Alternatives to QIAGEN CLC Genomics Workbench

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.

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.

Illumina DRAGEN Secondary Analysis is a comprehensive and accurate analysis of next-generation sequence data. Machine learning and graph reference genome drive unprecedented accuracy. Ultra-efficient workflow. Can process a whole 34x human genome in under 30 minutes using DRAGEN server version 4. Reduces FASTQ files up to 5x, resulting in an ultra-efficient workflow. Analyzes data from next-generation sequencing (NGS), including whole genomes, transcriptomes, methylomes and exomes. Available on the platform of your choice and scalable according to needs. DRAGEN analysis is the most accurate for germline and somatic mutation calling, as demonstrated by precisionFDA's industry challenges. DRAGEN analysis allows labs of any size and discipline to do more with genomic data. DRAGEN analysis is based on highly reconfigurable FPGA technology to provide hardware-accelerated implementations for genomic analysis algorithms.

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.

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.

GenomeStudio Software allows you to visualize and analyze data from Illumina array platforms. This powerful tool supports genotyping analysis of microarray datasets. Performance-optimized tools and a user-friendly graphical interface enable you to convert data into meaningful results quickly and easily. Analyze SNP/CNV data across 5,000,000 probes and markers. Detect outliers in sample data. Analyze differentially expressed genes across multiple genomes. Profile miRNA expression. Combine microRNA and mRNA data into one project. Single-base resolution detection of cytosine methylation. Identify methylation signatures throughout the entire genome. Illumina's goal is to use innovative technologies to analyze genetic variation and function. This will allow us to do studies that were impossible just a few short years ago. We believe it is vital to provide innovative, flexible, and scalable solutions that meet the needs of customers.

Software for fast, simple, and repeatable analysis of variants in gene panels, whole genomes, and exomes. VarSeq provides an intuitive and integrated software solution for tertiary analyses. VarSeq allows you to automate workflows and analyze variations for gene panels, whole genomes, and exomes. Our software makes it easier than ever to understand genomic data. VarSeq is a powerful software that provides a powerful filtering engine and annotation engine for sifting through large variant data. You can narrow down your list of variants quickly by using a series of filters. You can save the filters you have created after you have determined the parameters that are most effective for your analysis. This allows you to easily apply the same analysis on another dataset. VarSeq is ideal for high-throughput environments because the same automated workflow can apply to each batch of samples. Real-time filtering allows you to quickly prototype and fine-tune analysis workflows.

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.

Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulatory in RNA-Seq sample. It accepts aligned RNA Sequence reads and assembles them into a minimal set of transcripts. Cufflinks estimates the relative abundances for these transcripts by calculating how many reads each one receives, while taking into account biases from library preparation protocols. Cufflinks is the result of a collaboration between the Laboratory for Mathematical and Computational Biology. We provide binary packages for Cufflinks to make the installation process easier. This saves users the sometimes frustrating task of building Cufflinks which requires you to install the libraries. Cufflinks comes with a number tools for analyzing RNASeq experiments. Some of these tools are standalone, while others form part of a larger workflow.

The toolkit was developed in the Data Sciences Platform of the Broad Institute. It offers a variety of tools, with a focus on variant detection and genotyping. Its powerful processing engine, high-performance computing capabilities and flexibility make it a great tool for any project. The GATK is a standard in the industry for identifying SNPs in RNAseq and germline DNA data. Its scope has now expanded to include somatic short variation calling, copy number (CNV), and structural variation (SV). The GATK includes not only the variant callers, but also many utilities that perform related tasks like processing and quality-control of high-throughput sequence data. It also bundles the Picard toolkit. These tools were designed primarily to process whole genomes and exomes generated by Illumina sequencing technology. However, they can be adapted for a variety other technologies and experimental design.

Data management and simplified Bioinformatics are ideal for labs that are just getting started or for those who want to scale up their next-generation sequencing operations quickly. BaseSpace Sequence hub is an integral part of the BaseSpace Suite and is a direct extension to your Illumina instruments. BaseSpace Sequence hub allows you to manage your data with ease using a set of curated analysis apps. BaseSpace Sequence hub is powered by Amazon Web Services. Provides a secure environment. You can set up runs and monitor the quality of instrument runs. By converting sequence data into a standard format, and streaming it directly to the cloud, this tool promotes efficiency. Access to computing resources is available without the need for capital expenditures. Access to a variety of genomic analysis apps, whether provided by you, Illumina or third parties, increases organizational productivity.

