ProSampler: an ultrafast and accurate motif finder in large ChIP-seq datasets for combinatory motif discovery | Zendy

Yang Li | Zendy; Pengyu Ni | Zendy; Shaoqiang Zhang | Zendy; Guojun Li | Zendy; Zhengchang Su | Zendy

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ProSampler: an ultrafast and accurate motif finder in large ChIP-seq datasets for combinatory motif discovery

Author(s) -

Yang Li,

Pengyu Ni,

Shaoqiang Zhang,

Guojun Li,

Zhengchang Su

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz290

Subject(s) - computer science , motif (music) , source code , genome , computational biology , sequence motif , software , data mining , biology , genetics , programming language , gene , physics , acoustics

The availability of numerous ChIP-seq datasets for transcription factors (TF) has provided an unprecedented opportunity to identify all TF binding sites in genomes. However, the progress has been hindered by the lack of a highly efficient and accurate tool to find not only the target motifs, but also cooperative motifs in very big datasets.

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