Best Enterprise Genomics Data Analysis Software
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Compare the Top Enterprise Genomics Data Analysis Software as of April 2025
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What is Enterprise Genomics Data Analysis Software?
Genomics data analysis software helps researchers and scientists analyze and interpret large-scale genomic data, enabling insights into genetic variations, mutations, and biological functions. It provides tools for processing raw genomic sequences, aligning them to reference genomes, and identifying significant patterns or mutations. The software often includes features like data visualization, statistical analysis, and integration with other biological datasets to support comprehensive research. By automating complex analyses, genomics data analysis software accelerates research workflows and improves the accuracy of genetic insights. Ultimately, it advances scientific discovery and personalized medicine by enabling a deeper understanding of the human genome and other organisms. Compare and read user reviews of the best Enterprise Genomics Data Analysis software currently available using the table below. This list is updated regularly.
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1
Geneious
Geneious
Geneious Prime makes bioinformatics accessible by transforming raw data into visualizations that make sequence analysis intuitive and user-friendly. Simple sequence assembly and easy editing of contigs. Automatic annotation for gene prediction, motifs, translation, and variant calling. Genotype microsatellite traces with automated ladder fitting and peak calling and generates tables of alleles. Beautiful visualizations of annotated genomes and assemblies are displayed in a highly customizable sequence view. Powerful SNP variants analysis, simple RNA-Seq expression analysis, and amplicon metagenomics. Design and test PCR and sequencing primers and create your own searchable primer database. Geneious Biologics is a flexible, scalable, and secure way to streamline your antibody analysis workflows, create high-quality libraries and select the optimal therapeutic candidates.Starting Price: $1,280 per year -
2
OmicsBox
BioBam Bioinformatics S.L.
OmicsBox is a leading bioinformatics solution that offers end-to-end data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex data sets, and streamline their analysis process. It is designed to be user-friendly, efficient, and with a powerful set of tools to extract biological insights from omics data. The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation and rich visualizations of results. The functional analysis module includes the popular Blast2GO annotation methodology and makes OmicsBox particularly suited for non-model organism researchStarting Price: €100/month/seat -
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SnapGene
SnapGene
Accurately design and simulate cloning procedures. Test complicated projects, catch errors before they happen, and obtain the right constructs the first time. Cloning is easier when you can see what you are doing. The intuitive interface offers you unparalleled visibility into your work, simplifying often complex tasks. SnapGene automates documentation, so you don’t have to. See and share every sequence edit and cloning procedure that led to your final plasmid. Improve your core molecular biology procedures, and improve your results. Master SnapGene and key concepts in cloning with our new online learning center, SnapGene Academy. Containing over 50 video tutorials taught by scientific experts, SnapGene Academy helps you advance your skills across multiple molecular biology courses. SnapGene 7.2 provides a new visualization of primer homodimer structures and enhancements to file management, allowing tabs to be organized in multiple windows using drag and drop.Starting Price: $295 per year -
4
Genome Analysis Toolkit (GATK)
Broad Institute
Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size. The GATK is the industry standard for identifying SNPs and indels in germline DNA and RNAseq data. Its scope is now expanding to include somatic short variant calling and to tackle copy number (CNV) and structural variation (SV). In addition to the variant callers themselves, the GATK also includes many utilities to perform related tasks such as processing and quality control of high-throughput sequencing data and bundles the popular Picard toolkit. These tools were primarily designed to process exomes and whole genomes generated with Illumina sequencing technology, but they can be adapted to handle a variety of other technologies and experimental designs.Starting Price: Free -
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Galaxy
Galaxy
Galaxy is an open source, web-based platform for data-intensive biomedical research. If you are new to Galaxy start here or consult our help resources. You can install your own Galaxy by following the tutorial and choosing from thousands of tools from the tool shed. This instance of Galaxy is utilizing infrastructure generously provided by the Texas Advanced Computing Center. Additional resources are provided primarily on the Jetstream2 cloud via ACCESS, and with support from the National Science Foundation. Quantify, visualize, and summarize mismatches in deep sequencing data. Build maximum-likelihood phylogenetic trees. Phylogenomic/evolutionary tree construction from multiple sequences. Merge matching reads into clusters with TN-93. Remove sequences from a reference that are within a given distance of a cluster. Perform maximum-likelihood estimation of gene essentiality scores.Starting Price: Free -
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BioTuring Browser
BioTuring Browser
