Powering insights across the life sciences
If it involves biology and big data, Watershed is the solution. With 100+ unique data analysis templates, customizable workflows, and a dedicated team of bioinformaticians, no analysis is too complex.
Explore Applications
Whole Genome Sequencing (WGS) & Whole Exome Sequencing (WES)
Variant Calling
Long-Read Sequencing
Gene Editing
Public Datasets
Genome-Wide Association Studies (GWAS)
Mendelian Randomization
ATAC-Seq
ChIP-Seq
RNA-Seq
Single Cell RNA-Seq
Public Datasets
Geneformer
Spatial Sequencing
Immune Repertoire Sequencing
Mass Spectrometry
Olink
AlphaFold2
Custom Integrations
Public Datasets
Cellranger
Cell Labeling
Cell Segmentation
Metagenomics
de novo Assembly
Metatranscriptomics
Public Datasets
Read the latest insights
Learn about new research, best data practices, and more.
Webinar
From Data to Discovery: Computational Tools for the Analysis of Spatial Genomics Data
Dr. Matthew Bernstein shares insights from his latest projects in spatial transcriptomics, showcasing cutting-edge analytical approaches that are shaping the future of genomics research.
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Blog
You Should Learn To Code
Biologists, we see you—copying, pasting, and manually cleaning data in spreadsheets. But what if there was a better way? Our latest blog series by Dr. Andrew Wight is here to help you take the first step into programmatic data analysis.
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Blog
Science Chat with Tom Backus
Tom Backus is an Associate and the Commercial Lead at Amplify, an early-stage translational investment fund of Mass General Brigham Innovation. We spoke to Tom about bridging the gap from lab to commercial product, and fostering curiosity through community.
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Blog
Accelerating Biology with GPUs
Graphical processing units (GPUs) are powerful computing components that are increasingly being used by biology researchers to run foundation models and accelerate analyses.
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