Open AccessLeveraging multiple transcriptome assembly methods for improved gene structure annotation
Author(s) -
Luca Venturini,
Shabhonam Caim,
Gemy Kaithakottil,
Daniel Mapleson,
David Swarbreck
Publication year - 2018
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giy093
Subject(s) - computer science , annotation , rna seq , gene annotation , transcriptome , computational biology , data mining , gene , artificial intelligence , genome , biology , genetics , gene expression
The performance of RNA sequencing (RNA-seq) aligners and assemblers varies greatly across different organisms and experiments, and often the optimal approach is not known beforehand.
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