Alternatives to Pluto

A cloud LIMS that tracks samples, tests results, and manages inventory for life science research, industrial QC labs, and biotech/NGS. Includes regulatory support for CLIA and HIPAA, Part 11 and ISO 17025. The quality, security, traceability, and traceability for samples is crucial to a lab's success. Laboratory professionals can use the Lockbox LIMS system to manage their samples. They have full visibility of every step of the sample's journey from accession to long-term storage. LIMS analysis is more than just tracking results. Lockbox's multilayered sample storage and location management functionality lets you define your lab's storage structure using a variety location options: rooms and storage units, shelves and racks, boxes and boxes.

Labguru, a cloud-based Electronic Lab Notebook, LIMS and Informatics Platform that offers a complete solution to life science research and industry, is secure and reliable. It records and manages laboratory data, inventory, molecular biology tools, and chemistry tools. This allows labs to run more efficiently and automates lab operations. Labguru allows scientists to design experiments and workflows. They can also capture structured and unstructured information, manage projects, and share their results. You can create custom-designed experiment templates and integrate protocols, SOPs and other cutting-edge features to improve data quality, streamline workflows, and reduce costs. Labguru is available via the cloud on desktops as well as mobile devices. Labguru is part Holtzbrinck Publishing Group. It serves more than 100,000 scientists from universities, research institutes, startups, and large pharma companies around the world.

SciNote is the top-rated platform among researchers in industry and academia. SciNote has been chosen by many of the top executive departments in the United States as their solution. SciNote allows you to organize your data however you want. It gives structure and context for all your notes, excel spreadsheets, tables, checklists, or pictures. It also includes lab inventory, compliance, & team management tools SciNote users save an average of 9 hours per week. Data research: 90% faster thanks to the fast search of all data. Reporting is 90% faster with SciNote's automatic generation of project reports. Templates: 80% faster replication of processes, experiments, and more with templates. Without SciNote, laboratory notebook tasks take 37 minutes to complete (experiment execution and some results). Type in your keyword, and SciNote will search all your projects, files, experiments and their contents. SciNote allows you to tag, notify and post comments to your team members, speeding up lab management and correspondence.

IDBS Polar is the first BioPharma lifecycle management (BPLM) platform in the world. It eliminates repetitive manual tasks and allows you to execute your processes efficiently while curating data. This will allow you to accelerate the time to market, by tackling the most challenging challenges of process design, optimization scale-up and technology transfer. Interactive data analytics applications such as bioreactor comparision designed specifically for biopharmaceutical development scientists. IDBS Polar is an integrated platform that manages drug progress in contexts such as workflow, integration and insight. Workflows designed for the BioPharma lifecycle, with process-aware design, planning, and execution. Integrations that give meaning to your data. Rapid integration into your development environment, enabling automation, and curating a data backbone based on processes.

Stop messing around with broken informatics tools and cloud infrastructure. Get started today on uncovering biological insights. Scientists are often limited by the fragmentation of tools across biology and bioinformatics teams. To help teams accelerate their R&D, we created a harmonized platform for bioinformatics between the cloud and the wet lab. Import raw data from your cloud service provider, your team's instruments, or your cloud. Create and deploy custom bioinformatics workflows using any language. Stop wasting time tinkering with your infrastructure. You can easily run any workflow and keep track of every analysis. Interactive visualizations of NGS data ready-to-go with point-and click plots Latch integrates with your AWS S3. You can access hundreds of terabytes in organic filesystems you are familiar with. Create bioinformatics workflows, and dynamically create no-code interfaces with Python with tunable storage and compute.

Legacy R&D software can be a drain on scientific potential. It slows down R&D progress and scatters data between silos. Benchling is the industry's most trusted life sciences R&D cloud. All the tools you need to accelerate, measure, and forecast R&D, from discovery through bioprocessing, all in one place. A suite of seven applications that are natively unified and can be used to accelerate R&D at all levels. Open integration, codeless configuration, and dashboards that are tailored to your needs. For continued success, deep life science R&D and consulting expertise are essential. Benchling is a unified R&D platform that allows you to spend less time searching for data and more time working together in order to advance your research. Scientists, managers, executives, and researchers can optimize R&D output by having complete visibility into the experimental context, program performance, resource utilization, and program performance.

