2015
DOI: 10.1002/pmic.201400515
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FunRich: An open access standalone functional enrichment and interaction network analysis tool

Abstract: As high-throughput techniques including proteomics become more accessible to individual laboratories, there is an urgent need for a user-friendly bioinformatics analysis system. Here, we describe FunRich, an open access, standalone functional enrichment and network analysis tool. FunRich is designed to be used by biologists with minimal or no support from computational and database experts. Using FunRich, users can perform functional enrichment analysis on background databases that are integrated from heteroge… Show more

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Cited by 1,111 publications
(885 citation statements)
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“…(a) A Venn diagram showing the common and unique number of proteins of the UBtip cell line and the UBtip cell line-derived exosomes (both protein sets are the common proteins derived from two independent biological replicates). Venn diagrams were generated using FunRich [31]. (b) Analysis of cellular component GO terms.…”
Section: Resultsmentioning
confidence: 99%
“…(a) A Venn diagram showing the common and unique number of proteins of the UBtip cell line and the UBtip cell line-derived exosomes (both protein sets are the common proteins derived from two independent biological replicates). Venn diagrams were generated using FunRich [31]. (b) Analysis of cellular component GO terms.…”
Section: Resultsmentioning
confidence: 99%
“…Protein abundance was determined according to the intensity-based absolute quantification (iBAQ) metric [23]. Gene ontology was investigated with FunRich v3.1.3 using the Gene Ontology Database [24,25]. The peptides identified by mass spectrometry were visualised using Protter [26] with membrane orientations as specified in UniProt annotations [27].…”
Section: Methodsmentioning
confidence: 99%
“…The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE (Vizcaino et al., 2016) partner repository with the dataset identifier PXD006463. GO analysis was performed with FunRich software (2.1.2) (Pathan et al., 2015). The Entrez Gene IDs retrieved from UniProtKB accession numbers were mapped to cellular components (CC), molecular functions (MF), and biological processes (BP) items using default statistical parameters (threshold: count 2, ease 0.1).…”
Section: Methodsmentioning
confidence: 99%