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GOSSIP specifications

Information


Unique identifier OMICS_19193
Name GOSSIP
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Windows
Computer skills Advanced
Stability Stable
Registration required Yes

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Publication for GOSSIP

GOSSIP citations

 (24)
call_split

RNA Seq Reveals Enhanced Sugar Metabolism in Streptococcus mutans Co cultured with Candida albicans within Mixed Species Biofilms

2017
Front Microbiol
PMCID: 5462986
PMID: 28642749
DOI: 10.3389/fmicb.2017.01036
call_split See protocol

[…] Relative enrichment (overrepresentation) of GO terms for up-regulated genes compared to a background of GO terms for all genes was assessed using Fisher exact tests. The test was performed using the Gossip statistical package () implemented within Blast2GO. The false discovery rate (FDR) procedure of was used to correct for multiple hypothesis testing (FDR = 0.05).To gain further insights into t […]

call_split

A Colletotrichum graminicola mutant deficient in the establishment of biotrophy reveals early transcriptional events in the maize anthracnose disease interaction

2016
BMC Genomics
PMCID: 4782317
PMID: 26956617
DOI: 10.1186/s12864-016-2546-0
call_split See protocol

[…] Blast2GO suite []. Functional characterization and gene ontology (GO) categories for cellular functions, cellular components, and biological processes, were assigned using the Blast2Go platform. The GOSSIP function was utilized to determine GO term enrichment in different comparisons []. Manual annotation of specific genes was performed by using BLAST searches against the NCBI databases (E value  […]

library_books

Genome Based Phylogeny and Comparative Genomic Analysis of Intra Mammary Pathogenic Escherichia coli

2015
PLoS One
PMCID: 4373696
PMID: 25807497
DOI: 10.1371/journal.pone.0119799

[…] ms were assigned to all genomes using Blast2GO v.2.5.0 []. Relative enrichment (over representation) of GO terms among lineages was assessed using Fisher exact tests. The test was performed using the Gossip statistical package [] implemented within Blast2GO. The false discovery rate (FDR) procedure of Benjamini and Hochberg [] was used to correct for multiple hypothesis testing (FDR = 0.05). […]

call_split

Transcriptomic profiling of linolenic acid responsive genes in ROS signaling from RNA seq data in Arabidopsis

2015
Front Plant Sci
PMCID: 4362301
PMID: 25852698
DOI: 10.3389/fpls.2015.00122
call_split See protocol

[…] ation method. The gene ontology (GO) terms were loaded in the Blast2GO suite V.2.7.2 (Conesa et al., ; Conesa and Götz, ) in order to statistically analyze GO-term enrichment. Blast2GO integrated the Gossip package for statistical assessment of differences in GO-term abundance between two sets of sequences (Blüthgen et al., ). This package uses Fisher's exact test and corrects for multiple testing […]

library_books

The molecular biology of the olive fly comes of age

2014
BMC Genet
PMCID: 4255830
PMID: 25472866
DOI: 10.1186/1471-2156-15-S2-S8

[…] scripts were assembled using Cufflinks and differentially expressed genes were identified using Cuffdiff []. GO-term enrichment between male and female transcriptomes was analyzed using the using the GOSSIP [] application embedded in BLAST2GO. […]

library_books

Early and delayed long term transcriptional changes and short term transient responses during cold acclimation in olive leaves

2014
PMCID: 4379972
PMID: 25324298
DOI: 10.1093/dnares/dsu033

[…] tology (GO) terms retrieved by Sma3s were loaded as an annotation file or .annot in the Blast2GO suite V2.7.0, to carry out the statistical analysis of GO-term enrichment. Blast2GO has integrated the Gossip package for statistical assessment of differences in GO-term abundance between two sets of sequences. This package employs the Fisher's exact test and corrects for multiple testing. We performe […]

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GOSSIP institution(s)
Institute for Theoretical Biology, Humboldt University Berlin, Germany; Pathologisches Institut, Ruprecht-Karls-Universitat Heidelberg, Germany; MicroDiscovery GmbH , Berlin, Germany
GOSSIP funding source(s)
Supported by the Deutsche Forschungsgemeinschaft (SFB 618) and the BMBF grant number 01GR0444.

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