Multiple model species selection for transcriptomics analysis of non-model organisms
作者: Tun-Wen PaiKuan-Hung LiCing-Han YangChin-Hwa HuHan-Jia LinWen-Der WangYet-Ran Chen
来源数据库: SJBM BioMed 文献
DOI: 10.1186/s12859-018-2278-z
关键词: RNA-SEQREFERENCE MODEL SPECIESDIFFERENTIAL EXPRESSION ANALYSISULTRA-CONSERVED ORTHOLOGOUS GENEGENE ONTOLOGYBIOLOGICAL PATHWAY
原始语种摘要: Transcriptomic sequencing (RNA-seq) related applications allow for rapid explorations due to their high-throughput and relatively fast experimental capabilities, providing unprecedented progress in gene functional annotation, gene regulation analysis, and environmental factor verification. However, with increasing amounts of sequenced reads and reference model species, the selection of appropriate reference species for gene annotation has become a new challenge. We proposed a novel approach for finding the most effective reference model species through taxonomic associations and ultra-conserved orthologous (UCO) gene comparisons among species. An online system for multiple species selection (MSS) for RNA-seq differential expression analysis was developed, and comprehensive genomic...
全文获取路径: BMC 
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影响因子:3.024 (2012)

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关键词翻译
关键词翻译
  • selection 选择
  • model 模型
  • analysis 分析
  • species