Best Nonprofit Bioinformatics Software

Since its founding in 2021 from the Wyss Institute at Harvard University, Pluto has become a trusted partner of life sciences organizations around the country ranging from biotech start-ups to public biopharma companies. Our cloud-based platform gives scientists the ability to manage all of their data, run bioinformatics analyses, and create interactive and publication-quality visualizations. The platform is currently being used for a wide variety of biological applications, from preclinical / translational science research, to cell and gene therapies, drug discovery and development, to clinical research.

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.

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.

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.

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.

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.

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.

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.

Qlucore Omics Explorer is so easy to use that you no longer have to depend on an expert in bioinformatics to explore and analyze your Omics and NGS data sets. Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful and flexible visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data. The software is developed to allow the workflow which best suits you and your experiments and maximizes the outcome of your research. By combining instant visualization with powerful statistics and flexible selection methods, you will be able to see your results immediately. As a user, you decide your own workflow and starting point. You are in control and can tailor the exploration to meet your specific needs.

With its comprehensive suite of integrated software, StarDrop™ delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop™ enables a seamless flow from the latest data through predictive modeling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process. Successful compounds require a balance of many different properties. StarDrop™ guides you through this multi-parameter optimization challenge to target compounds with the best chance of success, saving you time and resources by enabling you to synthesize and test fewer compounds.

Stop wresting with cloud infrastructure and broken informatics tools. Start discovering biological insights today. Scientific discovery is bottlenecked by the fragmentation of tooling across biology and bioinformatics teams. We built a harmonized bioinformatics platform between wet lab and dry lab in the cloud to help teams accelerate their R&D. Import raw data from your cloud, your service provider, or your team's instruments. Develop and deploy custom bioinformatics workflows in any language. Stop wrestling with your infrastructure. Easily run any workflow and keep a log of every analysis. Ready-to-go interactive visualizations for NGS data with point-and-click plots. Latch supports integration with your organization’s AWS S3. Access hundreds of terabytes of data in an organic filesystem you are familiar with. Define bioinformatics workflows and dynamically generate no-code interfaces using Python with tunable compute and storage.

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.

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).

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.

​Seqera is a bioinformatics platform developed by the creators of Nextflow, designed to streamline and enhance the management of scientific data analysis workflows. It offers a comprehensive suite of tools, including the Seqera Platform for orchestrating scalable data pipelines, Seqera Pipelines for accessing a curated collection of open source workflows, Seqera Containers for simplifying container management, and Seqera Studios for interactive data analysis environments. It supports seamless integration with various cloud and on-premises infrastructures, ensuring reproducibility and compliance in scientific research. Integrate Seqera into existing on-premises systems and cloud platforms like AWS, GCP, and Azure, with no forced migrations. Maintain full control over data residency and scale globally, without compromising security or performance.

Select two custom cell groups based on metadata to find their top differentially expressed genes. Leverage millions of cells from the integrated CZ CELLxGENE corpus for powerful analysis. Execute interactive analyses on a dataset to explore how patterns of gene expression are determined by spatial, environmental, and genetic factors using an interactive speed no-code UI. Understand published datasets or use them as a launchpad to identify new cell sub-types and states. Census provides access to any custom slice of standardized cell data available on CZ CELLxGENE Discover in R and Python. Explore an interactive encyclopedia of 700+ cell types that provides detailed definitions, marker genes, lineage, and relevant datasets in one place. Browse and download hundreds of standardized data collections and 1,000+ datasets characterizing the functionality of healthy mouse and human tissues.

We drive precision medicine and help reduce the burden on healthcare systems by delivering automated analysis, diagnosis, and treatment solutions to healthcare providers and patients worldwide. Congenica was founded on pioneering work at the Wellcome Sanger Institute and the UK NHS. Our products combine state-of-the-art technology, market-leading automation, and AI to enable our uniquely differentiated platform to be employed in all areas of human disease where genomic information is key to unlocking actionable insights. We are a digital health company providing software and solutions for the analysis and interpretation of genomic data at scale. Full automation with powerful APIs and ML to reduce the burden on specialist staff, maximize case throughput, accelerate decision-making, and streamline reporting. Certified, accurate, and secure analysis platform to support clinical decisions with the highest degree of confidence in the clinical outcome.