Abstract | ||
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Motivation: Data on bioactivities of drug-like chemicals are rapidly accumulating in public repositories, creating new opportunities for research in computational systems pharmacology. However, integrative analysis of these data sets is difficult due to prevailing ambiguity between chemical names and identifiers and a lack of cross-references between databases. Results: To address this challenge, we have developed CART, a Chemical Annotation Retrieval Toolkit. As a key functionality, it matches an input list of chemical names into a comprehensive reference space to assign unambiguous chemical identifiers. In this unified space, bioactivity annotations can be easily retrieved from databases covering a wide variety of chemical effects on biological systems. Subsequently, CART can determine annotations enriched in the input set of chemicals and display these in tabular format and interactive network visualizations, thereby facilitating integrative analysis of chemical bioactivity data. |
Year | DOI | Venue |
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2016 | 10.1093/bioinformatics/btw233 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Data set,Annotation,Identifier,Information retrieval,Chemical nomenclature,Cart,Source code,Computer science,Bioinformatics,Web service,Ambiguity | Journal | 32 |
Issue | ISSN | Citations |
18 | 1367-4803 | 2 |
PageRank | References | Authors |
0.39 | 8 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Samy Deghou | 1 | 2 | 0.39 |
Georg Zeller | 2 | 121 | 7.11 |
Murat Iskar | 3 | 80 | 4.95 |
Marja Driessen | 4 | 9 | 0.90 |
Mercedes Castillo | 5 | 2 | 0.39 |
Vera van Noort | 6 | 115 | 7.74 |
Peer Bork | 7 | 4451 | 694.12 |