MethSMRT: an integrative database for DNA N6-methyladenine and N4-methylcytosine generated by single-molecular real-time sequencing.
MethSMRT: an integrative database for DNA N6-methyladenine and N4-methylcytosine generated by single-molecular real-time sequencing.
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MethSMRT:单分子实时测序生成的 DNA N6-甲基腺嘌呤和 N4-甲基胞嘧啶的综合数据库
DOI:
10.1093/nar/gkw950
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发表时间:
2017-01-04
影响因子:
14.9
通讯作者:
Xie Z
中科院分区:
文献类型:
--
作者:
Ye P;Luan Y;Chen K;Liu Y;Xiao C;Xie Z
DNA methylation is an important type of epigenetic modifications, where 5- methylcytosine (5mC), 6-methyadenine (6mA) and 4-methylcytosine (4mC) are the most common types. Previous efforts have been largely focused on 5mC, providing invaluable insights into epigenetic regulation through DNA methylation. Recently developed single-molecule real-time (SMRT) sequencing technology provides a unique opportunity to detect the less studied DNA 6mA and 4mC modifications at single-nucleotide resolution. With a rapidly increased amount of SMRT sequencing data generated, there is an emerging demand to systematically explore DNA 6mA and 4mC modifications from these data sets. MethSMRT is the first resource hosting DNA 6mA and 4mC methylomes. All the data sets were processed using the same analysis pipeline with the same quality control. The current version of the database provides a platform to store, browse, search and download epigenome-wide methylation profiles of 156 species, including seven eukaryotes such as Arabidopsis, C. elegans, Drosophila, mouse and yeast, as well as 149 prokaryotes. It also offers a genome browser to visualize the methylation sites and related information such as single nucleotide polymorphisms (SNP) and genomic annotation. Furthermore, the database provides a quick summary of statistics of methylome of 6mA and 4mC and predicted methylation motifs for each species. MethSMRT is publicly available at http://sysbio.sysu.edu.cn/methsmrt/ without use restriction.
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DOI:
10.1093/bioinformatics/btq033
发表时间:
2010-03-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Quinlan AR;Hall IM
通讯作者:
Hall IM
影响因子:
12.3
作者:
Buels R;Yao E;Diesh CM;Hayes RD;Munoz-Torres M;Helt G;Goodstein DM;Elsik CG;Lewis SE;Stein L;Holmes IH
通讯作者:
Holmes IH
影响因子:
64.5
作者:
Fu Y;Luo GZ;Chen K;Deng X;Yu M;Han D;Hao Z;Liu J;Lu X;Dore LC;Weng X;Ji Q;Mets L;He C
通讯作者:
He C
影响因子:
48
作者:
Flusberg, Benjamin A.;Webster, Dale R.;Lee, Jessica H.;Travers, Kevin J.;Olivares, Eric C.;Clark, Tyson A.;Korlach, Jonas;Turner, Stephen W.
通讯作者:
Turner, Stephen W.
影响因子:
14.9
作者:
Ongenaert M;Van Neste L;De Meyer T;Menschaert G;Bekaert S;Van Criekinge W
通讯作者:
Van Criekinge W