy serves as an open-source, web-based platform specifically designed for handling data-intensive research in the biomedical field. For newcomers to Galaxy, it is advisable to begin with the introductory materials or explore the available help resources. You can also opt to set up your own instance of Galaxy by following the detailed tutorial and selecting from a vast array of tools available in the tool shed. The current Galaxy instance operates on infrastructure generously supplied by the Texas Advanced Computing Center. Furthermore, additional resources are mainly accessible through the Jetstream2 cloud, facilitated by ACCESS and supported by the National Science Foundation. Users can quantify, visualize, and summarize mismatches present in deep sequencing datasets, as well as construct maximum-likelihood phylogenetic trees. This platform also supports phylogenomic and evolutionary tree construction using multiple sequences, the merging of matching reads into clusters with the TN-93 method, and the removal of sequences from a reference that are within a specified distance of a cluster. Lastly, researchers can perform maximum-likelihood estimations to ascertain gene essentiality scores, making Galaxy a powerful tool for various applications in genomic research.

Created within the Data Sciences Platform at the Broad Institute, this comprehensive toolkit provides an extensive array of features primarily aimed at variant discovery and genotyping. With its robust processing engine and high-performance computing capabilities, it is equipped to manage projects of any magnitude. The GATK has established itself as the industry benchmark for detecting SNPs and indels in both germline DNA and RNA sequencing data. Its functionalities are now broadening to encompass somatic short variant detection as well as addressing copy number variations (CNV) and structural variations (SV). Besides the core variant callers, the GATK incorporates numerous utilities for executing associated tasks, including the processing and quality assurance of high-throughput sequencing data, and it comes bundled with the well-known Picard toolkit. Originally designed for exome and whole genome data generated via Illumina sequencing technology, these tools are versatile enough to be modified for use with various other technologies and study designs. As research evolves, the adaptability of the GATK ensures it remains relevant in diverse genomic investigations.

Azenta Life Sciences delivers versatile, robust, and scalable informatics solutions for sample processing, allowing laboratories to effectively implement systems across various locations while leveraging integrated project and diagnostic management capabilities. Our unmatched sample exploration and management tools are designed to expedite your processes in discovery, development, and delivery. Additionally, Azenta Life Sciences provides cloud-driven informatics solutions that streamline laboratory workflows and enhance staff efficiency through standardized procedures. The software encompasses various modules that oversee clinical trials, patients and families, informed consent, storage, diagnostics, next-generation sequencing, and sample handling. It also features connectivity with external data sources and offers adaptable options for incorporating third-party systems and instruments, ensuring a comprehensive approach to laboratory management. This enables laboratories to maintain a high level of accuracy and efficiency in their operations.

The Illumina DRAGEN Secondary Analysis system offers precise, thorough, and highly efficient processing of next-generation sequencing data. Utilizing a graph reference genome alongside machine learning techniques, it achieves remarkable accuracy. The workflow is exceptionally streamlined, capable of completely analyzing a 34x whole human genome in approximately 30 minutes when using the DRAGEN server v4. Additionally, it enhances this workflow by compressing FASTQ file sizes by up to five times. This system is adept at analyzing a variety of NGS data types, including whole genomes, exomes, methylomes, and transcriptomes. It is designed to be compatible with the user's preferred platform and is scalable to meet varying requirements. DRAGEN analysis consistently ranks as a leader in accuracy for both germline and somatic variant detection, as evidenced by its performance in industry competitions conducted by precisionFDA. This advanced analysis solution empowers laboratories of all sizes and specialties to maximize the potential of their genomic datasets. Moreover, the implementation of highly adaptable field-programmable gate array (FPGA) technology allows DRAGEN to deliver hardware-accelerated genomic analysis algorithms, further enhancing its performance. Such advancements position DRAGEN as a vital tool in the ever-evolving field of genomics.

MEGA, which stands for Molecular Evolutionary Genetics Analysis, is an intuitive and highly capable software suite tailored for examining DNA and protein sequence information from various species and populations. It allows for both automated and manual alignment of sequences, the construction of phylogenetic trees, and the testing of evolutionary theories. The software employs an array of statistical approaches such as maximum likelihood, Bayesian inference, and ordinary least squares, making it indispensable for comparative sequence analysis and insights into molecular evolution. Additionally, MEGA includes sophisticated functionalities like real-time caption generation to clarify the findings and methodologies applied during analysis, alongside the maximum composite likelihood method for calculating evolutionary distances. The program is enhanced with powerful visual aids, including an alignment/trace editor and a tree explorer, while also supporting multi-threading to optimize processing efficiency. Furthermore, MEGA is compatible with several operating systems, such as Windows, Linux, and macOS, ensuring accessibility for a diverse user base. In summary, MEGA stands out as a comprehensive tool for researchers delving into the intricacies of molecular genetics.

