The evaluation of transcription factor binding site prediction tools in human and Arabidopsis genomes.

ABSTRACT:

Background

The precise prediction of transcription factor binding sites (TFBSs) is pivotal for unraveling the gene regulatory networks underlying biological processes. While numerous tools have emerged for in silico TFBS prediction in recent years, the evolving landscape of computational biology necessitates thorough assessments of tool performance to ensure accuracy and reliability. Only a limited number of studies have been conducted to evaluate the performance of TFBS prediction tools comprehensively. Thus, the present study focused on assessing twelve widely used TFBS prediction tools and four de novo motif discovery tools using a benchmark dataset comprising real, generic, Markov, and negative sequences. TFBSs of Arabidopsis thaliana and Homo sapiens genomes downloaded from th

SUBMITTER: Wanniarachchi DV 

PROVIDER: S-EPMC11613939 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature