schliessen

Filtern

 

Bibliotheken

Identification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptome

Knowledge of the distribution of N(6)-methyladenosine (m(6)A) is invaluable for understanding RNA biological functions. However, limitation in experimental methods impedes the progress towards the identification of m(6)A site. As a complement of experimental methods, a support vector machine based-m... Full description

Journal Title: Scientific reports 07 September 2015, Vol.5, pp.13859
Main Author: Chen, Wei
Other Authors: Tran, Hong , Liang, Zhiyong , Lin, Hao , Zhang, Liqing
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 2045-2322 ; PMID: 26343792 Version:1 ; DOI: 10.1038/srep13859
Link: http://pubmed.gov/26343792
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: medline26343792
title: Identification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptome
format: Article
creator:
  • Chen, Wei
  • Tran, Hong
  • Liang, Zhiyong
  • Lin, Hao
  • Zhang, Liqing
subjects:
  • Transcriptome
  • Adenosine -- Analogs & Derivatives
  • Saccharomyces Cerevisiae -- Genetics
ispartof: Scientific reports, 07 September 2015, Vol.5, pp.13859
description: Knowledge of the distribution of N(6)-methyladenosine (m(6)A) is invaluable for understanding RNA biological functions. However, limitation in experimental methods impedes the progress towards the identification of m(6)A site. As a complement of experimental methods, a support vector machine based-method is proposed to identify m(6)A sites in Saccharomyces cerevisiae genome. In this model, RNA sequences are encoded by their nucleotide chemical property and accumulated nucleotide frequency information. It is observed in the jackknife test that the accuracy achieved by the proposed model in identifying the m(6)A site was 78.15%. For the convenience of experimental scientists, a web-server for the proposed model is provided at http://lin.uestc.edu.cn/server/m6Apred.php.
language: eng
source:
identifier: E-ISSN: 2045-2322 ; PMID: 26343792 Version:1 ; DOI: 10.1038/srep13859
fulltext: fulltext
issn:
  • 20452322
  • 2045-2322
url: Link


@attributes
ID1641685787
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid26343792
sourceidmedline
recordidTN_medline26343792
sourceformatXML
sourcesystemOther
pqid1710652853
display
typearticle
titleIdentification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptome
creatorChen, Wei ; Tran, Hong ; Liang, Zhiyong ; Lin, Hao ; Zhang, Liqing
ispartofScientific reports, 07 September 2015, Vol.5, pp.13859
identifier
subjectTranscriptome ; Adenosine -- Analogs & Derivatives ; Saccharomyces Cerevisiae -- Genetics
descriptionKnowledge of the distribution of N(6)-methyladenosine (m(6)A) is invaluable for understanding RNA biological functions. However, limitation in experimental methods impedes the progress towards the identification of m(6)A site. As a complement of experimental methods, a support vector machine based-method is proposed to identify m(6)A sites in Saccharomyces cerevisiae genome. In this model, RNA sequences are encoded by their nucleotide chemical property and accumulated nucleotide frequency information. It is observed in the jackknife test that the accuracy achieved by the proposed model in identifying the m(6)A site was 78.15%. For the convenience of experimental scientists, a web-server for the proposed model is provided at http://lin.uestc.edu.cn/server/m6Apred.php.
languageeng
source
version5
lds50peer_reviewed
links
openurl$$Topenurl_article
backlink$$Uhttp://pubmed.gov/26343792$$EView_this_record_in_MEDLINE/PubMed
openurlfulltext$$Topenurlfull_article
addlink$$Uhttp://exlibris-pub.s3.amazonaws.com/aboutMedline.html$$EView_the_MEDLINE/PubMed_Copyright_Statement
search
creatorcontrib
0Chen, Wei
1Tran, Hong
2Liang, Zhiyong
3Lin, Hao
4Zhang, Liqing
titleIdentification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptome
descriptionKnowledge of the distribution of N(6)-methyladenosine (m(6)A) is invaluable for understanding RNA biological functions. However, limitation in experimental methods impedes the progress towards the identification of m(6)A site. As a complement of experimental methods, a support vector machine based-method is proposed to identify m(6)A sites in Saccharomyces cerevisiae genome. In this model, RNA sequences are encoded by their nucleotide chemical property and accumulated nucleotide frequency information. It is observed in the jackknife test that the accuracy achieved by the proposed model in identifying the m(6)A site was 78.15%. For the convenience of experimental scientists, a web-server for the proposed model is provided at http://lin.uestc.edu.cn/server/m6Apred.php.
subject
0Transcriptome
1Adenosine -- Analogs & Derivatives
2Saccharomyces Cerevisiae -- Genetics
general
026343792
1English
2MEDLINE/PubMed (U.S. National Library of Medicine)
310.1038/srep13859
4MEDLINE/PubMed (NLM)
sourceidmedline
recordidmedline26343792
issn
020452322
12045-2322
rsrctypearticle
creationdate2015
addtitleScientific reports
searchscope
0medline
1nlm_medline
2MEDLINE
scope
0medline
1nlm_medline
2MEDLINE
lsr4120150907
citationpf 13859 vol 5
startdate20150907
enddate20150907
lsr30VSR-Enriched:[issue, pqid]
sort
titleIdentification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptome
authorChen, Wei ; Tran, Hong ; Liang, Zhiyong ; Lin, Hao ; Zhang, Liqing
creationdate20150907
lso0120150907
facets
frbrgroupid-4004518412791556020
frbrtype5
newrecords20190701
languageeng
creationdate2015
topic
0Transcriptome
1Adenosine–Analogs & Derivatives
2Saccharomyces Cerevisiae–Genetics
collectionMEDLINE/PubMed (NLM)
prefilterarticles
rsrctypearticles
creatorcontrib
0Chen, Wei
1Tran, Hong
2Liang, Zhiyong
3Lin, Hao
4Zhang, Liqing
jtitleScientific Reports
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
aulast
0Chen
1Tran
2Liang
3Lin
4Zhang
aufirst
0Wei
1Hong
2Zhiyong
3Hao
4Liqing
au
0Chen, Wei
1Tran, Hong
2Liang, Zhiyong
3Lin, Hao
4Zhang, Liqing
atitleIdentification and analysis of the N(6)-methyladenosine in the Saccharomyces cerevisiae transcriptome
jtitleScientific reports
risdate20150907
volume5
spage13859
pages13859
eissn2045-2322
formatjournal
genrearticle
ristypeJOUR
abstractKnowledge of the distribution of N(6)-methyladenosine (m(6)A) is invaluable for understanding RNA biological functions. However, limitation in experimental methods impedes the progress towards the identification of m(6)A site. As a complement of experimental methods, a support vector machine based-method is proposed to identify m(6)A sites in Saccharomyces cerevisiae genome. In this model, RNA sequences are encoded by their nucleotide chemical property and accumulated nucleotide frequency information. It is observed in the jackknife test that the accuracy achieved by the proposed model in identifying the m(6)A site was 78.15%. For the convenience of experimental scientists, a web-server for the proposed model is provided at http://lin.uestc.edu.cn/server/m6Apred.php.
doi10.1038/srep13859
pmid26343792
issue1
oafree_for_read
date2015-09-07