Evo Designer is a cutting-edge tool created by the Arc Institute, harnessing the power of the Evo 2 genomic foundation model to aid in the generation and analysis of DNA sequences. Users can enter nucleotide sequences or select specific organisms, prompting the model to produce relevant DNA sequences tailored to their needs. This platform also offers detailed annotations of coding regions and provides 3D protein visualizations for prokaryotic sequences through ESMFold, enhancing the understanding of protein structures. In addition to these features, Evo Designer evaluates sequences by calculating their perplexity and per-nucleotide entropy, which helps researchers gauge the complexity and variability of the sequences they are working with. The Evo 2 model at the core of this tool has been trained on an impressive dataset of over 9 trillion nucleotides sourced from a wide variety of prokaryotic and eukaryotic genomes. Utilizing a sophisticated deep learning architecture, it models biological sequences with single-nucleotide precision and boasts a context window that can extend up to 1 million tokens, thereby ensuring high accuracy in sequence representation and analysis. This combination of features makes Evo Designer an invaluable resource for genetic research and exploration.

NVIDIA® Parabricks® stands out as the sole suite of genomic analysis applications that harnesses GPU acceleration to provide rapid and precise genome and exome analysis for various stakeholders, including sequencing centers, clinical teams, genomics researchers, and developers of high-throughput sequencing instruments. This innovative platform offers GPU-optimized versions of commonly utilized tools by computational biologists and bioinformaticians, leading to notably improved runtimes, enhanced workflow scalability, and reduced computing expenses. Spanning from FastQ files to Variant Call Format (VCF), NVIDIA Parabricks significantly boosts performance across diverse hardware setups featuring NVIDIA A100 Tensor Core GPUs. Researchers in genomics can benefit from accelerated processing throughout their entire analysis workflows, which includes stages such as alignment, sorting, and variant calling. With the deployment of additional GPUs, users can observe nearly linear scaling in computational speed when compared to traditional CPU-only systems, achieving acceleration rates of up to 107X. This remarkable efficiency makes NVIDIA Parabricks an essential tool for anyone involved in genomic analysis.

Geneyx Analysis offers an all-encompassing solution for managing next-generation sequencing (NGS) data, efficiently transforming FASTQ files into clinical reports tailored for both hospital and commercial laboratories. This cutting-edge platform incorporates machine learning and artificial intelligence capabilities to uncover new biomedical insights, enhancing diagnostic efficiency and reducing turnaround times. By delivering a fully transparent and user-friendly interface, Geneyx Analysis empowers clinicians and researchers with complete control over data interpretation and simplifies the challenges associated with managing in-house bioinformatics workflows. Users can customize protocols to suit various gene panels, exomes, and genomes, while our extensive annotation engine facilitates the analysis of all genetic variants, including structural and copy number variations, as well as regulatory elements. In combination, Geneyx Analysis streamlines the diagnostic journey from sequencer output to finalized report, while also serving as a valuable resource for the discovery of novel variants. This platform not only enhances clinical capabilities but also paves the way for groundbreaking research in genomics.

Genoox is revolutionizing the field of genomics through its dynamic and expanding community, which enables the accumulation of the most pertinent database and facilitates the delivery of actionable, real-world genomic insights that significantly affect lives, enhance clinical outcomes, and influence healthcare business practices. By harnessing community power, Genoox merges public data with community-generated information to optimize the journey from DNA sample to clinical report, thereby improving patient care through the accessibility and applicability of genomic data at critical moments. The company's innovative solutions are transforming the landscape of genomics, while also supporting research and life sciences enterprises with an insightful platform that leverages real-world data and evidence, bolstered by comprehensive genomic analytics, which assists researchers in simplifying intricate genomic information and achieving meaningful breakthroughs with cutting-edge genetic tools. Moreover, Genoox collaborates with biosystems firms like DNA sequencing companies to integrate its advanced genomic engine with specialized assays, further enhancing the capabilities of the entire genomics ecosystem. Ultimately, Genoox stands at the forefront of genomic innovation, consistently aiming to empower healthcare professionals and researchers alike.

Transform your single-cell RNA sequencing data into actionable insights using Cellenics software, which is hosted by Biomage as a community instance of this open-source analytics tool developed at Harvard Medical School. This platform empowers biologists to delve into single-cell datasets without the need for coding, while facilitating collaboration between scientists and bioinformaticians. Within just a few hours, it can convert count matrices into publication-ready figures, integrating effortlessly into your existing workflow. Cellenics is designed to be fast, interactive, and user-friendly, as well as being cloud-based, secure, and scalable to meet various research needs. The community instance provided by Biomage is available at no cost for academic researchers working with smaller to medium-sized datasets, accommodating up to 500,000 cells. Currently, over 3000 academic researchers engaged in studies related to cancer, cardiovascular health, and developmental biology are utilizing this powerful tool. This collaborative environment not only enhances research capabilities but also accelerates the discovery process in various scientific fields.

