Comparative analysis of the transcriptome across distant species

被引:0
作者
Mark B. Gerstein
Joel Rozowsky
Koon-Kiu Yan
Daifeng Wang
Chao Cheng
James B. Brown
Carrie A. Davis
LaDeana Hillier
Cristina Sisu
Jingyi Jessica Li
Baikang Pei
Arif O. Harmanci
Michael O. Duff
Sarah Djebali
Roger P. Alexander
Burak H. Alver
Raymond Auerbach
Kimberly Bell
Peter J. Bickel
Max E. Boeck
Nathan P. Boley
Benjamin W. Booth
Lucy Cherbas
Peter Cherbas
Chao Di
Alex Dobin
Jorg Drenkow
Brent Ewing
Gang Fang
Megan Fastuca
Elise A. Feingold
Adam Frankish
Guanjun Gao
Peter J. Good
Roderic Guigó
Ann Hammonds
Jen Harrow
Roger A. Hoskins
Cédric Howald
Long Hu
Haiyan Huang
Tim J. P. Hubbard
Chau Huynh
Sonali Jha
Dionna Kasper
Masaomi Kato
Thomas C. Kaufman
Robert R. Kitchen
Erik Ladewig
Julien Lagarde
机构
[1] Program in Computational Biology and Bioinformatics,Department of Molecular Biophysics and Biochemistry
[2] Yale University,Department of Computer Science
[3] Bass 432,Department of Genetics
[4] 266 Whitney Avenue,Department of Genome Dynamics
[5] New Haven,Department of Statistics
[6] Connecticut 06520,Department of Genome Sciences and University of Washington School of Medicine
[7] USA,Department of Statistics
[8] Yale University,Department of Human Genetics
[9] Bass 432,Department of Genetics and Developmental Biology
[10] 266 Whitney Avenue,Department of Biostatistics
[11] New Haven,Department of Biology
[12] Connecticut 06520,Department of Genetics
[13] USA,Department of Molecular
[14] Yale University,Department of Biological Sciences
[15] 51 Prospect Street,Department of Cell and Developmental Biology
[16] New Haven,Department of Genetics and Drosophila RNAi Screening Center
[17] Connecticut 06511,Department of Molecular and Cell Biology
[18] USA,Department of Plant and Microbial Biology
[19] Geisel School of Medicine at Dartmouth,undefined
[20] Institute for Quantitative Biomedical Sciences,undefined
[21] Norris Cotton Cancer Center,undefined
[22] Geisel School of Medicine at Dartmouth,undefined
[23] Lawrence Berkeley National Laboratory,undefined
[24] University of California,undefined
[25] Berkeley,undefined
[26] 367 Evans Hall,undefined
[27] Berkeley,undefined
[28] California 94720-3860,undefined
[29] USA,undefined
[30] Functional Genomics,undefined
[31] Cold Spring Harbor Laboratory,undefined
[32] William H. Foege Building S350D,undefined
[33] 1705 Northeast Pacific Street,undefined
[34] Box 355065 Seattle,undefined
[35] Washington 98195-5065,undefined
[36] USA,undefined
[37] University of California,undefined
[38] University of California,undefined
[39] Institute for Systems Genomics,undefined
[40] University of Connecticut Health Center,undefined
[41] 400 Farmington Avenue,undefined
[42] Farmington,undefined
[43] Connecticut 06030,undefined
[44] USA,undefined
[45] Centre for Genomic Regulation,undefined
[46] Doctor Aiguader 88,undefined
[47] 08003 Barcelona,undefined
[48] Catalonia,undefined
[49] Spain,undefined
[50] Departament de Ciències Experimentals i de la Salut,undefined
来源
Nature | 2014年 / 512卷
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摘要
Uniform processing and detailed annotation of human, worm and fly RNA-sequencing data reveal ancient, conserved features of the transcriptome, shared co-expression modules (many enriched in developmental genes), matched expression patterns across development and similar extent of non-canonical, non-coding transcription; furthermore, the data are used to create a single, universal model to predict gene-expression levels for all three organisms from chromatin features at the promoter.
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页码:445 / 448
页数:3
相关论文
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