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Pipelining genomics datasets 🪠 🧬
💭
Pipelining genomics datasets 🪠 🧬

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@K-Dense-AI
K-Dense K-Dense-AI

United States of America

@xqiu625
Xinru Qiu, PhD xqiu625
AI4Bio Scientist 💊
@gutierrez-arcelus-lab
Gutierrez-Arcelus Lab gutierrez-arcelus-lab
Boston Children's Hospital, Harvard Medical School.

United States of America

@retrogenomics
Gael Cristofari retrogenomics

University Côte d'Azur

@tobiasrausch
Tobias Rausch tobiasrausch
Researcher in Computational Genomics

EMBL Germany

@TiffanyAmariuta
Tiffany Amariuta TiffanyAmariuta
Assistant Professor at UCSD
@lucaspatel
Lucas Patel lucaspatel
md/phd student @ ucsd
@rmhubley
Robert Hubley rmhubley

Institute for Systems Biology Seattle, WA

@vsbuffalo
Vince Buffalo vsbuffalo
Senior Research Scientist at the Institute for Disease Modeling. ♥s statistics, probability, modeling. Author of the O'Reilly book Bioinformatics Data Skills

Institute for Disease Modeling Seattle, WA

@adamewing
adamewing

Mater Research Institute, University of Queensland Woolloongabba, QLD

@hlilab
Heng Li lab hlilab
Heng Li lab at Dana-Farber Cancer Institute & Harvard Medical School
@gymrek-lab
Gymrek Lab at UC San Diego gymrek-lab
Code and docs produced by members of the Gymrek Lab at the University of California, San Diego.

United States of America

@kdpsingh
Karandeep Singh kdpsingh
Chief Health AI Officer at UCSD Health
@TidierOrg
Tidier TidierOrg
Making Julia a Tidier Place for Data Analysis
@UK-Biobank
UK Biobank UK-Biobank
Enabling the vision of global scientists to improve public health through novel scientific discoveries

United Kingdom

@cellgeni
Cellular Genomics Informatics cellgeni
Wellcome Sanger Institute

United Kingdom

@noamteyssier
Noam Teyssier noamteyssier
Bioinformatics at the intersection of systems biology, machine learning, and functional genomics.

Arc Institute San Francisco, California

@zouter
Wouter Saelens zouter
Professor at Ghent University

Lausanne, CH

@skypilot-org
skypilot-org
Run, manage, and scale AI workloads on any AI infrastructure.
@charmbracelet
Charm charmbracelet
We make the command line glamorous.

/dev/tty

@scikit-learn-contrib
scikit-learn-contrib
scikit-learn compatible projects
@pangenome
pangenome
graphical pangenomic methods
@Genentech
Genentech Genentech
Dedicated to pursuing groundbreaking science to discover and develop medicines

South San Francisco, CA

@slowkow
Kamil Slowikowski slowkow
Computational biologist. Using transcriptomics to learn about inflammation and cancer.

Mass General Brigham

@saezlab
Saez Lab saezlab
Julio Saez-Rodriguez's group @ EMBL-EBI and Heidelberg University

Germany

@johanneskoester
Johannes Köster johanneskoester
Professor for Bioinformatics and Computational Oncology

University of Duisburg-Essen Essen, Germany

@jamestwebber
James Webber jamestwebber
Computational Biologist, Python veteran and Rust aficionado.

Columbus, OH, USA

@nanoporetech
Oxford Nanopore Technologies nanoporetech
Direct DNA/RNA analysis for anyone, anywhere.

Oxford, UK

@genome-in-a-bottle
genome-in-a-bottle
A public-private-academic consortium hosted by NIST to develop reference materials and standards for clinical sequencing
@BiocPy
BiocPy
Facilitate Bioconductor Workflows in Python
@GreenGilad
Gilad Green GreenGilad
Computational scientist | PhD Student | Holstege Lab | Amsterdam UMC

Amsterdam UMC

@b2jia
Bojing Jia b2jia
How do we better describe the world around us?

La Jolla, CA

@davetang
Dave Tang davetang
Just a dude trying to learn computational stuff and disseminating said stuff onto the interweb.

davetangdotorg Tokyo

@lh3
Heng Li lh3

DFCI & Harvard University Boston, MA, USA

@scverse
scverse scverse
Foundational tools for omics data in the life sciences
@comprna
Computational RNA Biology group comprna
Computational RNA Biology group

Around the world

@IGVF
Impact of Genomic Variation on Function (IGVF) IGVF
The IGVF Consortium aims to understand how genomic variation affects genome function, which in turn impacts phenotype.

United States of America

@kundajelab
Kundaje Lab kundajelab
Compbio and machine learning code repositories from the Kundaje Lab at Stanford Genetics and Computer Science Depts.

Stanford University