DocumentCode :
2764703
Title :
RNA-Seq based discovery and reconstruction of unannotated transcripts in partially annotated genomes
Author :
Mangul, Serghei ; Caciula, Adrian ; Mandoiu, Ion ; Zelikovsky, Alex
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
fYear :
2011
fDate :
12-15 Nov. 2011
Firstpage :
118
Lastpage :
123
Abstract :
We describe the problem of transcriptome reconstruction in partially annotated genomes from RNA-Seq that involves unannotated transcripts discovery and reconstruction in the context of incomplete annotation. In this paper we present an annotation-guided transcriptome reconstruction method and compare it with existing annotation-guided and genome-guided assemblers. Our Detection and Reconstruction of Unannotated Transcripts (DRUT) method is used to enhance existing transcriptome assemblers. Our method enables accurate detections of reads from unannotated transcripts and applying transcriptome assembler on subset of reads improve reconstruction quality. Empirical analyses on synthetic datasets show that enhancement of existing transcriptome assemblers with DRUT can increase number of assembled transcripts from RNA-Seq data.
Keywords :
RNA; genomics; molecular biophysics; RNA-seq based discovery; RNA-seq based reconstruction; annotated genomes; annotation-guided transcriptome reconstruction; empirical analysis; genome-guided assemblers; synthetic datasets; unannotated transcripts; Bioinformatics; Conferences; Educational institutions; Frequency estimation; Genomics; Maximum likelihood estimation; Sensitivity; RNA-Seq; alternative splicing; expectation maximization; transcriptome reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
Type :
conf
DOI :
10.1109/BIBMW.2011.6112363
Filename :
6112363
Link To Document :
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