Efficient data management and streamlined bioinformatics solutions are essential for laboratories that are either just beginning or rapidly expanding their next-generation sequencing (NGS) capabilities. As an integral part of the BaseSpace Suite, BaseSpace Sequence Hub serves as a seamless extension to your Illumina instruments. The encrypted data transmission from these instruments into BaseSpace Sequence Hub simplifies the management and analysis of your data through a selection of specialized analysis applications. Built on the robust Amazon Web Services (AWS), BaseSpace Sequence Hub prioritizes security, ensuring a safe environment for your data. It allows users to initiate sequencing runs and monitor the quality of instrument operations effectively. This system enhances productivity by converting sequencing data into a standardized format and facilitating direct cloud streaming. Additionally, it grants access to necessary computational resources without the need for significant investments in on-premises infrastructure. Ultimately, it boosts organizational efficiency by providing easy access to a wide array of genomic analysis applications, whether developed by you, Illumina, or third-party providers, thus fostering innovation and progress in genomic research.

g.nome is a cloud-native platform designed to offer efficient, scalable, and interoperable workflows tailored for next-generation sequencing analysis. It features a low-code/no-code approach to building pipelines, allowing users to access a curated library of pre-built workflows and toolkits. This empowers researchers to easily import their custom code, manage large datasets with confidence, and enhance collaboration among team members, regardless of their location. By utilizing g.nome, researchers can eliminate longstanding obstacles related to workflow languages, visibility of process flows, and quality assurance. Consequently, they can concentrate entirely on their scientific endeavors, as g.nome transforms the complexities of genomic workflows into streamlined, efficient processes. This innovative platform not only simplifies research but also fosters an environment where scientific inquiry can thrive unhindered.

The award-winning XIFIN LIS stands out as a fully scalable SaaS laboratory information system that supports multi-specialty workflows, offers an extensive array of tools, and ensures flexible and secure connectivity, all while providing advanced features that enhance the efficiency of high-volume and intricate testing laboratories. As the healthcare sector transitions towards value-based and patient-centered care models, this shift is being hastened by the rapid increase in the use of genomic testing and personalized medicine enabled by next-generation sequencing (NGS). Laboratories are required to modify their current workflows to effectively handle the implementation and reporting of these complex tests. Given that diagnostic insights can lower overall healthcare expenditures and elevate the quality of patient care, it becomes essential for laboratories to integrate more effectively with the broader healthcare ecosystem. This evolution in healthcare demands enhanced collaboration and communication among all diagnostic and healthcare providers to meet the increasing complexities of patient care. Furthermore, embracing these changes is vital for laboratories to maintain their relevance and to continue delivering high-quality services in a rapidly evolving landscape.

Partek bioinformatics software offers robust statistical and visualization capabilities through a user-friendly interface that caters to researchers of varying expertise. This innovation allows users to navigate genomic data with unprecedented speed and ease, truly embodying our motto, "We turn data into discovery®." With pre-installed workflows and pipelines in a simple point-and-click format, even complex NGS and array analyses become accessible to all scientists. Our combination of custom and public statistical algorithms works seamlessly to transform NGS data into valuable biological insights. Engaging visual tools like genome browsers, Venn diagrams, and heat maps illuminate the intricacies of next-generation sequencing and array data with vibrant clarity. Additionally, our team of Ph.D. scientists is always available to provide support for NGS analyses whenever queries arise. Tailored to meet the demanding computational requirements of next-generation sequencing, the software also offers flexible options for installation and user management, ensuring a comprehensive solution for research needs. As a result, users can focus more on their research and less on technical challenges.

Tempus AI, a prominent health technology firm based in Chicago, Illinois, is dedicated to transforming patient care through advanced artificial intelligence and precision medicine. By utilizing data and AI, the company strives to create personalized treatment plans across a range of medical specialties, such as oncology, cardiology, radiology, and mental health. Their all-encompassing platform combines genomic sequencing, clinical data, and AI-powered analytics, equipping healthcare providers and researchers with actionable insights. Tempus offers a holistic understanding of patients via various testing methods, including tissue and liquid biopsies, DNA and RNA sequencing, somatic and germline tests, as well as tumor-normal matched profiling and minimal residual disease monitoring options. Additionally, they provide a swift and dependable platform for ordering tests, gaining patient insights, and seamlessly integrating AI-driven technologies into practice. Furthermore, Tempus features an innovative generative AI-enabled clinical assistant that places patient insights readily at your fingertips, enhancing the overall efficiency of healthcare delivery. This commitment to leveraging cutting-edge technology exemplifies Tempus AI's mission to improve health outcomes and advance medical research.