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.

Emedgene streamlines tertiary analyses for germline research and rare disease genomics. Emedgene was designed to speed up the time and certainty of user-defined variant interpretations, prioritizations, curations, and research reports. Automate your tertiary analyses with explainable AI and automation that supports genomes, exomes and virtual panels. Unify your NGS instruments and your IT systems in order to simplify and secure the entire workflow. With the latest knowledge graph options, curation abilities, and a team to support you, you can confidently keep up with evolving science, technologies, and demand. Automated workflows and explainable AI (XAI), which can be used to increase throughput without adding more staff, are a great way to do this. Implement a high-throughput WGS,WES, virtual panel or targeted panel workflow integrated into your lab's ecosystem.

Alissa Interpret provides a universal software solution for the interpretation of genomic data in clinical decision support. Alissa Interpret is a platform that can be used for CGH or NGS tertiary analyses. It will increase your productivity, reduce turnaround time and maintain regulatory compliance. Alissa interpret, Agilent's SureSelect NGS reagents and intuitive Alissa Reporter for secondary NGS analysis, Magnis walkaway automated, and TapeStation QC will help you achieve complete operational efficiency. You can access external and internal variant knowledgebases. Automated variant analysis solution accelerates CGH/NGS tertiary analyses. SNVs and InDels are all handled by the same platform. CNVs, LOHs, fusions, CNVs and InDels can also be analyzed. Integrate with your LIMS to eliminate bottlenecks in genomic data analysis. Connect with peers to share knowledge and improve diagnostic yield.

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.

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.

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.

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.

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.

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.

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).

We help healthcare systems reduce their burden by providing automated analysis, diagnosis and treatment solutions to healthcare professionals and patients around the world. Congenica was founded by pioneering work done at the Wellcome Sanger Institute in the UK and the NHS. Our products combine the latest technology, automation and AI to create a platform that is uniquely differentiating. This platform can be used in any area of human disease, where genomic data is critical to unlocking actionable insight. We are a digital healthcare company that provides software and solutions to analyze and interpret genomic data at large scale. Full automation using powerful APIs and ML, to reduce the burden of specialist staff, increase case throughput, speed up decision-making and streamline reporting. Platform for accurate, certified, and secure clinical decision support with the highest level of confidence in clinical outcome.

GeoMx Digital Spatial Profiler allows you to quickly resolve tissue heterogeneity, and the complexity of the microenvironment with the most flexible and robust multi-omic spatial platform for analysis of FFPE tissue sections and fresh frozen tissue. GeoMx is a spatial biology platform which non-destructively profiles RNA and proteins from distinct tissue compartments, cell populations and an automated workflow that integrates standard histology staining. You can spatially profile the entire transcriptome and over 570 protein targets, either separately or simultaneously, using your choice of sample inputs. These include whole tissue sections (WTS), tissue microarrays or organoids. GeoMx DSP is the spatial biology platform you should choose for biomarker detection and hypothesis testing. Let the tissue guide you with a biology-driven profile that allows you to select the tissue microenvironments or cell types that are most important to you.

g.nome is a cloud-native, workflow-optimized platform that provides streamlined, scalable and interoperable workflows to perform next-generation sequencing analyses. g.nome offers a low-code/no code pipeline build. Using pre-built toolkits and workflows from a curated collection, g.nome gives researchers the power to import custom code and handle large datasets reliably. With g.nome you can remove long-standing barriers related to workflow language, visibility of process flow, and quality control. All that's left is streamlined, interoperable, and scalable genomic workflows. This allows research teams to focus on what they do best, which is the science.

Pluto was founded in 2021 by the Wyss Institute of Harvard University. It has been a trusted partner for many life sciences organizations across the country, from biotech start-ups and public biopharma companies. Our cloud-based platform allows scientists to manage all their data, run bioinformatics analysis, and create interactive visualizations that are published-quality. The platform is being used for a variety of biological applications. These include preclinical and translational science research, cell and gene therapies and drug discovery and development.

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.