Explore hundreds of curated single-cell transcriptome datasets, along with your own data, through interactive visualizations and analytics. The software also supports multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomic. Interactively explore the world's largest single-cell expression database. Access and query insights from a single-cell database of millions of cells, fully annotated with cell type labels and experimental metadata. Not just creating a gateway to published works, BioTuring Browser is an end-to-end solution for your own single-cell data. Import your fastq files, count matrices, Seurat, or Scanpy objects, and reveal the biological stories inside them. Get a rich package of visualizations and analyses in an intuitive interface, making insight mining from any curated or in-house single-cell dataset become such a breeze. Import single-cell CRISPR screening or Perturb-seq data, and query guide RNA sequences.Starting Price: Free -
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ROSALIND
ROSALIND
Generate greater return on research and improve team productivity. Extend private and public data across teams with interactive data visualization. Rosalind is the only multi-tenant SaaS platform designed for scientists. Analyze, interpret, share, plan, validate, and generate new hypotheses. Code-free visualization, AI-powered interpretation, best-in-class collaboration. Scientists of every skill level can benefit from ROSALIND since no programming or bioinformatics skills are required. With powerful downstream analysis and collaboration, ROSALIND is a discovery platform and data hub connecting experiment design, quality control, and pathway exploration. ROSALIND automatically manages tens of thousands of compute cores and petabytes of storage to dynamically scale up and down for every experiment to deliver results. Instantly share results with other scientists across the globe with audit tracking so everyone can focus on the interpretation, not the processing.Starting Price: $3,250 per month -
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GenomeBrowse
Golden Helix
This free tool delivers stunning visualizations of your genomic data that give you the power to see what is occurring at each base pair in your samples. GenomeBrowse runs as a native desktop application on your computer. No longer do you have to sacrifice speed and interface quality to obtain a consistent cross-platform experience. It was developed with performance in mind to deliver a faster and more fluid browsing experience than any other genome browser available. GenomeBrowse is also integrated into the powerful Golden Helix VarSeq variant annotation and interpretation platform. If you love the visualization experience of GenomeBrowse, check out VarSeq for filtering, annotating, and analyzing your data before utilizing the same visualization interface. GB can display all your alignment data. Looking at all your samples in one view can help you spot contextually relevant findings.Starting Price: Free -
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MEGA
MEGA
MEGA (Molecular Evolutionary Genetics Analysis) is a powerful and user-friendly software suite designed for analyzing DNA and protein sequence data from species and populations. It facilitates both automatic and manual sequence alignment, phylogenetic tree inference, and evolutionary hypothesis testing. MEGA supports a variety of statistical methods including maximum likelihood, Bayesian inference, and ordinary least squares, making it an essential tool for comparative sequence analysis and understanding molecular evolution. MEGA offers advanced features such as real-time caption generation to help explain the results and methods used in analysis and the maximum composite likelihood method for estimating evolutionary distances. The software is equipped with robust visual tools like the alignment/trace editor and tree explorer and supports multi-threading for efficient processing. MEGA can be run on multiple operating systems, including Windows, Linux, and macOS.Starting Price: Free -
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Partek Flow
Partek
Partek bioinformatics software delivers powerful statistical and visualization tools in an easy-to-use interface. Researchers of all skill levels are empowered to explore genomic data quicker and easier than ever before. We turn data into discovery®. Pre-installed workflows and pipelines in our intuitive point-and-click interface make sophisticated NGS and array analysis attainable for any scientist. Custom and public statistical algorithms work in concert to easily and precisely distill NGS data into biological insights. Genome browser, Venn diagrams, heat maps, and other interactive visualizations reveal the biology of your next-generation sequencing and array data in brilliant color. Our Ph.D. scientists are always just a phone call away and ready to help with your NGS analysis any time you have questions. Designed specifically for the compute-intensive needs of next-generation sequencing applications with flexible installation and user management options. -
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Emedgene
Illumina
Emedgene streamlines your tertiary analysis workflows for rare disease genomics and other germline research applications. Emedgene is designed to accelerate the time and certainty in user-defined variant interpretation, prioritization, curation, and research report generation. Enable greater efficiency from your tertiary analysis workflows with explainable AI (XAI) and automation supporting genomes, exomes, virtual panels, and targeted panels. Unify your laboratory and NGS instrumentation with your IT systems to simplify and secure your complete workflow. Confidently keep pace with evolving science, technology, and demand with up-to-date knowledge graph options, curation capabilities, and a team of experts to support your journey. Increase throughput without increasing headcount using explainable AI (XAI) and automated workflows. Implement a high throughput WGS, WES, virtual panel, or targeted panel workflow that is integrated into your lab's digital ecosystem. -