A robust platform for automatic variant prioritization and clinical interpretation, as well as report generation, is essential to ensure efficient reporting of NGS-based clinical trials. Strand Omics, a cloud-based platform that is HIPAA-compliant and fast, drives our clinical diagnostics practice. It has been refined over 4 years with over 10,000 clinical reports and multiple peer reviewed publications. Strand Omics is a combination of bioinformatics algorithms and curated databases, visualization interfaces, and reporting capabilities. It offers specialized workflows that can be used for rare inherited disorders and somatic tumor profiling tests. The platform has over 10,000 variants curated to oncogenicity, 100 genes that are curated for druggability across multiple types of cancer, and 500 drugs that have been curated for evidence.

Accuracy, speed, confidence. Introduce generative AI in commercial biopharma. Simplify the laborious process of collecting, organizing and inspecting vast quantities of complex data. You can always rely on 100% accuracy to get the insights you need. You'll never again lose track of your workflows with our AI-powered data verification and manipulation platform. All in one place, you can gather, refine and check all your data. Search public and private databases based on key drug characteristics. Segment drugs and clinical trials based on detailed patient profiles. You can extract the data in plain English. Link your answers to their original source. Spend your time and effort on synthesising high-quality outputs rather than sifting through data. Our LLMs allow researchers to scan assets 4.8x faster by hand. We index more than 38M scientific publications and abstracts from conferences, clinical trials, and other sources. All the data that you need, at the time you need it.

Geneious Prime makes bioinformatics more accessible by transforming raw information into visualizations which make sequence analysis intuitive. Simple assembly of sequences and easy editing contigs. Automatic annotation of gene prediction, motifs and translation. Genotype microsatellite trace with automated ladder fitting, peak calling, and generation of tables of alleles. A highly customizable sequence view displays beautiful visualizations of annotated assemblies and genomes. SNP variants analysis with powerful SNPs, RNA-Seq analysis and amplicon metagenomics. Create your own searchable database of primers for PCR and sequencing and design and test them. Geneious Biologics offers a flexible, scalable and secure way to streamline antibody analysis workflows. It allows you to create high-quality libraries, and select the best therapeutic candidates.

ZONTAL is a pioneering provider of digital solutions tailored for the life sciences sector, focused on optimizing laboratory workflows and expediting research through advanced analytics and data management. Its innovative platform delivers a range of tools to improve data handling, including the Digital Lab for connecting experts and datasets, Data Preservation for secure information storage, and the Life Science Analytics Platform for seamless integration of analytics into lab processes. By adhering to FAIR principles—ensuring data is Findable, Accessible, Interoperable, and Reusable—ZONTAL helps organizations reduce data complexities, enable real-time insights, and harness the full potential of analytics to drive innovation and efficiency in laboratory environments.

The L7 Enterprise Science Platform (L7|ESP®) is a comprehensive platform designed to contextualize data and remove business silos through process orchestration. This all-in-one solution supports the digitalization of data and scientific processes within life sciences organizations. It includes native applications like L7 LIMS, L7 Notebooks, L7 MES, and L7 Scheduling. L7|ESP seamlessly integrates with third-party applications, lab instruments, and devices to consolidate all data into a unified model. Featuring a low-code/no-code workflow designer and numerous pre-built connectors, it ensures rapid implementation and full automation. Utilizing a single data model, L7|ESP enhances advanced bioinformatics, AI, and ML to provide new scientific and operational insights. L7|ESP addresses the data and lab management needs and challenges within the life sciences sector, specifically targeting: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Explore the L7 Resource Center for on-demand recordings, case studies, datasheets, and more: l7informatics dot com/resource-center

Scitara DLX™ provides a fast connectivity infrastructure for any instrument used in life science laboratories. It is fully compliant and auditable, and can be accessed from any cloud-based platform. Scitara™, a universal digital data network, connects all instruments, resources, apps, and software within the laboratory. The cloud-based platform, which is fully auditable, connects all data sources in the lab, allowing data to flow freely across multiple endpoints. Scientists can now spend their time on scientific research and not waste it trying to solve data problems. DLX corrects and curates flight data to support the creation of precise, structured data models that feed AI/ML systems. This supports a successful digital transformation strategy for the pharma and biopharma sectors. The ability to access scientific data allows for faster decision-making and drug discovery, which helps bring drugs to market quicker.