Geneious Prime enhances access to bioinformatics by converting raw datasets into intuitive visual representations that facilitate sequence analysis in a user-friendly manner. It offers straightforward sequence assembly along with the convenient editing of contigs. Users benefit from automatic gene prediction, motif identification, translation, and variant calling through its annotation features. It also allows for the genotyping of microsatellite traces using automated ladder fitting and peak calling, producing comprehensive tables of alleles. The platform showcases beautifully designed visualizations of annotated genomes and assemblies, presented in a customizable sequence view that enhances user experience. Furthermore, it supports powerful analyses of SNP variants, simplifies RNA-Seq expression evaluations, and assists in amplicon metagenomics. Users can also design and test PCR and sequencing primers while developing their own searchable primer database. Additionally, Geneious Biologics provides a versatile, scalable, and secure solution to optimize workflows for antibody analysis, enabling the creation of high-quality libraries and the selection of the most suitable therapeutic candidates. This integration of tools fosters greater efficiency and innovation in biological research.

Emedgene optimizes the workflows involved in tertiary analysis for rare disease genomics and various germline research endeavors. It is specifically built to enhance the speed and reliability of interpreting, prioritizing, curating, and generating research reports for user-defined variants. By incorporating explainable AI (XAI) and automation, Emedgene boosts efficiency across diverse analysis workflows, including genomes, exomes, virtual panels, and targeted panels. The platform facilitates the integration of laboratory processes and NGS instruments with IT systems, streamlining and securing the entire workflow. With continuous advancements in science, technology, and demand, Emedgene empowers users to stay current by offering cutting-edge knowledge graph features, curation tools, and expert support throughout their research journey. Furthermore, it allows laboratories to increase their throughput without the need for additional personnel, thanks to XAI and automated processes. Ultimately, Emedgene enables the deployment of high-throughput workflows for whole genome sequencing (WGS), whole exome sequencing (WES), virtual panels, or targeted panels that seamlessly fit into the digital framework of any lab. This comprehensive approach ensures that researchers can focus on their discoveries while relying on robust technological support.

DNAnexus Titan™ is revolutionizing the field of genomics research and clinical workflows by offering reliable, high-performance data analysis solutions tailored for modern needs. Traditional informatics tools often struggle to cope with the increasing volumes of sequencing data generated today. Many research institutions and clinical diagnostic firms are grappling with the challenges posed by DIY systems, finding it laborious to establish, enhance, validate, and implement scalable pipelines. With DNAnexus Titan™, these hurdles are eliminated through a cohesive platform that integrates all data and workflows into a single environment, resulting in unmatched operational efficiencies. By entrusting us with the complexities of industry and region-specific security and compliance, you can focus on addressing the surging global demand for sequencing data without the burden of management challenges. Our platform not only simplifies the process but also enhances collaboration and accelerates scientific discovery.

OpenFreezer is an open-source information management platform aimed at biological laboratories, designed to streamline reagent tracking and workflow management. This system meticulously records details about each reagent used in the lab, including unique properties like sequences and external identifiers, as well as information on their physical preparations, such as storage locations and characteristics. In addition to serving as a comprehensive repository for reagent data, OpenFreezer also features workflow tools that assist with tasks like primer design and automated feature mapping, making it an essential resource for bench scientists. It offers a suite of software tools tailored to meet the needs of wetlab scientists, enhancing their efficiency and productivity. At its foundation, OpenFreezer focuses on tracking various types of reagents, their specific properties, all isolates and preparations, and the precise storage arrangements within the laboratory for each reagent prep. This holistic approach to reagent management and workflow optimization positions OpenFreezer as a crucial asset for any biological research facility.

Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.

The Kanteron Platform assimilated a wide array of medical images, digital pathology slides, genomic sequences, and patient information from various modalities, scanners, sequencers, and databases, delivering a comprehensive data toolkit to all teams within hospital networks. It emphasizes pharmacogenomics to avert adverse medication events and facilitates the application of precision medicine at the point of care by integrating data sources on drug-gene interactions that were formerly only accessible in less user-friendly formats, such as tables found in PDF documents. By incorporating major pharmacogenomic databases like PharmGKB, CGI, DGIdb, and OpenTargets, it enables users to customize their queries according to specific gene families, types of interactions, and drug classifications. Additionally, its adaptable AI allows users to select the dataset that best aligns with their specific use case, applying it effectively to pertinent medical images. This robust functionality not only enhances the accuracy of medical insights but also fosters a more personalized approach to patient care.