Combinatorial barcoding technology removes the limitations and frustrations associated with yesterday's single cell approach. It eliminates the need for a specialized instrument and allows you to make new discoveries. Unleash the power of a single cellular. In a single experiment you can profile up to 1,000,000 cells or nuclei, allowing for unprecedented scientific progress. Evercode's combinatorial barcoding technology is superior to droplet-based approaches. You can now expand the size of your experiment without the restrictions of the past. Get better data quality. All without the need to use finicky hardware which is already outdated. You can perform single-cell experiments using a pipette, common laboratory equipment and a pipette. Split-pool combinatorial barscoding allows for scalable single cells, without the need for a custom instrument. Scalable single-cell sequence without the instrument. Each kit includes end-to-end reagents for solution and intuitive analysis software.

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

Founded in order to improve lives through high-value care, the hc1 platform has become a leader in bioinformatics for precision prescribing and testing. The cloud-based hc1 high-value care platform® organizes large amounts of live data, including genomics and medications, to provide solutions that ensure the right patient receives the right test and prescription. The hc1 Platform is a platform that powers solutions that optimize diagnostic testing, prescribing, and patient care for millions of patients across the country. Visit www.hc1.com to learn more about the proven approach of hc1 to personalizing care and eliminating waste for thousands upon thousands of health systems, diagnostic labs, and health plans.

This free tool provides stunning visualizations of genomic data, giving you the power to see exactly what is happening at each base pair within your samples. GenomeBrowse is a desktop application that runs natively on your computer. You no longer have to compromise on speed or interface quality in order to achieve a consistent experience across platforms. It was designed with performance in mind, to provide a faster browsing experience than any genome browser currently available. GenomeBrowse has also been integrated into the powerful Golden Helix VarSeq annotation and interpretation platform. VarSeq is a powerful tool for filtering, analyzing, and annotating your data. If you enjoy the visualization experience provided by GenomeBrowse then try it out. GB can show all your alignment data. You can find context-relevant findings by looking at all your samples together.

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.

Loupe Browser is an intuitive visualization software that allows you to explore and analyze 10x Genomics Chromium or Visium data. LoupeR can convert Seurat objects to Loupe Browser files. The Loupe Browser interface's navigation and interactive features are based on a dataset of lung squamous-cell carcinoma. The workspace is centered on the view panel, where single points representing barcodes of cells are shown in different projections. Each point represents a barcode. The vast majority of them correspond to a cell. The default projection, created by the Cell Ranger pipeline, is the tSNE plot. Other projections are also available. You can move the plot by dragging the mouse over cells. Zoom in and out using the mouse wheel or trackpad. Cluster labels will appear as you move the mouse over the plot. This is useful for data with a large number of precomputed groups.

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.

Design and simulate cloning processes accurately. Test complex projects, catch mistakes before they happen, get the right constructs on the first try. Cloning becomes easier when you see what you're doing. The intuitive interface simplifies complex tasks by providing you with a clear view of your work. SnapGene automates the documentation so you don't need to. Share and view every sequence edit or cloning process that led to the final plasmid. Improve your core molecular biological procedures and your results. SnapGene Academy, our new online learning centre, will help you master SnapGene as well as key concepts in cloning. SnapGene Academy contains over 50 video tutorials, taught by experts in the field. This helps you improve your skills in multiple molecular biological courses. SnapGene 7.2 offers a new visualization for primer homodimer structure and enhancements to the file management. Tabs can be organized using drag-and-drop in multiple windows.

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.

MEGA (Molecular Evolutionary Genetics Analysis), a powerful, user-friendly software package designed to analyze DNA and protein sequences from species and populations. It allows for both manual and automatic sequence alignment, phylogenetic trees inference, and evolutionary hypotheses testing. MEGA is a powerful tool for comparative analysis of sequences and understanding molecular evolutionary processes. It supports a wide range of statistical methods, including maximum likelihood, Bayesian Inference, and ordinary least-squares. MEGA has advanced features like real-time captions to explain the results of the analysis and the methods used. It also uses the maximum composite likelihood method to estimate evolutionary distances. The software comes with powerful visual tools such as the alignment/trace editors and tree explorers, and supports multi-threading to ensure efficient processing. MEGA is compatible with Windows, Linux and macOS.