We build products with our in-house chemists, biologists and clients to deliver outstanding performance and scientific understanding. Chemaxon offers a wide range of products, including out-of-the box solutions for scientists and IT professionals. It also includes components that add extra functionality as well as integrations with 3rd-party software, such Microsoft Excel or KNIME. Chemaxon, a leading software provider, is trusted by more than one million users. Its industry-leading tools for scientific discovery include calculation, search, and drawing tools. Our applications are used widely in education and research in the life sciences. Our clients come from a wide range of industries. The majority of major pharmaceutical companies are among them. Our offices are located at Budapest, Basel and Boston, with distributors all over the world.

Partek bioinformatics software provides powerful visualization and statistical tools in an intuitive interface. Researchers of all levels can explore genomic data faster and more efficiently than ever before. We turn data into discovery®. Our intuitive interface makes it easy for scientists to perform sophisticated array and NGS analysis using pre-installed workflows. Public and custom statistical algorithms can be used together to quickly and accurately distill NGS data into biological insights. Genome browser, Venn diagrams and heat maps, as well as other interactive visualizations, show the biology of your next generation sequencing and array data in vivid color. Our Ph.D. scientists can be reached at any time to assist with your NGS analysis. This product is specifically designed for next-generation sequencing applications that require high-level computing. It offers flexible installation and management options.

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.

Metabolon offers the largest Level 1 library available in the metabolomics field. Over 5,400 entries are contained in our proprietary library, which has been built over 20 years. The majority of entries are Level 1, accounting for approximately 85% of our library (4,600 entries). However, some are level 2 (approximately 15 % of the entries), due to a lack commercial standards to qualify for Level 1. Metabolon's unmatched library breadth, industry-leading annotation confidence level and unmatched library depth enable us to provide our clients with accurate, highly actionable insight for their scientific or clinical inquiries. Metabolomics is applicable to a wide variety of research, including soil health, food nutrition, preclinical research and clinical trials. Whether you are looking for trends within a group, or modifying an individual's treatment plan, metabolomics will help you find the answers you need.

Correlation Engine, an interactive omics database, places private omics data into a biological context by combining it with highly curated publicly available data. Correlation Engine, one of the largest databases in the world for life science research, provides researchers with unprecedented access and insight to a vast number of high-quality whole genome analyses. The knowledgebase allows for novel discoveries through the interrogation of billions of datapoints derived from standard analyses of whole genome studies. A suite of applications for determining biological context, a constantly growing library of curated datasets, and support of multiple species and multi-omic data sets. Use a simple graphical interface to leverage guided workflows and APIs. Accelerate the journey from omic to decision-making and gain access to more than 25,000 multi-omics studies that have been reanalyzed (from over 250.000 signatures).

Eidogen-Sertanty’s Target Informatics platform (TIP), is the first global structural informatics system. It enables researchers to examine the druggable genome from an structural perspective. TIP increases the rapidly expanding body experimental protein structure information and transforms structure based drug discovery from an inefficient, data-scarce discipline to a high-throughput science with rich data. TIP is a tool that bridges the knowledge gap between bioinformatics (bioinformatics) and cheminformatics. It provides drug discovery researchers with a knowledge bank of information that is both unique and highly complementary to existing bio- and cheminformatics platform information. TIP's seamless integration between structural data management technology and unique target-to-lead analysis capabilities enhances every stage of the discovery pipeline.

StarDrop™, a comprehensive suite of integrated software, delivers the best in silico technology within a highly visual interface. StarDrop™, which allows seamless flow between the latest data, predictive modeling, and decision-making regarding the next round or synthesis, improves the speed, efficiency and productivity of the discovery process. A balance of different properties is essential for successful compounds. StarDrop™, which guides you through the multi-parameter optimization challenge, helps you target compounds with the highest chance of success. It also saves you time and resources by allowing you to synthesize fewer compounds and test them less often.

