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Elucidating drug modes of action through transcription factor binding profiling / 転写因子結合プロファイリングによる薬剤作用機序の解析

付記する学位プログラム名: 京都大学卓越大学院プログラム「メディカルイノベーション大学院プログラム」 / 京都大学 / 新制・課程博士 / 博士(医科学) / 甲第24534号 / 医科博第148号 / 新制||医科||10(附属図書館) / 京都大学大学院医学研究科医科学専攻 / (主査)教授 寺田 智祐, 教授 川上 浩司, 教授 YOUSSEFIAN Shohab / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Identiferoai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/283653
Date23 March 2023
CreatorsZou, Zhaonan
Contributors鄒, 兆南, スウ, チョウナン
PublisherKyoto University, 京都大学
Source SetsKyoto University
LanguageEnglish
Detected LanguageEnglish
Typedoctoral thesis, Thesis or Dissertation
Rights主論文1. Zou, Z., Iwata, M., Yamanishi, Y. et al. Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses. BMC Bioinformatics 23, 51 (2022). DOI: 10.1186/s12859-022-04571-8 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. 主論文2. Zhaonan Zou, Tazro Ohta, Fumihito Miura, Shinya Oki, ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data, Nucleic Acids Research, Volume 50, Issue W1, 5 July 2022, Pages W175–W182 DOI: 10.1093/nar/gkac199 © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Relationhttps://doi.org/10.1016/j.jep.2015.10.020

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