Exploiting single-molecule transcript sequencing for eukaryotic gene prediction

Genome Biology

Volumn 16, Issue 1, 2015, Pages

  Minoche, André E ^a,b,c   Dohm, Juliane C ^a,b,c,d   Schneider, Jessica ^e   Holtgräwe, Daniela ^e   Viehöver, Prisca ^e   Montfort, Magda ^b,c   Rosleff Sörensen, Thomas ^e   Weisshaar, Bernd ^e   Himmelbauer, Heinz ^a,b,c,d  

^a MAX PLANCK INSTITUTE FOR MOLECULAR GENETICS   (Germany)

^b CENTRE FOR GENOMIC REGULATION CRG   (Spain)

^c UNIVERSITAT POMPEU FABRA   (Spain)

^d UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

^e BIELEFELD UNIVERSITY   (Germany)

Author keywords

Caryophyllales; Eukaryotic gene prediction; Genome annotation; mRNA seq; Non model species; Single molecule real time sequencing; Spinach; Sugar beet

Indexed keywords

ACCURACY; ARABIDOPSIS THALIANA; ARTICLE; AUTOMATION; BEET; CONTROLLED STUDY; GENE IDENTIFICATION; GENE INSERTION; GENE SEQUENCE; GENETIC CODE; GENETIC MODEL; NONHUMAN; OPEN READING FRAME; PLANT GENE; PREDICTION; QUALITY CONTROL; SINGLE MOLECULE REAL TIME SEQUENCING; SPINACH; VALIDATION STUDY; CHEMISTRY; GENE EXPRESSION PROFILING; GENETICS; MOLECULAR GENETICS; PROCEDURES; SEQUENCE ANALYSIS;

COMPLEMENTARY DNA;

BETA VULGARIS; DNA, COMPLEMENTARY; GENE EXPRESSION PROFILING; GENES, PLANT; MOLECULAR SEQUENCE DATA; SEQUENCE ANALYSIS, RNA; SPINACIA OLERACEA;

EID: 84940487073     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-015-0729-7     Document Type: Article

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