Resources

Dive into the latest research insights, read up on new analysis tools, download case studies and white papers, and more.

Hero-Image Showing Graphs and Science
Silvin Golumbeanu & Andrew Wight, Ph.D.,

Geneformer: Powering Drug Target Discovery with Network Biology

Geneformer is a tool developed by Theodoris et al. (Nature 2023) to predict tissue-specific gene network dynamics from single-cell transcriptomic data.
Read More
Naba Naufer, Ph.D.

AlphaFold: Applications for Biomedical Research

AlphaFold2 predictions have been used to probe questions at the heart of biomedical research, like how to design superior drugs, and how protein structure impacts disease.
Read More
Silvin Golumbeanu

Nobel Prize Day 2023: The Road to mRNA Vaccines

Drs. Karikó and Weissman’s research into mRNA and the immune system enabled the rapid development of vaccines against the SARS-CoV-2 virus.
Read More
Argus Athanas, Ph.D.

Using gnomAD to Drive Insights in Precision Medicine

The Genome Aggregation Database (gnomAD) is a collaborative effort to make data from large-scale sequencing projects publicly available for scientific use. Learn how to leverage the latest updates to the database, including new data from more than 700k individuals.
Read More
Stefanie Morgan, Ph.D.

Leveraging Public Datasets for Drug Discovery

The amount of public biological data available to researchers has exploded – but garnering insights requires appropriate infrastructure, expertise, and resources.
Read More
Stefanie Morgan, Ph.D.

Cell Painting with Watershed

The JUMP-Cell Painting Consortium combines images from nearly 120,000 chemical and 18,000 genetic perturbations with high-dimensional data analytics to streamline the drug discovery process.
Read More
Tommy Tang, Ph.D.

Variant Calling for Disease-Causing Mutations: The state-of-art process

Explore important considerations for effective and accurate variant calling in WGS/WES data.
Read More
Tommy Tang, Ph.D.

Unlock the Power of Genomics Data Analysis: Watershed's Seamless Cloud Computing Solution

Dr. Tommy Tang reviews the challenges with cloud computing in biotech, with an emphasis on concerns facing startups.
Read More

Watershed Informatics: The First Omics Bench for Modern Researchers

Watershed was founded to empower the world’s scientists to transform today’s big data into tomorrow’s precision medicines.
Read More

The Future of Human Gene Editing

Coming on 3/7, Watershed has the honor of hosting a webinar by groundbreaking genetics researcher Nancy L. Craig.
Read More

The Winding Journey from Multi-Omics to Insight

Today’s modern R&D team needs to transform multi-omics data into actionable insights. What does the process look like today, and what can it look like with Watershed?
Read More
January 29, 2024

New Automation Features for Streamlined Data Processing and Analysis

Our new workflow automation features help you accelerate high-volume data processing from upload to output.
Read More
December 29, 2023

Watershed's 2023 Year In Review

From closing Series A to processing over a petabyte of data, 2023 was a pivotal year in Watershed's growth. Check out this collection of some of our top highlights from this year.
Read More
April 9, 2023

Watershed Secures $14.5M Series A to Help Scientists Unlock Multi-Omic Insights for Drug Discovery

Financing will accelerate commercial roll-out of the company's cloud-based platform that provides a unified workspace for data-intensive biomedical research accessible by both biologists and bioinformaticians
Read More

Accelerating Multi-omics Analysis

Download our white paper to learn how Watershed is revolutionizing the use of big data in biology.
Read More

Building an Innovative Drug Discovery Platform with Watershed

Learn how a pre-clinical stage company is using Watershed to develop a novel approach to small molecule drug discovery.
Read More

FAQ

How much does a Watershed license cost?

We build out your plan depending on your unique needs and constraints. Book a demo today to tour the platform and discuss details with our team!

How do we get our data on the Watershed platform?

We can integrate data from anywhere – other clouds, links, local machines… the sky is the limit.

Where is Watershed headquartered?

We are based in Cambridge, Massachusetts, but we have bioinformaticians and engineers across the United States.