MotifGenie: A Python Application for Searching Transcription Factor Binding Sequences Using ChIP-Seq Datasets.

Oguztuzun C., Yasar P., Yavuz K., Muyan M., Can T.

Bioinformatics (Oxford, England), cilt.37, ss.4238-4239, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1093/bioinformatics/btab379
  • Dergi Adı: Bioinformatics (Oxford, England)
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.4238-4239
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Motivation: Next generation sequencing enabled the fast accumulation of genomic data at public repositories. This technology also made it possible to better understand the regulation of gene expression by transcription factors (TFs) and various chromatin-associated proteins through the integration of chromatin immunoprecipitation (ChIP-Seq). The Cistrome Project has become one of the indispensable research portals for biologists to access and analyze data generated with thousands of ChIP-Seq experiments. Integrative motif analysis on shared binding regions among a set of experiments is not yet achievable despite a set of search and analysis tools provided by Cistrome via its web interface and the Galaxy framework.