LSTrAP: efficiently combining RNA sequencing data into co-expression networks

LSTrAP: efficiently combining RNA sequencing data into co-expression networks

Abstract Background Since experimental elucidation of gene function is often laborious, various in silico methods have been developed to predict gene function of uncharacterized genes. Since functionally related genes are often expressed in the same tissues, conditions and developmental stages (co-e...

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Bibliographic Details
Main Authors: Sebastian Proost, Agnieszka Krawczyk, Marek Mutwil
Format: Article
Language:English
Published: BMC 2017-10-01
Series:BMC Bioinformatics
Subjects:
Transcriptomics
Co-expression
RNA-Seq analysis
Large-scale biology
Network analysis
Gene function prediction
Online Access:http://link.springer.com/article/10.1186/s12859-017-1861-z

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http://link.springer.com/article/10.1186/s12859-017-1861-z

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