Gene Family Level Comparative Analysis of Gene Expression in Mammals Validates the Ortholog Conjecture
出版年份 2014 全文链接
标题
Gene Family Level Comparative Analysis of Gene Expression in Mammals Validates the Ortholog Conjecture
作者
关键词
-
出版物
Genome Biology and Evolution
Volume 6, Issue 4, Pages 754-762
出版商
Oxford University Press (OUP)
发表日期
2014-03-09
DOI
10.1093/gbe/evu051
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Density peaks of paralog pairs in human and mouse genomes
- (2013) Alexander E. Vinogradov GENE
- Accelerated Evolution after Gene Duplication: A Time-Dependent Process Affecting Just One Copy
- (2013) Cinta Pegueroles et al. MOLECULAR BIOLOGY AND EVOLUTION
- Functional and evolutionary implications of gene orthology
- (2013) Toni Gabaldón et al. NATURE REVIEWS GENETICS
- Correcting for the bias due to expression specificity improves the estimation of constrained evolution of expression between mouse and human
- (2012) Barbara Piasecka et al. BIOINFORMATICS
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
- (2012) Cole Trapnell et al. Nature Protocols
- On the Use of Gene Ontology Annotations to Assess Functional Similarity among Orthologs and Paralogs: A Short Report
- (2012) Paul D. Thomas et al. PLoS Computational Biology
- The Ortholog Conjecture Is Untestable by the Current Gene Ontology but Is Supported by RNA Sequencing Data
- (2012) Xiaoshu Chen et al. PLoS Computational Biology
- Resolving the Ortholog Conjecture: Orthologs Tend to Be Weakly, but Significantly, More Similar in Function than Paralogs
- (2012) Adrian M. Altenhoff et al. PLoS Computational Biology
- Evidence for short-time divergence and long-time conservation of tissue-specific expression after gene duplication
- (2011) J. Huerta-Cepas et al. BRIEFINGS IN BIOINFORMATICS
- Computational methods for Gene Orthology inference
- (2011) D. M. Kristensen et al. BRIEFINGS IN BIOINFORMATICS
- Organ and Cell Type–Specific Complementary Expression Patterns and Regulatory Neofunctionalization between Duplicated Genes in Arabidopsis thaliana
- (2011) Shao-Lun Liu et al. Genome Biology and Evolution
- The evolution of gene expression levels in mammalian organs
- (2011) David Brawand et al. NATURE
- The Ecoresponsive Genome of Daphnia pulex
- (2011) J. K. Colbourne et al. SCIENCE
- Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
- (2011) Nathan L. Nehrt et al. PLoS Computational Biology
- RNA sequencing shows no dosage compensation of the active X-chromosome
- (2010) Yuanyan Xiong et al. NATURE GENETICS
- The evolution of gene duplications: classifying and distinguishing between models
- (2010) Hideki Innan et al. NATURE REVIEWS GENETICS
- Maintenance of duplicate genes and their functional redundancy by reduced expression
- (2010) Wenfeng Qian et al. TRENDS IN GENETICS
- A Problem With the Correlation Coefficient as a Measure of Gene Expression Divergence
- (2009) Vini Pereira et al. GENETICS
- Posttranslational regulation impacts the fate of duplicated genes
- (2009) G. D. Amoutzias et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- How confident can we be that orthologs are similar, but paralogs differ?
- (2009) Romain A. Studer et al. TRENDS IN GENETICS
- Phylogenetic and Functional Assessment of Orthologs Inference Projects and Methods
- (2009) Adrian M. Altenhoff et al. PLoS Computational Biology
- Mapping and quantifying mammalian transcriptomes by RNA-Seq
- (2008) Ali Mortazavi et al. NATURE METHODS
- Turning a hobby into a job: How duplicated genes find new functions
- (2008) Gavin C. Conant et al. NATURE REVIEWS GENETICS
- RNA-Seq: a revolutionary tool for transcriptomics
- (2008) Zhong Wang et al. NATURE REVIEWS GENETICS
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