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

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

DOI:
10.1186/gb-2014-15-8-r100
复制
发表时间:
2014-08-28
期刊:
影响因子:
12.3
通讯作者:
Gerstein M
Gerstein M
中科院分区:
生物学1区
文献类型:
--
作者:
Yan KK;Wang D;Rozowsky J;Zheng H;Cheng C;Gerstein M

文献摘要

参考文献

被引文献

相似文献

越来越多的高维基因组学数据正变得对许多生物可用。在这里,我们开发了OrthoClust,用于同时对多个物种的数据进行聚类。OrthoCluust是一个计算框架,它通过利用物种间基因的正向关系来整合单个物种的共同关联网络。它输出的优化模块基本上是跨物种的,既可以是保守的,也可以是物种特定的。我们使用modENCODE联盟的线虫和黑腹果蝇的RNA-Seq表达谱演示了OrthoCluust的应用。跨物种模块的一个潜在应用是基于内疚-关联推断未表征元件的假定类似功能,如非编码RNA。本文的在线版本(DOI:10.1186/GB-2014-15-8-R100)包含向授权用户提供的补充材料。
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. The online version of this article (doi:10.1186/gb-2014-15-8-r100) contains supplementary material, which is available to authorized users.
WGCNA:用于加权相关网络分析的 R 包。
DOI: 10.1186/1471-2105-9-559
发表时间: 2008-12-29
期刊: BMC bioinformatics
影响因子: 3
作者:
Langfelder P;Horvath S
通讯作者: Horvath S
一种从基于本体的相似性预测基因产品网络的横向方法。
DOI: 10.1186/1471-2105-8-235
发表时间: 2007-07-02
期刊: BMC bioinformatics
影响因子: 3
作者:
Chabalier J;Mosser J;Burgun A
通讯作者: Burgun A
DOI: 10.1093/molbev/msh222
发表时间: 2004-11-01
影响因子: 10.7
作者:
Jordan, IK;Mariño-Ramírez, L;Koonin, EV
通讯作者: Koonin, EV
DOI: 10.1103/physrevlett.90.158102
发表时间: 2003-04-18
影响因子: 8.6
作者:
Agrawal, H;Domany, E
通讯作者: Domany, E
David Gene功能分类工具:一种以生物模块为中心的新型算法,可在功能上分析大基因列表。
DOI: 10.1186/gb-2007-8-9-r183
发表时间: 2007
期刊: GENOME BIOLOGY
影响因子: 12.3
作者:
Huang, Da Wei;Sherman, Brad T;Tan, Qina;Collins, Jack R;Alvord, W Gregory;Roayaei, Jean;Stephens, Robert;Baseler, Michael W;Lane, H Clifford;Lempicki, Richard A
通讯作者: Lempicki, Richard A