The ENCODE Portal as an Epigenomics Resource.


Journal

Current protocols in bioinformatics
ISSN: 1934-340X
Titre abrégé: Curr Protoc Bioinformatics
Pays: United States
ID NLM: 101157830

Informations de publication

Date de publication:
12 2019
Historique:
entrez: 22 11 2019
pubmed: 22 11 2019
medline: 11 6 2020
Statut: ppublish

Résumé

The Encyclopedia of DNA Elements (ENCODE) web portal hosts genomic data generated by the ENCODE Consortium, Genomics of Gene Regulation, The NIH Roadmap Epigenomics Consortium, and the modENCODE and modERN projects. The goal of the ENCODE project is to build a comprehensive map of the functional elements of the human and mouse genomes. Currently, the portal database stores over 500 TB of raw and processed data from over 15,000 experiments spanning assays that measure gene expression, DNA accessibility, DNA and RNA binding, DNA methylation, and 3D chromatin structure across numerous cell lines, tissue types, and differentiation states with selected genetic and molecular perturbations. The ENCODE portal provides unrestricted access to the aforementioned data and relevant metadata as a service to the scientific community. The metadata model captures the details of the experiments, raw and processed data files, and processing pipelines in human and machine-readable form and enables the user to search for specific data either using a web browser or programmatically via REST API. Furthermore, ENCODE data can be freely visualized or downloaded for additional analyses. © 2019 The Authors. Basic Protocol: Query the portal Support Protocol 1: Batch downloading Support Protocol 2: Using the cart to download files Support Protocol 3: Visualize data Alternate Protocol: Query building and programmatic access.

Identifiants

pubmed: 31751002
doi: 10.1002/cpbi.89
pmc: PMC7307447
mid: NIHMS1058769
doi:

Substances chimiques

Chromatin 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e89

Subventions

Organisme : NHGRI NIH HHS
ID : U24 HG009397
Pays : United States

Informations de copyright

© 2019 The Authors.

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Auteurs

Jennifer Jou (J)

Department of Genetics, Stanford University, Stanford, California.

Idan Gabdank (I)

Department of Genetics, Stanford University, Stanford, California.

Yunhai Luo (Y)

Department of Genetics, Stanford University, Stanford, California.

Khine Lin (K)

Department of Genetics, Stanford University, Stanford, California.

Paul Sud (P)

Department of Genetics, Stanford University, Stanford, California.

Zachary Myers (Z)

Department of Genetics, Stanford University, Stanford, California.

Jason A Hilton (JA)

Department of Genetics, Stanford University, Stanford, California.

Meenakshi S Kagda (MS)

Department of Genetics, Stanford University, Stanford, California.

Bonita Lam (B)

Department of Genetics, Stanford University, Stanford, California.

Emma O'Neill (E)

Department of Genetics, Stanford University, Stanford, California.

Philip Adenekan (P)

Department of Genetics, Stanford University, Stanford, California.

Keenan Graham (K)

Department of Genetics, Stanford University, Stanford, California.

Ulugbek K Baymuradov (UK)

Department of Genetics, Stanford University, Stanford, California.

Stuart R Miyasato (S)

Department of Genetics, Stanford University, Stanford, California.

J Seth Strattan (JS)

Department of Genetics, Stanford University, Stanford, California.

Otto Jolanki (O)

Department of Genetics, Stanford University, Stanford, California.

Jin-Wook Lee (JW)

Department of Genetics, Stanford University, Stanford, California.

Casey Litton (C)

Department of Genetics, Stanford University, Stanford, California.

Forrest Y Tanaka (F)

Department of Genetics, Stanford University, Stanford, California.

Benjamin C Hitz (BC)

Department of Genetics, Stanford University, Stanford, California.

J Michael Cherry (JM)

Department of Genetics, Stanford University, Stanford, California.

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Classifications MeSH