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Illumina Connected Analytics
Illumina
Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems. -
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Illumina DRAGEN Secondary Analysis
Illumina
The Illumina DRAGEN Secondary Analysis provides accurate, comprehensive, and efficient analysis of next-generation sequencing data. Graph reference genome and machine learning driving unprecedented accuracy. Provides ultra-efficient workflow; can fully process a 34x whole human genome in ~30 minutes with DRAGEN server v4. Furthers ultra-efficient workflow by reducing FASTQ file sizes up to 5×. Analyzes next-generation sequencing (NGS) data from whole genomes, exomes, methylomes, and transcriptomes. Available on platform of choice and scalable based on needs. DRAGEN analysis leads in accuracy for germline and somatic variant calling demonstrated in industry challenges from precisionFDA. DRAGEN analysis enables labs of all sizes and disciplines to do more with their genomic data. DRAGEN analysis uses highly reconfigurable field-programmable gate array technology (FPGA) to provide hardware-accelerated implementations of genomic analysis algorithms. -
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Microsoft Genomics
Microsoft
Instead of managing your own data centers, take advantage of Microsoft's scale and experience in running exabyte-scale workloads. Because Microsoft Genomics is on Azure, you have the performance and scalability of a world-class supercomputing center, on demand in the cloud. Take advantage of a backend network with MPI latency under three microseconds and non-blocking 32 gigabits per second (Gbps) throughput. This backend network includes remote direct memory access technology that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based on what you need and pay only for what you use to reduce costs. Tackle data sovereignty requirements with a worldwide network of Azure data centers and adhere to your compliance requirements. Easily integrate into your existing pipeline code using a REST-based API and simple Python client. -
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Cufflinks
Cole Trapnell
Cufflinks assemble transcripts, estimate their abundances and test for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one, taking into account biases in library preparation protocols. Cufflinks was originally developed as part of a collaborative effort between the Laboratory for Mathematical and Computational Biology. In order to make it easy to install Cufflinks, we provide a few binary packages to save users from the occasionally frustrating process of building Cufflinks, which requires that you install the libraries. Cufflinks includes a number of tools for analyzing RNA-Seq experiments. Some of these tools can be run on their own, while others are pieces of a larger workflow.Starting Price: Free -
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Bioconductor
Bioconductor
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists. Resources to maximize the potential of Bioconductor. From basic functionalities to advanced features, our tutorials, guides, and documentation have you covered. Bioconductor uses the R statistical programming language and is open source and open development. It has two releases each year and an active user community. Bioconductor provides Docker images for every release and provides support for Bioconductor use in AnVIL. Founded in 2001, Bioconductor is an open-source software project widely used in bioinformatics and biomedical research. It hosts over 2,000 R packages contributed by over 1,000 developers, with over 40 million downloads per year. Bioconductor has been cited in more than 60,000 scientific publications.Starting Price: Free -
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Cellenics
Biomage
Turn your single-cell RNA sequencing data into meaningful insight with Cellenics software. Biomage hosts a community instance of Cellenics, an open source analytics tool for single-cell RNA sequencing data that has been developed at Harvard Medical School. It enables biologists to explore single-cell datasets without writing code and helps scientists and bioinformaticians to work together more effectively. It takes you from count matrices to publication-ready figures in just a few hours and can be integrated seamlessly with your workflow. It’s fast, interactive, and user-friendly. And it’s cloud-based, secure, and scaleable. The Biomage-hosted community instance of Cellenics is free for academic researchers with small/medium-sized datasets (up to 500,000 cells). It’s used by 3000+ academic researchers studying cancer, cardiovascular health, and developmental biology.Starting Price: Free -
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VarSeq
Golden Helix
Simple, fast, and repeatable variant analysis software for gene panels, exomes, and whole genomes. VarSeq is an intuitive, integrated software solution for tertiary analysis. With VarSeq you can automate your workflows and analyze variants for gene panels, exomes, and whole genomes. Understanding genomic data has never been easier thanks to our software. VarSeq software provides a powerful filtering and annotation engine to sift through large variant data sets. Using a chain of filters, you can quickly narrow your list of variants down to those that are most likely to be of interest. After determining the parameters that work well for your analysis, you can save the state of your filters so that you can easily apply the same analysis to another dataset. The same automated workflow can be used for each batch of samples, making VarSeq an ideal solution for high-throughput environments. Real-time filtering gives you the power to quickly prototype and tune analysis workflows. -
