{"id":10118,"date":"2020-06-29T09:36:52","date_gmt":"2020-06-29T09:36:52","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2020\/2020\/06\/29\/webmcot-web-service-for-prediction-of-co-occurred-dna-motifs-in-chip-seq-data\/"},"modified":"2020-06-29T09:36:52","modified_gmt":"2020-06-29T09:36:52","slug":"webmcot-web-service-for-prediction-of-co-occurred-dna-motifs-in-chip-seq-data","status":"publish","type":"post","link":"https:\/\/bgrssb.icgbio.ru\/2020\/2020\/06\/29\/webmcot-web-service-for-prediction-of-co-occurred-dna-motifs-in-chip-seq-data\/","title":{"rendered":"WebMCOT web-service for prediction of co-occurred DNA motifs in ChIP-seq data"},"content":{"rendered":"<p>Poster (<a href=\"https:\/\/bgrssb.icgbio.ru\/wp-content\/uploads\/2020\/07\/217.pdf\">download<\/a>)<br \/>\n    <br \/><a href=\"https:\/\/bgrssb.icgbio.ru\/wp-content\/uploads\/2020\/07\/217.pdf\" class=\"pdfemb-viewer\" style=\"\" data-width=\"max\" data-height=\"max\"  data-toolbar=\"bottom\" data-toolbar-fixed=\"off\">217<br\/><\/a><br \/>Aleksey Mukhin<sup>1<\/sup>, Victor Levitsky<sup>2<\/sup>, Dmitriy Y. Oschepkov<sup>3<\/sup>, Sergey A. Lashin<sup>4<\/sup><br \/><sup>1<\/sup>Institute Cytology and Genetics SB RAS Novosibirsk, Russia, mukhin@bionet.nsc.ru<br \/><sup>2<\/sup>Institute Cytology and Genetics SB RAS, levitsky@bionet.nsc.ru<br \/><sup>3<\/sup>Institute Cytology and Genetics SB RAS, diman@bionet.nsc.ru<br \/><sup>4<\/sup>Institute Cytology and Genetics SB RAS, lashin@bionet.nsc.ru<\/p>\n<p><span style=\"font-size: small\"><b>Regulation of eukaryotic gene expression is controlled by specific regulatory proteins transcription factors. Binding sites of transcription factors are called motifs. Conventionally, genome-wide annotation of motifs performed with chromatin immunoprecipitation followed by massive sequencing (ChIP-seq) approach. The term composite element (CE) implied two closely located and frequently occurred in genomic DNA motifs. CEs contain two overlapping or spacing motifs. Earlier we proposed Motif Co-Occurrence Tool (MCOT) package that is capable of (a) predicting CEs with both overlapping and spacing of motifs in a single ChIP-seq dataset; (b) all predicted CEs were classified by conservation of both participant motifs. This work presents a web interface WebMCOT for MCOT package<\/b><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Poster (download) Aleksey Mukhin1, Victor Levitsky2, Dmitriy Y. Oschepkov3, Sergey A. Lashin41Institute Cytology and Genetics SB RAS Novosibirsk, Russia, mukhin@bionet.nsc.ru2Institute Cytology and Genetics SB RAS, levitsky@bionet.nsc.ru3Institute Cytology and Genetics SB RAS, diman@bionet.nsc.ru4Institute Cytology and Genetics SB RAS, lashin@bionet.nsc.ru Regulation of eukaryotic gene expression is controlled by specific regulatory proteins transcription factors. Binding sites of transcription factors are called motifs. Conventionally, genome-wide annotation of motifs performed with chromatin immunoprecipitation followed by massive sequencing (ChIP-seq) approach. The term composite element (CE) implied two closely located and frequently occurred in genomic DNA motifs. CEs contain two overlapping or spacing motifs. Earlier we proposed Motif Co-Occurrence Tool (MCOT) package that is capable of (a) predicting CEs with both overlapping and spacing of motifs in a single ChIP-seq dataset; (b) all predicted CEs were classified by conservation of both participant motifs. This work presents a web interface WebMCOT for MCOT package<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2171],"tags":[1591,1590,1589,1588],"_links":{"self":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/posts\/10118"}],"collection":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/comments?post=10118"}],"version-history":[{"count":0,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/posts\/10118\/revisions"}],"wp:attachment":[{"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/media?parent=10118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/categories?post=10118"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2020\/wp-json\/wp\/v2\/tags?post=10118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}