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GENCODE 2021

delete2020-12-03
delete647
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OA
AI
A
Adam Frankish
M
Mark Diekhans
I
Irwin Jungreis
J
Julien Lagarde
J
Jane Loveland
J
Jonathan M. Mudge
C
Cristina Sisu
J
James C. Wright
J
Joel Armstrong
I
If Barnes
A
Andrew Berry
A
Alexandra Bignell
C
Carles A. Boix
S
Sílvia Carbonell Sala
F
Fiona Cunningham
T
Tomás Di Domenico
S
Sarah Donaldson
I
Ian T. Fiddes
C
Carlos García Girón
J
José M. González
T
Tiago Grego
M
Matthew P. Hardy
T
Thibaut Hourlier
K
Kevin Howe
T
Toby Hunt
O
Osagie Izuogu
R
Rory Johnson
F
Fergal J. Martin
L
Laura Martínez Gómez
S
Shamika Mohanan
P
Paul Muir
F
Fábio C. P. Navarro
A
Anne Parker
B
Baikang Pei
F
Fernando Campo del Pozo
F
Ferriol Calvet
M
Magali Ruffier
B
Bianca M. Schmitt
E
Eloise Stapleton
M
Marie‐Marthe Suner
I
Irina Sycheva
B
Barbara Uszczyńska-Ratajczak
M
Maxim Y. Wolf
X
Xu, Jinuri
Y
Yucheng Yang
A
Andrew Yates
D
Daniel R. Zerbino
Y
Yan Zhang
J
Jyoti S. Choudhary
M
Mark Gerstein
R
Roderic Guigó
T
Tim Hubbard
M
Manolis Kellis
B
Benedict Paten
M
Michael L. Tress
P
Paul Flicek *
DOI:10.1093/nar/gkaa1087delete
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Abstract

Abstract

En 中文
The GENCODE project annotates human and mouse genes and transcripts supported by experimental data with high accuracy, providing a foundational resource that supports genome biology and clinical genomics. GENCODE annotation processes make use of primary data and bioinformatic tools and analysis generated both within the consortium and externally to support the creation of transcript structures and the determination of their function. Here, we present improvements to our annotation infrastructure, bioinformatics tools, and analysis, and the advances they support in the annotation of the human and mouse genomes including: the completion of first pass manual annotation for the mouse reference genome; targeted improvements to the annotation of genes associated with SARS-CoV-2 infection; collaborative projects to achieve convergence across reference annotation databases for the annotation of human and mouse protein-coding genes; and the first GENCODE manually supervised automated annotation of lncRNAs.
Keywords:
LONG NONCODING RNAS
ANNOTATION
DATABASE
ATLAS
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

Organization

B
barcelona institute of science & technology
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U
university of california santa cruz
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Citations: 10.0W
University of California System cover
University of California System
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E
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U
university of london
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Royal Marsden NHS Foundation Trust cover
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C
centre de regulacio genomica (crg)
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