Sapio LIMS is an advanced laboratory information management system offering a unified no-code/low-code solution that streamlines laboratory workflows. Built on the Sapio Platform, which integrates LIMS, Electronic Lab Notebooks (ELN), and Scientific Data Management Systems (SDMS), it provides purpose-built solutions for scientific research and discovery, manufacturing, and clinical diagnostics. Sapio LIMS helps to optimize laboratory operations, seamlessly integrating with lab instrumentation and existing IT infrastructure. Through its robust, scalable architecture, Sapio LIMS enhances operational efficiency and ensures compliance with GxP standards such as GMP and GLP. Solutions are available for Life Sciences R&D, Clinical Diagnostics, Lab Operations and Analytics and Enterprise Data Management.

The Bioconductor Project aims to develop open source software that allows for repeatable and precise analysis of biological data. We encourage a collaborative and inclusive community of data scientists and developers. Resources to maximize Bioconductor's potential. Our tutorials, guides, documentation, and guides cover everything from basic functionality to advanced features. Bioconductor is an open-source and open-development software that uses the R statistical language. It has an active user base and two releases per year. Bioconductor offers Docker images with every release, and supports Bioconductor in AnVIL. Bioconductor, founded in 2001, is an open-source project widely used in bioinformatics. Over 1,000 developers have contributed over 2,000 R packages, which are downloaded over 40 million times per year. Bioconductor is cited in over 60,000 scientific publications.

Improve team productivity and generate greater returns on research. Interactive data visualization allows you to share private and public data with other teams. Rosalind is a multi-tenant SaaS designed for scientists. Analyze, share, interpret, plan, validate and generate new hypotheses. Code-free visualization, AI-powered interpretation, best-in-class collaboration. ROSALIND is suitable for scientists of all levels, since it does not require any programming or bioinformatics knowledge. ROSALIND's powerful downstream analysis and collaborative capabilities make it a platform for discovery and data hub that connects experiment design, quality assurance, and pathway exploration. ROSALIND manages tens or thousands of cores of computing and petabytes in storage to dynamically scale each experiment up and down to deliver results. Share results instantly with other scientists around the world with audit tracking, so everyone can concentrate on interpretation and not the processing.

Cellenics can help you turn your single-cell sequencing data into meaningful insights. Cellenics is an open-source analytics tool developed by Harvard Medical School for single cell RNA sequencing data. Biomage hosts the community instance. It allows biologists to explore datasets of single-cells without having to write code, and helps scientists and informaticians work together more effectively. It can take you from count matrixes to publication ready figures in a matter of hours. It can also be seamlessly integrated into your workflow. It is fast, interactive and user-friendly. It's cloud-based and scalable. Cellenics, hosted by Biomage as a community instance, is free for academics with small/medium datasets (upto 500,000 cells). Over 3000 academic researchers use it to study cancer, cardiovascular health and developmental biology.

Qlucore Omics Explorer makes it so simple to use that you don't have to rely on a specialist in bioinformatics for analysis and exploration of your Omics or NGS data sets. Qlucore Omics Explorer, a next-generation D.I.Y bioinformatics software, is available for research in academia, life science, and plant-tech industries. The flexible and powerful visualization-based data analysis tool delivers instant results and allows for the exploration and visualization of large data. The software was designed to allow you to choose the best workflow for your experiments and maximize the results of your research. You will be able see your results instantly by combining instant visualization with powerful statistics, flexible selection methods, and powerful statistics. You decide the workflow and starting point for your own exploration. You have complete control over the exploration process and can tailor it to your needs.

BC platforms uses the latest science, unique technology capabilities and strategic partnerships to accomplish our mission of revolutionizing drug discovery, personalizing care, and transforming medicine. Modular, flexible platform that integrates healthcare data. Open analytics framework seamlessly combines the most innovative methods, technology developments and analytics in one platform. Superior security: ISO 27001 certified and GDPR and HIPAA compliant. A complete product portfolio allows modern healthcare systems to fully embrace personalized medicine. Scalable deployments allow for a robust start and large-scale healthcare operation. Our unique toolbox enables faster translation of research insights into clinical practice. Our unique toolbox helps reduce risk, increase your pipeline value, and advance enterprise data strategy. We remove the barriers to data access and enable rapid insight generation.

