BiNChE: a web tool and library for chemical enrichment analysis based on the ChEBI ontology.
BiNChE: a web tool and library for chemical enrichment analysis based on the ChEBI ontology.
复制标题
DOI:
10.1186/s12859-015-0486-3
复制
发表时间:
2015-02-21
影响因子:
3
通讯作者:
Steinbeck C
中科院分区:
文献类型:
--
作者:
Moreno P;Beisken S;Harsha B;Muthukrishnan V;Tudose I;Dekker A;Dornfeldt S;Taruttis F;Grosse I;Hastings J;Neumann S;Steinbeck C
Ontology-based enrichment analysis aids in the interpretation and understanding of large-scale biological data. Ontologies are hierarchies of biologically relevant groupings. Using ontology annotations, which link ontology classes to biological entities, enrichment analysis methods assess whether there is a significant over or under representation of entities for ontology classes. While many tools exist that run enrichment analysis for protein sets annotated with the Gene Ontology, there are only a few that can be used for small molecules enrichment analysis. We describe BiNChE, an enrichment analysis tool for small molecules based on the ChEBI Ontology. BiNChE displays an interactive graph that can be exported as a high-resolution image or in network formats. The tool provides plain, weighted and fragment analysis based on either the ChEBI Role Ontology or the ChEBI Structural Ontology. BiNChE aids in the exploration of large sets of small molecules produced within Metabolomics or other Systems Biology research contexts. The open-source tool provides easy and highly interactive web access to enrichment analysis with the ChEBI ontology tool and is additionally available as a standalone library. The online version of this article (doi:10.1186/s12859-015-0486-3) contains supplementary material, which is available to authorized users.
登录
查看更多内容
影响因子:
14.9
作者:
Haug K;Salek RM;Conesa P;Hastings J;de Matos P;Rijnbeek M;Mahendraker T;Williams M;Neumann S;Rocca-Serra P;Maguire E;González-Beltrán A;Sansone SA;Griffin JL;Steinbeck C
通讯作者:
Steinbeck C
影响因子:
14.9
作者:
Hastings J;de Matos P;Dekker A;Ennis M;Harsha B;Kale N;Muthukrishnan V;Owen G;Turner S;Williams M;Steinbeck C
通讯作者:
Steinbeck C
影响因子:
3
作者:
Wolf S;Schmidt S;Müller-Hannemann M;Neumann S
通讯作者:
Neumann S
影响因子:
8.6
作者:
Chambers J;Davies M;Gaulton A;Hersey A;Velankar S;Petryszak R;Hastings J;Bellis L;McGlinchey S;Overington JP
通讯作者:
Overington JP
影响因子:
14.9
作者:
Huang, Da Wei;Sherman, Brad T.;Lempicki, Richard A.
通讯作者:
Lempicki, Richard A.