GOSSIP: Biological Profiling of Gene Groups utilizing Gene Ontology

Increasingly used high throughput experimental techniques, like DNA or protein microarrays give as a result groups of interesting, e.g. differentially regulated genes which require further biological interpretation. With the systematic functional annotation provided by the Gene Ontology the information required to automate the interpretation task is now accessible. However, the determination of statistical significance of a biological process within these groups is still an open question. In answering this question, multiple testing issues must be taken into account to avoid misleading results.

The software package GOSSIP implements a robust statistical framework that tests whether functions, processes or locations described in the Gene Ontology are significantly enriched within a group of interesting genes when compared to a reference group.

Download GOSSIP software package for Windows

Papers using GOSSIP

• Szymon M. Kielbasa, Nils Blüthgen, and Hanspeter Herzel:
  Genome-wide Analysis of Functions Regulated by Sets of Transcription Factors In: R. Giegerich, J. Stoye (eds.): German Conference on Bioinformatics - Bonn 2004: Koellen Druck+Verlag, pages 105-113.
• Nils Blüthgen, Szymon M. Kielbasa, and Hanspeter Herzel
  Inferring Combinatorial Regulation of Transcription in silico
  Nucleic Acids Research 33 (2005):272-279. Article
• Bandapalli OR, Geheeb M, Kobelt D, Kühnle K, Elezkurta S, Herrmann J, Gressner AM, Weiskirchen R, Beule D, Blüthgen N, Herzel H, Franke C, Brand K
  Global analysis of host tissue gene expression in the invasive front of colorectal liver metastases
  International Journal of cancer 118 (1) (2006):74-89. Article