Geneyx Analysis provides a comprehensive solution to analyze next-generation sequencing data. It can be used by commercial and hospital labs. This advanced platform integrates AI and machine learning features to identify new biomedical insights while improving diagnostic yields. Geneyx Analysis provides a transparent and intuitive solution that allows clinicians and researchers complete control over their data analysis. This reduces the complexity of regulating internal bioinformatics workflows. Our comprehensive annotation engine can support the analysis of all genetic variations, including structural and copy-number variations, as well as regulatory components. Protocols can also be fully customized for gene panels, genomes, or exomes. Geneyx Analysis automates diagnostics from sequencer to report while creating a comprehensive resource of novel variants.

OmicsBox, a leading bioinformatics tool, offers end-toend data analysis for genomes, transcriptomes and metagenomes. It also provides genetic variation studies. The application, which is used by leading private and public research institutes worldwide, allows researchers to process large and complicated data sets and streamline their analytical process. It is designed to be efficient, user-friendly and equipped with powerful tools to extract biological insight from omics data. The software is divided into modules, each of which has a set of tools and features designed to perform specific types of analyses, such as de novo genome assemblies, genetic variations analysis, differential expression analyses, taxonomic classifications, and taxonomic classes of microbiome, including the interpretation of results and rich visualizations. The functional analysis module uses the popular Blast2GO annotating methodology, making OmicsBox a great tool for non-model organisms research.

Polly allows you to harness the power of biomedical information. The Polly Platform allows you to scale batch jobs, workflows and visualization applications. Polly supports resource pooling, optimizes resource allocation based upon your usage requirements, and makes use of spot instances when possible. This results in optimization, efficiency, quicker response time, and lower costs for resources. Access a dashboard that allows you to monitor and track resource usage and costs in real-time. This will allow you to reduce overheads when resource management is done by your IT team. Polly's infrastructure is built around version control. Polly uses a combination dockers and interactive notebooks to ensure version control for your analyses and workflows. We have created a mechanism that allows data, code, and the environment to co-exist. This, along with cloud data storage and the ability for users to share projects, ensures reproducibility in every analysis.

Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. More than 2 million scientists and 10,000 customers trust Dotmatics to accelerate research and help make the world a healthier, cleaner, and safer place to live.

The XetaBase platform is unique in that it simplifies tertiary analyses by aggregating, indexing and enriching secondary genome data. This allows for a continual reinterpretation of the data to unlock clinical and research insights. XetaBase enables the rapid management of genomic data and its cost-effective use in the laboratory and clinic. XetaBase is a genomic-scale platform. The greater the volume and the complexity, the better the insights and outcomes. XetaBase, a genomic-native platform, is built on the OpenCB open-source software platform. It meets the demands of genomic medicine for speed, scale, and reinterpretation. Zetta Genomics provides genomic data management that is fit for the precision-medicine age. XetaBase offers a novel solution for the challenges of genomic information. It replaces outdated flat file approaches and brings meaningful and actionable genome data to the lab and clinic. XetaBase allows for continual reinterpretation and scales seamlessly as databases expand to include genome sequences.

Scispot stands as the premier technology platform for the biotech sector, offering an unparalleled toolkit designed for customization without the need for coding. Imagine a powerful blend of Electronic Lab Notebook (ELN), Laboratory Information Management System (LIMS), integrations, and analytics. This platform allows for easy setup, either through a graphical user interface (GUI) or command line interface (CLI), aimed at transforming your digital biotech ambitions into reality. With Scispot, you can craft your data infrastructure, streamline your workflows and integrations, and prepare your data for advanced applications like machine learning and artificial intelligence, all from a single platform. It also offers ready-to-use templates for key experiments, facilitating collaboration and efficient data management.

NuVerve is a collaborative SaaS that offers Scientific Data Intelligence for scientists. It provides a set easy-to-use features to structure data, create custom analyses, and automatically generate reports. NuVerve, priced at $75/month, is available to all scientists.