Platforma is an intuitive no-code bioinformatics tool that transforms raw next-generation sequencing (NGS) data into valuable insights. It features a straightforward interface with customizable, no-code "blocks" that facilitate complex analyses such as immune repertoire, single-cell, and gene expression data. Drawing on the strengths of its predecessor, MiXCR, Platforma allows users to leverage AI for the selection of antibody and TCR candidates. This platform is crafted to be user-friendly for scientists who may lack bioinformatics expertise, empowering them to take charge of their research and significantly shorten the time required to gather insights. Ultimately, Platforma aims to democratize access to advanced bioinformatics analysis, fostering a more innovative research environment.

Aligned Product Wheels™ are used by Phenix scheduling and planning software to optimize inventory changeovers and inventory changes, and align production with business goals such as customer service, cost, and working capital. Schedules are used to determine the order and timing of production of hundreds of products from multiple production lines. Correct production sequences reduce changeover costs. Every out-of-sync product makes it more difficult to changeover and costs time and money. The correct cycle times are balanced between inventory costs and changeover costs. Too short or too long cycles can cause problems with customer service and inventory. Phenix product wheels assign product family lines to product lines and optimize the production sequence for minimal changeover loss.

HyperProtein is the latest offering from Hypercube, Inc., concentrating on the computational analysis of protein sequences. This innovative product not only examines one-dimensional sequences but also delves into the resulting three-dimensional structures of proteins. A key aspect of HyperProtein is its exploration of the intricate relationship between a protein's sequence and its structural form. In contrast to standalone software that targets specific functions like sequence alignment, HyperProtein combines a wide array of Bioinformatics and Molecular Modeling tools, providing a comprehensive approach to the science that begins with a protein sequence. By integrating these diverse tools, HyperProtein aims to enhance the understanding of protein functions and interactions at a molecular level, making it a valuable resource for researchers in the field.

The QIAGEN CLC Geneomics Workbench is a powerful tool that works for all workflows. It is easy to overcome data analysis challenges with cutting-edge technology, unique features and algorithms that are widely used by scientists in industry and academia. Bioinformatics software solutions that are user-friendly allow for comprehensive analysis and interpretation of your NGS data. This includes de novo assembly and transcriptome assembly, resequencing analysis, WES and targeted panel support, variant calling, variant calling, RNA–seq, ChIP–seq and DNA methylation analysis (bisulfite sequence analysis). You can analyze your RNA-seq (miRNA, smallRNA) and smallRNA (lncRNA), data using easy-to-use transcriptomics workflows that allow for differential expression analysis at both gene and transcript levels. QIAGEN CLC Genomics Workbench was designed to support a wide variety of NGS bioinformatics programs.

GenomiX is an end-to-end genomics analytics platform designed to unify NHS-grade clinical genomics, flexible bioinformatics research, and AI-powered insights. It addresses the biggest challenges in the field, from handling massive raw sequencing files to harmonizing data across fragmented systems like EHRs, LIMS, and CRO platforms. Its cloud-agnostic and container-native architecture allows deployment on AWS, Azure, or GCP while supporting orchestration via Kubernetes and workflow engines such as Nextflow, CWL, and Snakemake. The platform delivers real-time data ingestion, tiered storage with lifecycle automation, and advanced metadata harmonization for structured insights. Integrated visualization tools and machine learning models like CNNs, BERT, and DESeq2 provide deeper analytics and predictive power. GenomiX also enables reproducibility with Git versioning, CI/CD pipelines, and customizable tool integration. Security is core, offering role-based access, full audit trails, NHS interoperability via FHIR, and certifications aligned with GDPR and HIPAA. By combining scalability, compliance, and innovation, GenomiX accelerates clinical research, enhances collaboration, and drives progress in personalized medicine.

The innovative XetaBase platform streamlines tertiary analysis by aggregating, indexing, and enriching secondary genomic data, which facilitates ongoing re-evaluation to reveal valuable insights for research and clinical applications. By enhancing data management practices, XetaBase allows for the economical utilization of genomic information both in laboratories and clinical settings. The platform is designed to handle expansive genomic datasets, where increased volume and complexity lead to improved insights and outcomes. Built on the open-source OpenCB software framework, XetaBase is a genomic-native technology that addresses the demands for scalability, speed, and innovative re-interpretation in genomic medicine. Zetta Genomics provides an advanced genomic data management solution tailored for the era of precision medicine. This transformative platform eliminates outdated flat file methods, introducing actionable and relevant genomic data into both laboratory and clinical environments. Furthermore, XetaBase not only supports ongoing re-interpretation but also adapts effortlessly as databases expand to include more comprehensive genome sequences, ensuring that users stay at the forefront of genomic advancements.

