Comprehensive cluster analysis with Transitivity Clustering.

Abstract:

:Transitivity Clustering is a method for the partitioning of biological data into groups of similar objects, such as genes, for instance. It provides integrated access to various functions addressing each step of a typical cluster analysis. To facilitate this, Transitivity Clustering is accessible online and offers three user-friendly interfaces: a powerful stand-alone version, a web interface, and a collection of Cytoscape plug-ins. In this paper, we describe three major workflows: (i) protein (super)family detection with Cytoscape, (ii) protein homology detection with incomplete gold standards and (iii) clustering of gene expression data. This protocol guides the user through the most important features of Transitivity Clustering and takes ∼1 h to complete.

journal_name

Nat Protoc

journal_title

Nature protocols

authors

Wittkop T,Emig D,Truss A,Albrecht M,Böcker S,Baumbach J

doi

10.1038/nprot.2010.197

subject

Has Abstract

pub_date

2011-03-01 00:00:00

pages

285-95

issue

3

eissn

1754-2189

issn

1750-2799

pii

nprot.2010.197

journal_volume

6

pub_type

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