MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.
MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.
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MNDR v2.0:哺乳动物 ncRNA 疾病关联的更新资源
DOI:
10.1093/nar/gkx1025
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发表时间:
2018-01-04
影响因子:
14.9
通讯作者:
Wang D
中科院分区:
文献类型:
--
作者:
Cui T;Zhang L;Huang Y;Yi Y;Tan P;Zhao Y;Hu Y;Xu L;Li E;Wang D
Accumulating evidence suggests that diverse non-coding RNAs (ncRNAs) are involved in the progression of a wide variety of diseases. In recent years, abundant ncRNA–disease associations have been found and predicted according to experiments and prediction algorithms. Diverse ncRNA–disease associations are scattered over many resources and mammals, whereas a global view of diverse ncRNA–disease associations is not available for any mammals. Hence, we have updated the MNDR v2.0 database (www.rna-society.org/mndr/) by integrating experimental and prediction associations from manual literature curation and other resources under one common framework. The new developments in MNDR v2.0 include (i) an over 220-fold increase in ncRNA–disease associations enhancement compared with the previous version (including lncRNA, miRNA, piRNA, snoRNA and more than 1400 diseases); (ii) integrating experimental and prediction evidence from 14 resources and prediction algorithms for each ncRNA–disease association; (iii) mapping disease names to the Disease Ontology and Medical Subject Headings (MeSH); (iv) providing a confidence score for each ncRNA–disease association and (v) an increase of species coverage to six mammals. Finally, MNDR v2.0 intends to provide the scientific community with a resource for efficient browsing and extraction of the associations between diverse ncRNAs and diseases, including >260 000 ncRNA–disease associations.
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影响因子:
64.5
作者:
Cooper TA;Wan L;Dreyfuss G
通讯作者:
Dreyfuss G
影响因子:
13.6
作者:
Coffre M;Koralov SB
通讯作者:
Koralov SB
影响因子:
14.9
作者:
Wang J;Cao Y;Zhang H;Wang T;Tian Q;Lu X;Lu X;Kong X;Liu Z;Wang N;Zhang S;Ma H;Ning S;Wang L
通讯作者:
Wang L
影响因子:
16.6
作者:
Schwarzer A;Emmrich S;Schmidt F;Beck D;Ng M;Reimer C;Adams FF;Grasedieck S;Witte D;Käbler S;Wong JWH;Shah A;Huang Y;Jammal R;Maroz A;Jongen-Lavrencic M;Schambach A;Kuchenbauer F;Pimanda JE;Reinhardt D;Heckl D;Klusmann JH
通讯作者:
Klusmann JH
DOI:
10.1093/bioinformatics/btr223
发表时间:
2011-07-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Bhattacharya S;Ha-Thuc V;Srinivasan P
通讯作者:
Srinivasan P