Sapio Sciences delivers a cutting-edge AI-driven lab informatics platform that integrates Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELN), and a Scientific Data Cloud into one seamless ecosystem. It is tailored to advance scientific research, clinical diagnostics, drug discovery, and manufacturing through configurable, no-code solutions. The Sapio LIMS® automates complex workflows with full configurability, removing the need for programming. Sapio ELN® offers a flexible, adaptable electronic lab notebook that supports diverse experimental needs. The platform’s Scientific Data Cloud consolidates instrument and research data enterprise-wide, paving the way for AI-driven insights. By unifying these components, Sapio simplifies data management and boosts productivity across the lab lifecycle. The platform is accessible for a wide range of industries and research applications. It aims to reduce administrative burden and enhance collaboration within scientific teams.

Combinatorial barcoding technology revolutionizes the outdated limitations of traditional single-cell methodologies. By eliminating the need for specialized instruments, it empowers researchers to make groundbreaking discoveries with ease. This innovation allows for the profiling of anywhere from 1,000 to 1 million cells or nuclei in a single experiment, driving forward unparalleled advancements in science. Evercode combinatorial barcoding technology significantly outperforms droplet-based methods, enabling researchers to increase the scale of their experiments without the constraints of previous technologies. Enjoy enhanced data quality while avoiding the complexities and requirements of outdated hardware. Conduct single-cell experiments using only a pipette and standard laboratory tools, simplifying the process and making it more accessible. The split-pool combinatorial barcoding technique facilitates scalable single-cell analysis without relying on any specialized instruments, making it easier than ever to achieve scalable sequencing. Each kit includes a comprehensive set of reagents and user-friendly analysis software, streamlining the entire workflow from start to finish for optimal efficiency. This technology not only enhances research capabilities but also fosters a new era of accessibility in scientific exploration.

RestSequence is a no-code platform that enables users to construct comprehensive product test workflows by utilizing the APIs of the products being tested. It allows for the efficient creation, management, and execution of test cases and scenarios. Leveraging an application's Swagger API collection, RestSequence facilitates the rapid design and testing of scenarios, ensuring exceptional performance and reliability of applications. Users can onboard generated test scenarios seamlessly, integrating them into their CI/CD pipeline for execution during nightly, weekly, or release builds. Notably, the output file generated from a single use of RestSequence can be repurposed for future testing scenarios without requiring any modifications. Additionally, RestSequence accesses and interprets API details, including method, URL, payload, and request body, from a Swagger specification file. It thoroughly tests each API endpoint to confirm accurate responses, status codes, mandatory fields, and the handling of invalid data, while also monitoring the resources created throughout the testing process. This approach not only streamlines the testing procedure but also enhances the overall efficiency of the development lifecycle.

ProximaX Sirius is a robust platform that combines a range of distributed and decentralized technologies, catering to both developers and enterprises. Its architecture features a network of multiple servers organized in a “hub and spoke” configuration, with the blockchain serving as the central “hub” and various service layers acting as “spokes.” These service layers incorporate functionalities such as peer-to-peer (P2P) and distributed storage, streaming, databases, and supercontracts, ensuring that all data—whether it’s for storage, messaging, or transactions—remains encrypted. The streaming capabilities cover diverse formats, including text, video, and voice. Moreover, ProximaX Sirius allows for the integration of additional service layers, which can enhance the platform’s capabilities by incorporating specialized services like artificial intelligence or distributed computing for tasks like genome sequencing. Notably, the performance of existing service layers is maintained even as new ones are added, akin to multiple sets of network server nodes operating simultaneously, all interconnected through the blockchain at the center. This design not only promotes scalability but also ensures that the system can adapt to evolving technological demands.

We are a global provider for professional data storage solutions that are optimized for creative video, medical imaging and video surveillance. Our digital archive systems can store 100+ Petabytes of files and offer long-term, cost-effective, secure and long-term storage on RAID, LTO and optical cartridges. Our cloud solutions offer a global shared file system that makes your digital assets available to cloud computing and on-premises machines around the world.

Clarity LIMS serves as a sophisticated laboratory information management system specifically tailored for genomics laboratories to effectively monitor samples and streamline workflows for enhanced laboratory efficiency. Beyond mere sample tracking, Clarity LIMS acts as a vital digital infrastructure for laboratory operations, encompassing every aspect from data and sample management to the oversight of personnel, equipment, and supplies. By standardizing and automating workflows, it significantly reduces the time required for processes and minimizes the likelihood of human error. This platform is designed to grow with your laboratory's needs, easily integrating new technologies and methodologies. Clarity LIMS also facilitates quicker laboratory operations through its easy-to-use implementation, offering preconfigured workflows for Illumina sample and library preparation kits, alongside quality control mechanisms that identify subpar samples. In addition, it aids in maintaining compliance with features such as electronic signatures, audit trails, reagent tracking, and robust privacy and security measures. Lastly, Clarity LIMS enhances precision through automation, incorporating built-in business logic and error-checking systems to ensure reliable results.