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VSClinical
Golden Helix
VSClinical allows for the clinical interpretation of variants based on ACMG & AMP guidelines. The VSClinical guided workflow enables following the American College of Medical Genetics (ACMG) guidelines used to identify and classify causal variants for inherited disease risk, cancer predisposition, and the diagnosis of rare diseases. The ACMG/AMP joint guidelines for variant interpretation provide a set of criteria to score variants and place them into one of five classification tiers. Following the guidelines requires deep diving into the annotations, genomic context, and existing clinical assertions about every variant. VSClinical provides a tailored workflow to score each relevant criterion while also providing all the bioinformatic, literature and evidence from clinical knowledgebases to assist in the scoring and interpretation process. VSClinical is designed to allow variant scientists to efficiently process variants. -
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hc1
hc1
Founded to improve lives with high-value care, hc1 has emerged as the leader in bioinformatics for precision testing and prescribing. The cloud-based hc1 High-Value Care Platform® organizes volumes of live data, including lab results, genomics, and medications, to deliver solutions that ensure that the right patient gets the right test and the right prescription. Today, the hc1 Platform powers solutions that optimize diagnostic testing and prescribing for millions of patients nationally. To learn more about hc1's proven approach to personalizing care while eliminating waste for thousands of health systems, diagnostic laboratories, and health plans, visit www.hc1.com. -
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Universal Analysis Software (UAS) provides a platform for analyzing and managing forensic genomic data, simplifying complex bioinformatics. The UAS is an all-inclusive solution, containing analysis modules supporting all current ForenSeq workflows including ForenSeq MainstAY, ForenSeq Kintelligence, ForenSeq DNA Signature Prep, ForenSeq mtDNA Whole Genome, and ForenSeq mtDNA Control Region. UAS rapidly generates FASTQ files, performs alignment, and calls forensically relevant variants from NGS data. Extensive testing backs highly reliable variant calls to deliver accurate results in a user-friendly package with no per-seat licenses. Designed specifically for forensic analysts, UAS streamlines handling of base-by-base sequence information and contains a range of features to enable everything from efficient review of everyday STR profiles to detailed analysis of the most challenging samples.
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QIAGEN CLC Genomics Workbench
QIAGEN Digital Insights
QIAGEN CLC Genomics Workbench is a powerful solution that works for everyone, no matter the workflow. Cutting-edge technology and unique features and algorithms widely used by scientific leaders in industry and academia make it easy to overcome challenges associated with data analysis. User-friendly bioinformatics software solutions allow for comprehensive analysis of your NGS data, including de novo assembly of whole genomes and transcriptomes, resequencing analysis (WGS, WES and targeted panel support), variant calling, RNA-seq, ChIP-seq and DNA methylation (bisulfite sequencing analysis). Analyze your RNA-seq and small RNA (miRNA, lncRNA) data with easy-to-use transcriptomics workflows for differential expression analysis at gene and transcript levels. QIAGEN CLC Genomics Workbench is developed to support a wide range of NGS bioinformatics applications. -
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Eidogen-Sertanty Target Informatics Platform (TIP)
Eidogen-Sertanty
Eidogen-Sertanty's Target Informatics Platform (TIP) is the world's first structural informatics system and knowledgebase that enables researchers with the ability to interrogate the druggable genome from a structural perspective. TIP amplifies the rapidly expanding body of experimental protein structure information and transforms structure-based drug discovery from a low-throughput, data-scarce discipline into a high-throughput, data-rich science. Designed to help bridge the knowledge gap between bioinformatics and cheminformatics, TIP supplies drug discovery researchers with a knowledge base of information that is both distinct from and highly complementary to information furnished by existing bio- and cheminformatics platforms. TIP's seamless integration of structural data management technology with unique target-to-lead calculation and analysis capabilities enhances all stages of the discovery pipeline. -
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Correlation Engine
Illumina
Correlation Engine is an interactive omics knowledgebase that puts private omics data in a biological context with highly curated public data. One of the largest biological databases in the world, Correlation Engine provides life science researchers with unprecedented access to vast numbers of high-quality whole-genome analyses and insightful scientific tools. The knowledgebase enables novel discoveries by interrogating billions of data points derived from standardized analyses of whole genome studies. A suite of applications to determine biological context, a continually growing library of curated data sets, and support for multiple species and multi-omic datasets. Utilize a simple graphical user interface to leverage guided workflows, push-button applications, and APIs. Accelerate your journey from omic data to decision and get access to over 25,000 multi-omics studies (from over 250,000 signatures) that have been reanalyzed. -
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BaseSpace Sequence Hub
Illumina
