@inproceedings{3e89e2c1ff3843bd8368c01c08f61c1d,
title = "Meta-analysis of ChIP-seq Datasets through the Rank Aggregation Approach",
abstract = "Understanding the basic mechanisms of transcription regulation is a major challenge in modern biology. Regulation of transcription is a complex process in which transcription factors (TFs) play a key role. Chromatin immunoprecipitation followed by high throughput sequencing is a widely and intensively used experimental technology for the identification of TF binding sites (TFBSs). Nowadays, there are tens or hundreds of ChIP-seq datasets measured for the same transcription factor. Meta-processing of such datasets into an integrated dataset is relevant. We have developed a novel method for creating these integrated datasets of TFBSs. This method consists of a three-stage application of the Rank Aggregation approach. The identified TFBSs can be sorted to further select the most reliable TFBSs. We have found a high saturation of site motifs in the most reliable TFBSs. We have also demonstrated that the most reliable TFBSs prefer to be located in open chromatin regions.",
keywords = "ChIP-seq, GTRD database, Meta-analysis, normal mixture, rank aggregation approach, transcription factor binding sites",
author = "Kolmykov, {Semyon K.} and Kondrakhin, {Yury V.} and Sharipov, {Ruslan N.} and Yevshi, {Ivan S.} and Ryabova, {Anna S.} and Kolpakov, {Fedor A.}",
note = "Funding Information: ACKNOWLEDGMENT This study was supported by the Russian Science Foundation, grant № 19-14-00295. Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 ; Conference date: 06-07-2020 Through 10-07-2020",
year = "2020",
month = jul,
doi = "10.1109/CSGB51356.2020.9214614",
language = "English",
series = "Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "180--184",
booktitle = "Proceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020",
address = "United States",
}