The goals of the IGVF Data Administrative and Coordinating Center (DACC) are to support the IGVF Consortium by defining and establishing a strategy that connects all participants to the project’s science. By creating avenues of access that distribute these data to the greater biological research community, the DACC provides a critical connection between scientific producers and consumers.

HG012012

A Data and Administrative Coordinating Center for the Impact of Genomic Variation on Function Consortium

j-michael-cherry

Corinn Small

J. Michael Cherry, Stanford

HG012079

Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency

HG012047

Defining causal roles of genomic variants on gene regulatory networks with spatiotemporally-resolved single-cell multiomics

HG012064

Predictive Modeling of the Functional and Phenotypic Impacts of Genetic Variants

HG011972

Stanford Center for Connecting DNA Variants to Function and Phenotype

HG011989

Molecular phenotyping of ~100,000 coding variants across Mendelian disease genes

HG012039

Linking Variants to Multi-scale Phenotypes via a Synthesis of Subnetwork Inference and Deep Learning

HG012059

The impact of genomic variation on environment-induced changes in pancreatic beta-cell states

HG012077

Center for Mouse Genomic Variation at Single Cell Resolution

HG012003

Systematic in vivo characterization of disease-associated regulatory variants

HG011969

The Center for Actionable Variant Analysis; measuring variant function at scale

HG012022

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

HG012076

Single-cell Mapping Center for Human Regulatory Elements and Gene Activity

HG012010

Comprehensive characterization of variants underlying heart and blood diseases with CRISPR base editing

HG011966

Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems

HG011967

Design, prediction, and prioritization of systematic perturbations of the human genome

HG012009

Predicting the impact of genetic variants, genes and pathways on human disease

HG012070

WashU-Northwestern Genomic Variation and Function Data and Administrative Coordinating Center

HG011986

A foundational resource of functional elements, TF footprints and gene regulatory interactions

R00HG012203

New Approaches for leveraging single-cell data to identify disease-critical genes and gene sets

Community

ENCODE

HG012103

Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation

HG011996

Multiscale functional characterization of genomic variation in human developmental disorders

HG012041

Linking genome variation to transcriptional network dynamics in human B cells

HG011952

Predicting the Impact of Genomic Variation on Cellular States

HG012069

Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code

HG012051

Genomic control of gene regulatory networks governing early human lineage decisions

HG012053

High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular Phenotypes

affiliate

IGVF affiliate

general-help

Khine Lin

General Help[nopanel]

maria-chahrour

Maria Chahrour, UT

chongyuan-luo

Chongyuan Luo, UCLA

bradley-bernstein

Bradley Bernstein, Broad

xihong-lin

Xihong Lin, HSPH

kushal-dey

Kushal Dey, MSKCC

sean-mooney

Sean Mooney, UW

maya-kasowski

Maya Kasowski, Stanford

encode

ENCODE Project, NHGRI

anshul-kundaje

Anshul Kundaje, Stanford

marc-vidal

Marc Vidal, DFCI

anne-carpenter

Anne Carpenter, Broad

maureen-sartor

Maureen Sartor, UMich

christina-leslie

Christina Leslie, MSKCC

mikko-taipale

Mikko Taipale, UToronto

david-hill

David Hill, DFCI

joshua-welch

Joshua Welch, UMich

jay-shendure

Jay Shendure, UW

robert-steiner

Robert Steiner, PreventionGenetics

stephen-montgomery

Stephen Montgomery, Stanford

ryan-mills

Ryan Mills, UMich

kyle-gaulton

Kyle Gaulton, UCSD

hao-wu

Hao Wu, UPenn

tim-reddy

Tim Reddy, Duke

ryan-corces

Ryan Corces, Gladstone Institute UCSF

bruce-posner

Bruce Posner, UT

guillaume-bourque

Guillaume Bourque, McGill

shamil-sunyaev

Shamil Sunyaev, Brigham and Women's Hospital

daniel-bauer

Daniel Bauer, HSCI

w-lee-kraus

William Kraus, UT

danwei-huangfu

Danwei Huangfu, MSKCC

charles-gersbach

Charles Gersbach, Duke

alexis-battle

Alexis Battle, JHU

david-page

David Page, Duke

axel-visel

Axel Visel, Lawrence Berkeley

lior-pachter

Lior Pachter, Caltech

barbara-wold

Barbara Wold, Caltech

ali-mortazavi

Ali Mortazavi, UCI

jason-ernst

Jason Ernst, UCLA

hyejung-won

Hyejung Won, UNC

lea-starita

Lea Starita, UW

jimmie-ye

Jimmie Ye, UCSF

community

External Lab, Community

michael-bassik

Michael Bassik, Stanford

alexander-rudensky

Alexander Rudensky, MSKCC

alkes-price

Alkes Price, Harvard

vikas-pejaver

Vikas Pejaver, MSSM

kim-green

Kim Green, UCI

feng-yue

Feng Yue, WashU

judy-cho

Judy Cho, Ichan School of Medicine at Mount Sinai

leif-ludwig

Leif Ludwig, MDC

nhgri

Mike Pazin, NHGRI

thomas-quertermous

Thomas Quertermous, Stanford

harinder-singh

Harinder Singh, University of Pittsburgh

will-greenleaf

Will Greenleaf, Stanford

benhur-lee

Benhur Lee, Mount Sinai

gregory-crawford

Gregory Crawford, Duke

nikhil-munshi

Nikhil Munshi, UT

len-pennacchio

Len Pennacchio, Lawrence Berkeley

raluca-gordan

Raluca Gordan, Duke

jill-moore

Jill Moore, UMass

richard-sherwood

Richard Sherwood, Brigham and Women's Hospital

anna-katerina-hadjantonakis

Anna-Katerina Hadjantonakis, MSKCC

jesse-engreitz

Jesse Engreitz, Stanford

luca-pinello

Luca Pinello, MGH

michael-beer

Michael Beer, JHU

hannah-carter

Hannah Carter, UCSD

jun-wu

Jun Wu, UT

michael-love

Michael Love, UNC