Data management and simplified bioinformatics for labs getting started and for rapidly scaling next-generation sequencing (NGS) operations. As a key component of the BaseSpace Suite, BaseSpace Sequence Hub is a direct extension of your Illumina instruments. Encrypted data flow from the instrument into BaseSpace Sequence Hub, enabling you to manage and analyze your data easily with a curated set of analysis apps. BaseSpace Sequence Hub is powered by Amazon Web Services (AWS). Offers a security-first environment. Enables you to set up runs and monitor instrument run quality. Promotes efficiency by converting sequencing data to a standard format and streaming directly to the cloud. Provides access to computing resources without the capital expenditure of in-house infrastructure. Increases organizational productivity with easy access to a multitude of genomic analysis apps (provided by you, Illumina, or third parties). -
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XetaBase
Zetta Genomics
The unique XetaBase platform simplifies tertiary analysis, aggregating, indexing, and enriching secondary genomic data, enabling continual re-interpretation to unlock research and clinical insight. XetaBase accelerates data management and the cost-effective application of genomic data in the lab and clinic. XetaBase encompasses genomic scale, the greater the volume and complexity, the greater the insight and outcomes. XetaBase is a genomic-native technology, built on the open-source, OpenCB software platform to meet the scale, speed, and re-interpretation demands of genomic medicine. Zetta Genomics delivers genomic data management fit for the precision medicine age. XetaBase is a completely novel solution to the challenges of genomic data. It sweeps away obsolete flat file approaches to bring meaningful and actionable genomic data into the lab and the clinic. XetaBase empowers continual re-interpretation while scaling seamlessly as databases grow to encompass genome sequences. -
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g.nome
Almaden Genomics
g.nome, a cloud-native platform that delivers streamlined, scalable, and interoperable workflows for next-generation sequencing analysis. g.nome provides a low-code/no-code pipeline build. With pre-built workflows and toolkits from a curated library, g.nome is giving power to researchers — enabling them to import custom code, handle big datasets reliably, and optimize team collaboration from anywhere. With g.nome, long-time barriers linked to workflow language, process flow visibility, and quality control are removed. All that’s left are streamlined, scalable, and interoperable genomic workflows — leaving research teams to do what they do best: focus on the science. -
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SOPHiA GENETICS
SOPHiA GENETICS
Our global data-sharing network generates clinically actionable insights from data to improve patient outcomes worldwide. SOPHiA GENETICS’ mission is to build the future of AI-assisted medicine. We are integrating multimodal healthcare-omics data, unlocking the existing data silos, and developing machine learning models to produce actionable insights that could eventually support healthcare professionals to improve patient outcomes. The revamped interface, new features, and cutting-edge capabilities are set to further accelerate precision medicine workflows, bringing us another step closer to democratizing data-driven medicine. Powered by AI and machine learning (ML), our global cloud-based platform provides a safe, secure, and instantly accessible environment to standardize, compute, and analyze digital health data, generating insights from complex multimodal data sets that have the potential to improve diagnosis, therapy selection, analysis, and drug development. -
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Parse Biosciences Evercode
Parse Biosciences
Combinatorial barcoding technology strips away the limitations and frustrations of yesterday’s single-cell approach. It ditches the specialized instrument, freeing you to pursue unprecedented discoveries. Unleash the potential of a single cell. Profile from 1000 to 1 million cells or nuclei in a single experiment, offering unparalleled scientific progress. Evercode combinatorial barcoding technology blows droplet-based approaches out of the water. Expand the size of your experiments without the limitations of yesterday’s restraints. Get better data quality. All without the need for finicky hardware that’s already out of date. Perform single-cell experiments with nothing more than a pipette and common laboratory equipment. Split-pool combinatorial barcoding enables scalable single cells without any custom instrument. Scalable single-cell sequencing without the instrument. Each kit provides end-to-end solution reagents and intuitive analysis software. -
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Loupe Browser
10x Genomics
Loupe Browser is a powerful visualization software that provides the intuitive functionality you need to explore and analyze your 10x Genomics Chromium and Visium data. You can also convert your Seurat objects into Loupe Browser files using the LoupeR package. The navigation and interactive functionality of the Loupe Browser interface uses a lung squamous cell carcinoma dataset. The workspace is centered around the view panel in which single points representing cell barcodes are shown in a variety of projections. Each point represents a single barcode, the vast majority of which correspond to a single cell. The default projection is the t-SNE plot created by the cell ranger pipeline, though other projections are available. You can drag the mouse over the cells to reposition the plot and use the mouse wheel or trackpad to zoom in and out. Cluster labels appear as you move your mouse over the plot, which is useful for data that has a high number of precomputed clusters.