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OrthoClust: an orthology-based network framework for clustering data across multiple species.


ABSTRACT: Increasingly, high-dimensional genomics data are becoming available for many organisms.Here, we develop OrthoClust for simultaneously clustering data across multiple species. OrthoClust is a computational framework that integrates the co-association networks of individual species by utilizing the orthology relationships of genes between species. It outputs optimized modules that are fundamentally cross-species, which can either be conserved or species-specific. We demonstrate the application of OrthoClust using the RNA-Seq expression profiles of Caenorhabditis elegans and Drosophila melanogaster from the modENCODE consortium. A potential application of cross-species modules is to infer putative analogous functions of uncharacterized elements like non-coding RNAs based on guilt-by-association.

SUBMITTER: Yan KK 

PROVIDER: S-EPMC4289247 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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OrthoClust: an orthology-based network framework for clustering data across multiple species.

Yan Koon-Kiu KK   Wang Daifeng D   Rozowsky Joel J   Zheng Henry H   Cheng Chao C   Gerstein Mark M  

Genome biology 20140828 8


Increasingly, high-dimensional genomics data are becoming available for many organisms.Here, we develop OrthoClust for simultaneously clustering data across multiple species. OrthoClust is a computational framework that integrates the co-association networks of individual species by utilizing the orthology relationships of genes between species. It outputs optimized modules that are fundamentally cross-species, which can either be conserved or species-specific. We demonstrate the application of  ...[more]

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