Asymmetric Conservation within Pairs of Co-Occurred Motifs Mediates Weak Direct Binding of Transcription Factors in ChIP-Seq Data

por Levitsky, Victor, Oshchepkov, Dmitry, Zemlyanskaya, Elena, Merkulova, Tatyana
Publicado 2020

A single ChIP-seq dataset is sufficient for comprehensive analysis of motifs co-occurrence with MCOT package

por Levitsky, Victor, Zemlyanskaya, Elena, Oshchepkov, Dmitry, Podkolodnaya, Olga, Ignatieva, Elena, Grosse, Ivo, Mironova, Victoria, Merkulova, Tatyana
Publicado 2019

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions

por Levitsky, Victor G, Ignatieva, Elena V, Ananko, Elena A, Turnaev, Igor I, Merkulova, Tatyana I, Kolchanov, Nikolay A, Hodgman, TC
Publicado 2007

Application of experimentally verified transcription factor binding sites models for computational analysis of ChIP-Seq data

por Levitsky, Victor G, Kulakovskiy, Ivan V, Ershov, Nikita I, Oshchepkov, Dmitry Yu, Makeev, Vsevolod J, Hodgman, T C, Merkulova, Tatyana I
Publicado 2014

Detection of Regulatory SNPs in Human Genome Using ChIP-seq ENCODE Data

por Bryzgalov, Leonid O., Antontseva, Elena V., Matveeva, Marina Yu., Shilov, Alexander G., Kashina, Elena V., Mordvinov, Viatcheslav A., Merkulova, Tatyana I.
Publicado 2013