Evolutionary analysis across mammals reveals distinct classes of long non-coding RNAs

Genome Biology

Volumn 17, Issue 1, 2016, Pages

  Chen, Jenny ^a,b   Shishkin, Alexander A ^c   Zhu, Xiaopeng ^d   Kadri, Sabah ^a   Maza, Itay ^e   Guttman, Mitchell ^c   Hanna, Jacob H ^e   Regev, Aviv ^a,f   Garber, Manuel ^d  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^d UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^e WEIZMANN INSTITUTE OF SCIENCE   (Israel)

^f HOWARD HUGHES MEDICAL INSTITUTE   (United States)

Author keywords

Annotation; Comparative genomics; Evolution; LincRNA; Long non coding RNAs; Molecular evolution; RNA seq; Transcriptome

Indexed keywords

LONG UNTRANSLATED RNA; TRANSCRIPTOME;

ANIMAL CELL; ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; INTERMETHOD COMPARISON; MOLECULAR EVOLUTION; MOUSE; NONHUMAN; PURIFYING SELECTION; RAT; RNA ANALYSIS; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; ANIMAL; CLASSIFICATION; GENETICS; MAMMAL; MOLECULAR GENETICS; PROCEDURES; SEQUENCE ALIGNMENT; SOFTWARE;

ANIMALS; EVOLUTION, MOLECULAR; MAMMALS; MOLECULAR SEQUENCE ANNOTATION; RNA, LONG NONCODING; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, RNA; SOFTWARE; TRANSCRIPTOME;

EID: 84956638042     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-016-0880-9     Document Type: Article

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