ScienceDesk data automation simplifies the use of artificial intelligence (AI) in materials sciences. Your team can easily add and apply the latest AI algorithms every day with this practical tool. You can customize properties, universal identifiers and QR-codes. There is also a textual-numeric search engine that links experimental and sample data. ScienceDesk allows scientists and engineers to collaborate and gain insights into their experimental data through an innovative platform. This asset's potential is not fully tapped due to the complexity of data formats and dependence on experts to extract specific information. ScienceDesk's research data management system, ScienceDesk, solves this problem by combining data analysis and documentation in a well-designed data structure. Our algorithms give scientists and researchers the ability to have complete control over their data. They can share data and analysis knowledge.

Interactive visualizations and analytics allow you to explore hundreds of single-cell transcriptome datasets as well as your own data. The software supports multimodal omics (e.g. CITE-seq and spatial transcriptomic. Explore the world's largest database of single-cell expression interactively. Access and query insights derived from a single cell database of millions of cells. The database is fully annotated, with cell type labels and experimental meta-data. BBrowser does not just create a portal to published works. It is an end-toend solution for YOUR single-cell data. Import your fastq, count matrices or Seurat objects and reveal the biological stories within. With a powerful package of visualizations, analyses and an intuitive interface you can easily mine insights from any single-cell dataset. Import data from single-cell CRISPR or Perturb-seq. Guide RNA sequences can be queried.

Choose two custom cell groups and compare their top differentially-expressed genes. Use millions of cells in the integrated CZ CELLxGENE Corpus for powerful analyses. Use an interactive, no-code interface to perform interactive analyses of a dataset. Explore how spatial, environmental and genetic factors influence gene expression patterns. Use published datasets to understand them or as a starting point for identifying new cell subtypes and states. Census allows you to access any custom slice of standard cell data from CZ CELLxGENE in R or Python. Explore an interactive encyclopedia that contains 700+ cell types, detailed definitions, markers genes, lineage and relevant datasets. Browse and download 1,000+ datasets and hundreds of standardized data sets that characterize the functionality of healthy human and mouse tissues.

Ruffus is a Python computation pipeline library. It is open-sourced and powerful, user-friendly, and widely used for science and bioinformatics. Ruffus was designed to automate scientific and other analyses with minimal fuss and effort. It is suitable for even the most basic tasks. Even complex pipelines can be handled. This will prevent make or scons from becoming cross-eyed and recursive. No "clever magic", no pre-processing. The lightweight syntax, which does one small thing well, is unambitious. Ruffus is licensed under the permissive MIT-free software license. This license allows for free use and inclusion in proprietary software. It is a good idea to run your pipeline in a temporary directory that is not connected to your original data. Ruffus is a lightweight Python module that can be used to build computational pipelines. Ruffus requires Python 2.6 and higher, or Python 3.0 and higher.

Our immune system is responsible for our most important biological functions. It protects us against sickness and disease, by defending us against outside invaders such as pathogens and maintaining our internal systems in balance. Each of our immune systems is constantly changing, and no two people have the exact same immune makeup. This complexity can be studied in great detail to unlock insights that will accelerate research and develop better therapies for everyone. The technology that generates the data has been lagging behind for too long. This is because standard manual workflows are limited in speed and resolution, allowing only a small amount cellular information to appear. The advancements in medicine are causing us to move more towards highly targeted treatments. Many of these therapies are constructed from the patient’s own immune cells. Our AI-driven computing analysis technology unlocks insights that help discover therapies and advance the development of these therapies.

A data integration solution for modern science that is science-aware™. The data-driven future can't be built on the legacy architectures and broken data of the past. As research data volumes and types continue to grow exponentially, siloed data management and analytics become more and more unsustainable. For most organizations, however, this data is still spread across multiple systems. If the data has been brought into one place, it's usually done by a separate SDMS tool or business intelligence tool. This does not embrace the central role and highly integrated nature of truly scientific analysis. Jarvis is a science-aware™, data integration solution designed for modern science. It connects and harmonizes all of your collective scientific intelligence including instrument and application data so that you can maximize its value. Scientists can easily access this streamlined insight in a highly searchable living knowledge graph.