BigOmics Analytics, a biodata analytics company, develops platforms that enable biologists to visualize and understand omics data. Omics Playground is our flagship product. It's a user-friendly software that helps users store and visualize data from experiments. BigOmics Analytics provides over 18 interactive modules and 150+ plots. This allows users to co-analyze with more than 6,500 public datasets. It also gives access to 50,000+ public pathways and gene sets. The platform integrates drug connectivity databases and drug sensitivity database with over 30,000 expression profiles. BigOmics Analytics is designed to help users discover more and spend less time on data analyses, all without the need for coding skills. The platform uses best-in class methods to ensure robust and reproducible results.

Our global data-sharing networks generate clinically actionable insights to improve patient outcomes globally. SOPHiA GENETICS is on a mission to build the future in AI-assisted medical care. We are integrating multimodal data from healthcare-omics, unlocking existing data silos and developing machine learning models in order to produce actionable insight that can eventually support healthcare professionals improve patient outcomes. The new interface, features, and cutting edge capabilities will accelerate precision medicine workflows and bring us closer to democratizing the data-driven medicine.

Microsoft's experience and scale in managing exabyte-scale workloads can be used to reduce the need for you to manage your own data center. Microsoft Genomics on Azure gives you the performance and scalability that comes with a supercomputing facility of the highest caliber, all on demand. Take advantage of an MPI backend network that has a latency of under three microseconds, and a non-blocking throughput of 32 gigabits per seconds (Gbps). This backend network features remote direct memory access, which allows parallel applications to scale up to thousands of cores. Azure offers high memory and HPC class CPUs to help get results quickly. Scale up or down according to your needs and only pay for what you actually use. Azure's worldwide network of data centers can help you meet your compliance needs and address data sovereignty issues. Easy integration into your existing pipeline code with a REST API and simple Python client.

Combining the multiomic data and medical history of an individual to deliver more personalized healthcare. Use purpose-built databases to support large-scale analyses and collaborative research across populations. Accelerate your research with scalable workflows, integrated computation tools and integrated computing. Protect patient privacy by ensuring HIPAA compliance and using built-in data access, logging and logging. AWS HealthOmics enables healthcare and life sciences organizations and their software partner to store, query and analyze genomic, transcriptionomic, or other omics data, and then generate insights using that data. Store and analyze omics for hundreds of thousands patients to understand the relationship between omics variation and phenotypes in a population. Create reproducible and traceable workflows for clinical multiomics to reduce turnaround time and increase productivity. Integrate multiomic analyses into clinical trials to test out new drug candidates.

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.

NVIDIA®, Parabricks®, is the only GPU accelerated suite of genomic analysis apps that delivers fast, accurate analysis of exomes and genomes for sequencing centres, clinical teams and high-throughput instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians--enabling significantly faster runtimes, workflow scalability, and lower compute costs. NVIDIA Parabricks can accelerate runtimes in a variety of hardware configurations, from FastQ to Variant Call format (VCF). This is done with NVIDIA Tensor Core GPUs. Genomic researchers will experience acceleration at every step of their analysis workflows - from alignment to sorting and variant calling. The compute time can be accelerated up to 107X when more GPUs are added.

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.

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.

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.

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.

Kanteron Platform ingested digital pathology slides, medical images, and patient data from modalities and sequencers. It then provided a complete data toolkit for all hospital network teams. Precision Medicine at the point-of-care: Pharmacogenomics is used to prevent adverse medication events. It also incorporates data sources that have drug-gene interactions that were not previously available in easily accessible formats (e.g. Tables in a PDF document) and implementing the major Pharmacogenomic Databases (like PharmGKB or DGIdb, OpenTargets ...). This allows the user to refine their query to specific gene families, types, interactions, etc. Flexible AI allows you to choose the data set that is most appropriate for your use case and then apply it to your relevant medical images.

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

DNAnexus Titan™, a trusted data analysis solution, is the future of genomics and clinical pipelines. Legacy informatics tools are not designed to handle today's larger volumes of sequencing data. Research centers and clinical diagnostic test companies find it difficult to create, refine and validate pipelines using home-grown systems. DNAnexus Titan™ is a unified platform which removes bottlenecks from development and production. It brings all data and pipelines into one place, resulting in unparalleled efficiency. Let us handle the heavy lifting in managing industry- and region-specific compliance and security requirements, while meeting the global demand for sequencing information.

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.