Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data

Majed A. Alzahrani, Hiroyuki Kuwahara, Wei Wang, Xin Gao

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Growth phenotype profiling of genome-wide genedeletion strains over stress conditions can offer a clear picture that the essentiality of genes depends on environmental conditions. Systematically identifying groups of genes from such high-throughput data that share similar patterns of conditional essentiality and dispensability under various environmental conditions can elucidate how genetic interactions of the growth phenotype are regulated in response to the environment.We first demonstrate that detecting such\co-fit
Original languageEnglish (US)
Pages (from-to)2523-2531
Number of pages9
JournalBioinformatics
Volume33
Issue number16
DOIs
StatePublished - Apr 4 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data'. Together they form a unique fingerprint.

Cite this