Laboratory ERP software provides a means to efficiently oversee samples and their related data. Implementing an ERP system enables your laboratory to automate various processes, connect different instruments, and handle samples along with their pertinent information. Moreover, it facilitates faster generation of dependable results, while also allowing for the monitoring of data from sequencing activities over time and through multiple experiments, ultimately enhancing overall productivity. This comprehensive approach not only streamlines operations but also supports continuous improvement in lab performance and data accuracy.

Orbit BioSequence from Questel is an advanced tool for intellectual property (IP) intelligence, tailored to assist researchers, patent experts, and biotech firms in the thorough analysis and management of biological sequence data within the IP realm. This software presents a sophisticated framework for scrutinizing, analyzing, and keeping track of nucleotide and protein sequences identified in patent documents, thereby providing users with unprecedented access to vital sequence information that is essential for fostering innovation and conducting competitive assessments. With Orbit BioSequence, users can execute highly precise similarity and identity searches throughout international patent databases, empowering organizations to pinpoint existing patents, mitigate infringement risks, and discover potential licensing or collaboration opportunities. Furthermore, the software employs state-of-the-art search algorithms alongside meticulously curated datasets, guaranteeing both accuracy and relevance in the results. The comprehensive nature of this tool positions it as an invaluable resource in the evolving landscape of biotechnology and intellectual property management.

ROCKITPLAY revolutionizes the way data is delivered compared to conventional game downloads or file transfers. By prioritizing data based on actual user gameplay, ROCKITPLAY ensures that essential data blocks needed in the initial moments of playtime are delivered first. Users can experience FastStart downloads, allowing them to initiate gameplay with as little as 1% of the game downloaded. The system intelligently adapts the start time according to the specific game and the player's available bandwidth. This technology enables players to launch games up to 200 times faster while simultaneously downloading the remaining data. Moreover, it can cut patch sizes by up to 50%, resulting in reduced bandwidth usage and cost savings. Remarkably, it also boosts the reading speed of traditional hard drives to surpass that of solid-state drives. By analyzing real user behavior, ROCKITPLAY predicts the necessary data blocks to facilitate an immediate start during the download process. With its data-sequencing approach, users ultimately obtain a complete and conventional game installation, and the sequencing is maintained even on the local drive, which greatly enhances game boot and loading times. This innovative method not only optimizes performance but also transforms the overall gaming experience for players.

Manage, store, and collaborate on multi-omic datasets effectively. The Illumina Connected Analytics platform serves as a secure environment for genomic data, facilitating the operationalization of informatics and the extraction of scientific insights. Users can effortlessly import, construct, and modify workflows utilizing tools such as CWL and Nextflow. The platform also incorporates DRAGEN bioinformatics pipelines for enhanced data processing. Securely organize your data within a protected workspace, enabling global sharing that adheres to compliance standards. Retain your data within your own cloud infrastructure while leveraging our robust platform. Utilize a versatile analysis environment, featuring JupyterLab Notebooks, to visualize and interpret your data. Aggregate, query, and analyze both sample and population data through a scalable data warehouse, which can adapt to your growing needs. Enhance your analysis operations by constructing, validating, automating, and deploying informatics pipelines with ease. This efficiency can significantly decrease the time needed for genomic data analysis, which is vital when rapid results are essential. Furthermore, the platform supports comprehensive profiling to uncover novel drug targets and identify biomarkers for drug response. Lastly, seamlessly integrate data from Illumina sequencing systems for a streamlined workflow experience.

LabCollector Lab Services Manager is a network-based software solution that assists core facilities, laboratories, biotechs, and other businesses. LabCollector LMS is simple and comprehensive. It allows users to manage a variety useful lab information. The solution includes powerful modules such as Strains & Cells Module and Sequences Module.

Delve into a vast collection of meticulously curated single-cell transcriptome datasets, as well as your own, using dynamic visualizations and analytical tools. This software is versatile, accommodating multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomics. Engage with the most extensive single-cell expression database globally, where you can access and extract insights from a repository featuring millions of fully annotated cells complete with cell type labels and experimental metadata. Beyond merely serving as a conduit to published research, BioTuring Browser functions as a comprehensive end-to-end solution tailored for your specific single-cell data needs. Easily import your fastq files, count matrices, or Seurat and Scanpy objects to uncover the biological narratives contained within. With an intuitive interface, you can access an extensive array of visualizations and analyses, transforming the process of extracting insights from any curated or personal single-cell dataset into a seamless experience. Additionally, the platform allows for the importation of single-cell CRISPR screening or Perturb-seq data, enabling users to query guide RNA sequences with ease. This functionality not only enhances research capabilities but also facilitates the discovery of novel biological insights.

