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abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis.

Omer AliAmna FarooqMingyi YangVictor X JinMagnar BjøråsJunbai Wang
Published in: BMC bioinformatics (2022)
This work demonstrates applications of abc4pwm in the DNA sequence analysis for various high throughput sequencing data using ~ 1770 human TF PWMs. It recovered known TF motifs at gene promoters based on gene expression profiles (RNA-seq) and identified true TF binding targets for motifs predicted from ChIP-seq experiments. Abc4pwm is a useful tool for TF motif searching, clustering, quality assessment and integration in multiple types of sequence data analysis including RNA-seq, ChIP-seq and ATAC-seq.
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