Galaxy is a web-based, open-source platform for data-intensive biomedical studies. Start here if you are a new Galaxy user or consult our support resources. Install Galaxy yourself by following the tutorial. You can choose from thousands of tools in the tool shed. This instance of Galaxy uses infrastructure generously provided to it by the Texas Advanced Computing Center. Additional resources are available primarily via the Jetstream2 cloud, via ACCESS and with support from National Science Foundation. Quantify, visualize and summarize mismatches from deep sequencing data. Build maximum-likelihood trees. Phylogenomic/evolutionary tree construction from multiple sequences. Using TN-93, combine matching reads to form clusters. Remove sequences that are within a certain distance of a cluster from a reference. Estimate gene essentiality scores using maximum-likelihood.

Flywheel provides comprehensive data management solutions to researchers looking to improve productivity and collaboration in imaging research and clinical trials, multi-center studies, and machine learning. Flywheel provides end-to-end solutions that streamline data ingestion and curate it to common standards. We also automate processing and machine-learning pipelines. Our platform allows for secure collaboration in the life sciences, clinical, academic, as well as AI, industries. Cross-platform data and algorithm integration, secure and compliant data discovery among a global network, and cloud-scalable and on-premise computational workflows to support research and clinical applications. Flywheel is a data curation platform that supports multi-modality research. It can manage a wide range of data types, including digital pathology, imaging files, clinical EMR data and omics, as well as instruments.

Researchers require tools that allow for the efficient capture, management, and sharing of research data. These tools, moreover, must integrate with data storage platforms/applications, other research tools, from enterprise chat to domain-specific tools like protocols.io, and data repositories. RSpace, the Connected Electronic Notebook, is the only ELN that integrates seamlessly with modern research-driven universities' research data infrastructure. You need to move quickly towards your next milestone as a biotech company in the early stages. To ensure IP protection and effective presentation to investors and collaborators, you must organize your research data. RSpace is a connector to research tools and other components of the research infrastructure. This ensures that data produced by researchers is not only captured but also properly managed so that it can be made public for others to query, view, and re-use.

The Suite is secure and scalable. It features an intuitive interface that allows scientists to configure workflows for any technique, modality, or data type. Signals VitroVivo 3.0, formerly Signal's Screening, transforms raw data into actionable findings. Signals Inventa 3.0, formerly Signals Lead Discovery is the next-generation analytics software that allows researchers to seamlessly publish results across disparate data sources. A cloud-based electronic notebook that is easy to use allows for experimental data capture, materials management, collaboration workflows, and more. Flexible visual and automated instrument data processing to improve data quality and reproducibility. Rich interactive analytics and unified data management for scientific research results. Integration with partner systems and processes as well as internal systems is possible.

Reduce costly experiment failures by eliminating inefficiencies and errors throughout the reagent and model selection process. You can speed up projects by selecting reagents or model systems in 30 seconds instead of 12 weeks. Reduce the hard cost of consumables, and you can save millions each year. By restoring research time to scientists, you can empower your organization's purpose. With a proven, turnkey solution, you can see real business benefits from AI. BenchSci's AI Assisted Antibody Selection is used by more than 41,200 scientists at 15 of the top 20 pharmaceutical firms and more than 4,450 academic institutes to plan more successful experiments. This has proven to be a cost-savings of millions of dollars per year. However, antibodies account for only 40-50% of reagent-related failures. You can access comprehensive experimental evidence, model system catalog data, independent validations, and reagent and reagent catalog data within one intuitive interface. Real-world experiment data, including closed-access papers, from over 11.2 million scientific publications.

HyperProtein, Hypercube, Inc.'s latest product, focuses on the computational science of protein sequences. The product allows you to analyze one-dimensional sequences of protein as well as subsequent three-dimensional structures. The product's most important feature is the relationship between structure and sequence. HyperProtein is not like other software programs that can perform specific functions, such as sequence alignment or protein sequence sequence, but it does combine a variety of Bioinformatics tools and Molecular Modeling tools that are related to the science that begins with a protein sequence.

Avogadro, an advanced molecule editor/visualizer, is designed for cross-platform usage in computational chemistry and molecular modeling. It provides high-quality rendering and a powerful plugin structure. Avogadro, a free and open-source molecular editor/visualization tool, is available for Mac, Windows, and Linux. It can be used in computational chemistry and molecular modeling as well as materials science and other related areas. It provides flexible, high-quality rendering and a powerful plugin structure.

Store, archive, and manage multi-omic data sets. Illumina Connected Analytics provides a secure platform for genomic data to operationalize informatics, and drive scientific insight. CWL and Nextflow allow you to easily import, build and edit workflows. Leverage DRAGEN bioinformatics pipelines. Organize your data in a safe workspace and share it with the world in a compliant way. Our platform allows you to keep your data in the cloud. Visualize and interpret data using a flexible analysis tool, such as JupyterLab Notebooks. Data warehouses allow you to aggregate, query and analyze sample data and population data. Scale analysis operations through the creation, validation, automation, and deployment of informatics pipelines. Reduce the time needed to analyze genomic data when quick results are a key factor. Enable comprehensive profiling for the identification of novel drug targets and biomarkers of drug response. Data can be transferred seamlessly from Illumina sequencing platforms.

Evo 2 is an advanced genomic foundation model that can perform generalist tasks in DNA, RNA and proteins. It uses a deep learning architecture that is at the forefront of computing to model biological sequences with single-nucleotide precision, and achieves near-linear scaling in memory and compute relative to context length. Evo 2 is trained with 40 billion parameters, a context length of 1 megabase and 9 trillion nucleotides. This data comes from diverse eukaryotic as well as prokaryotic genomes. Evo 2 is able to perform zero shot function prediction across DNA, RNA and proteins. It can also generate novel sequences that have plausible genomic architecture. The model's capabilities were demonstrated by tasks such as designing CRISPR systems that work and predicting disease-causing genetic mutations. Evo 2 can be accessed via Arc's GitHub repository, and is integrated with the NVIDIA BioNeMo Framework.

VSClinical allows the clinical interpretation based on ACMG & AMP Guidelines. The VSClinical workflow is guided by the American College of Medical Genetics guidelines for identifying and classifying causal variants in inherited disease risk, predisposition to cancer, and diagnosis of rare diseases. The ACMG/AMP Joint Guidelines for Variant Interpretation provide a set criteria to score variants, and place them in one of five classification tiers. The guidelines require a deep dive into the annotations and genomic context of each variant, as well as existing clinical assertions. VSClinical offers a customized workflow to score each relevant criteria, while also providing bioinformatics, literature and evidence gathered from clinical knowledgebases. VSClinical was designed to help variant scientists process variants efficiently.

PeakData, a Swiss AI startup, is on a mission of easing the burden for medical affairs and commercial teams in paving the way for new treatments and therapies from KOL engagement through to commercialization. Since its founding in 2017 the company has enjoyed steady success with its product Healthscape. It is a one-stop platform which consolidates public and private data about KOLs, prescribers and other stakeholders in real-time. Healthscape helps pharma business development and marketing teams to address their pain points when engaging HCPs through data-driven suggestions. Our expertise in obtaining real time insights from publicly accessible data and social listening of online and offline KOL publications, activities, and collaborations, can help align your resources with the demands for digital communication.

Universal Analysis Software (UAS), a platform that analyzes and manages forensic genomic data, simplifies complex bioinformatics. The UAS is an all-inclusive solution that includes analysis modules for all ForenSeq workflows, including ForenSeq MainstAY and ForenSeq Kintelligence. It also contains ForenSeq DNA Signature prep, ForenSeq DNA Whole Genome, ForenSeq Control Region, ForenSeq mtDNA Whole Genome and ForenSeq UAS Control Region. UAS quickly generates FASTQ files and performs alignment. It also calls forensically relevant variants using NGS data. The extensive testing behind UAS's variant calls ensures that they are reliable and deliver accurate results in a user-friendly package that does not require per-seat licenses. UAS is a tool for forensic analysts. It streamlines the handling of base-bybase sequence information. It also includes a variety of features that allow you to perform everything from a quick review of everyday STR profiles to detailed analysis on the most difficult samples.