Universal Analysis Software (UAS) is a comprehensive platform that facilitates the analysis and management of forensic genomic data, making intricate bioinformatics tasks easier to navigate. This robust solution encompasses a variety of analysis modules that are compatible with all existing ForenSeq workflows, such as ForenSeq MainstAY, ForenSeq Kintelligence, ForenSeq DNA Signature Prep, ForenSeq mtDNA Whole Genome, and ForenSeq mtDNA Control Region. With UAS, users can swiftly generate FASTQ files, execute alignment processes, and identify forensically significant variants from next-generation sequencing (NGS) data. The software's extensive validation ensures highly dependable variant calls, providing precise outcomes in an accessible format without the burden of per-seat licensing fees. Tailored specifically for forensic analysts, UAS optimizes the management of base-by-base sequence data, offering a wide array of features that support everything from the efficient review of standard STR profiles to in-depth analysis of the most complex samples, thus enhancing the overall efficiency of forensic investigations.

Designing and simulating cloning procedures with precision is essential for successful outcomes; testing complex projects can help identify potential errors in advance, ensuring that the correct constructs are generated on the first attempt. The process of cloning becomes significantly more manageable when users have clear visibility into their work, thanks to an intuitive interface that streamlines intricate processes. With SnapGene, documentation is automated, relieving users of the burden of manual record-keeping while allowing them to view and share every alteration made during sequence edits and cloning procedures that ultimately resulted in the final plasmid. Enhancing your core molecular biology techniques can lead to better experimental results, and by mastering SnapGene along with essential cloning concepts through the SnapGene Academy, you can elevate your expertise. This online learning platform features over 50 video tutorials conducted by experienced scientific professionals, enabling you to broaden your knowledge across a range of molecular biology subjects. Additionally, the recent SnapGene 7.2 update introduces improved visualization of primer homodimer structures and enhances file management, allowing for better organization of tabs across multiple windows through a user-friendly drag-and-drop feature. This makes it easier than ever to manage your cloning projects efficiently and effectively.

Prosol is an advanced data governance and quality assurance platform that addresses the challenges of managing master data across enterprise systems. With features like real-time data quality management, Prosol helps prevent data decay and enhances decision-making by ensuring the accuracy and consistency of product codes and inventory data. The platform utilizes machine learning and NLP technologies to automatically match and classify materials, reducing errors and ensuring compliance with global industry standards. Prosol integrates with ERP, CMMS, and inventory management systems, providing a unified approach to data governance that ensures sustained data integrity over time.

Mirada XD offers an all-encompassing solution for PET/CT, PET/MR, nuclear medicine, and image fusion, featuring advanced deformable registration and precise quantification capabilities. Users can effortlessly load an unlimited number of multi-time point follow-up studies, including gated (4D) CT and PET data, as well as various MR sequences and multi-phase CT images for thorough examination. Notably, it allows for real-time switching between MR sequences and gates even within a fused view, enhancing the efficiency of the reading process. Furthermore, Mirada XD accommodates an unlimited number of SPECT and SPECT/CT studies by enabling the fusion of data from stand-alone NM SPECT scanners with diagnostic CT, thus reducing the necessity for costly SPECT/CT equipment. This functionality not only streamlines workflows but also significantly cuts costs associated with imaging technology.

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VSClinical facilitates the clinical analysis of genetic variants in accordance with ACMG and AMP guidelines. Its structured workflow supports adherence to the American College of Medical Genetics (ACMG) standards, which are essential for identifying and categorizing pathogenic variants related to inherited disease risk, cancer susceptibility, and rare disease diagnosis. The combined ACMG/AMP guidelines for variant interpretation establish a framework for scoring variants and categorizing them into one of five classification levels. Implementing these guidelines necessitates a thorough examination of annotations, genomic contexts, and pre-existing clinical insights for each variant. VSClinical streamlines this process by offering a customized workflow that evaluates each relevant criterion and supplies comprehensive bioinformatics, literature references, and clinical knowledgebase evidence to aid in the scoring and interpretation of variants. This innovative approach is designed to enhance the efficiency of variant scientists as they navigate the complexities of variant processing and analysis. Overall, VSClinical stands out as a vital tool for accelerating the understanding and classification of genetic variants in clinical settings.