DDGni: Dynamic delay gene-network inference from high-temporal data using gapped local alignment
Author(s) -
Hari Krishna Yalamanchili,
Bin Yan,
Mulin Jun Li,
Jing Qin,
Zhongying Zhao,
Francis Y. L. Chin,
Junwen Wang
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt692
Subject(s) - inference , gene regulatory network , computer science , temporal database , algorithm , data mining , gene , computational biology , biology , artificial intelligence , gene expression , genetics
Inferring gene-regulatory networks is very crucial in decoding various complex mechanisms in biological systems. Synthesis of a fully functional transcriptional factor/protein from DNA involves series of reactions, leading to a delay in gene regulation. The complexity increases with the dynamic delay induced by other small molecules involved in gene regulation, and noisy cellular environment. The dynamic delay in gene regulation is quite evident in high-temporal live cell lineage-imaging data. Although a number of gene-network-inference methods are proposed, most of them ignore the associated dynamic time delay.
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