MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification

Background

Sequencing datasets consist of a finite number of reads which map to specific regions of a reference genome. Most effort in modeling these datasets focuses on the detection of univariate differentially expressed genes. However, for classification, we must consider multiple genes and their interactions.

Results

Thus, we introduce a hierarchical multivariate Poisson model (MP) and the associated optimal Bayesian classifier (OBC) for classifying samples using sequencing data. Lacking closed-form solutions, we employ a Monte Carlo Markov Chain (MCMC) approach to perform classification. We demonstrate superior or equivalent classification performance compared to typical classifiers for two synthetic datasets and over a range of classification problem difficulties. We also introduce the Bayesian minimum mean squared error (MMSE) conditional error estimator and demonstrate its computation over the feature space. In addition, we demonstrate superior or leading class performance over an RNA-Seq dataset containing two lung cancer tumor types from The Cancer Genome Atlas (TCGA).

Conclusions

Through model-based, optimal Bayesian classification, we demonstrate superior classification performance for both synthetic and real RNA-Seq datasets. A tutorial video and Python source code is available under an open source license at http://bit.ly/1gimnss.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-014-0401-3) contains supplementary material, which is available to authorized users.     

Analysis of Allele-Specific Expression in Mouse Liver by RNA-Seq: A Comparison With Cis-eQTL Identified Using Genetic Linkage

We report an analysis of allele-specific expression (ASE) and parent-of-origin expression in adult mouse liver using next generation sequencing (RNA-Seq) of reciprocal crosses of heterozygous F₁ mice from the parental strains C57BL/6J and DBA/2J. We found a 60% overlap between genes exhibiting ASE and putative cis-acting expression quantitative trait loci (cis-eQTL) identified in an intercross between the same strains. We discuss the various biological and technical factors that contribute to the differences. We also identify genes exhibiting parental imprinting and complex expression patterns. Our study demonstrates the importance of biological replicates to limit the number of false positives with RNA-Seq data.     

沙葱萤叶甲成虫不同夏滞育阶段的转录组分析(英文)

【目的】本研究旨在揭示内蒙古草原新害虫沙葱萤叶甲Galeruca daurica专性夏滞育相关的重要基因以及代谢通路。【方法】应用RNA-Seq技术,对沙葱萤叶甲成虫不同夏滞育阶段［滞育前期(PD)、滞育期(D)及滞育后期(TD)］进行转录组测序、分析及基因功能预测,基于RNA-Seq数据筛选夏滞育不同阶段差异表达基因;利用qPCR对基于RNA-Seq数据筛选的10个差异表达基因的表达水平进行验证。【结果】从9个文库中获得202 770 198 clean reads,将12 078 060条转录本组装获得82 292 条unigene,平均长度为783.59 bp,N50为1 545 bp。沙葱萤叶甲D vs PD和TD vs D 比较组分别有2 395(2 119上调和277下调)和62(59上调和3下调)个差异基因。KEGG分析表明,D vs PD和TD vs D比较组差异表达基因分别显著富集于糖孝解/糖异生通路和脂肪酸生物合成通路;此外,许多与钙离子信号转导相关的基因在滞育期间差异表达。10个差异表达基因的qPCR分析表明,RNA-Seq与qPCR结果高度一致。【结论】糖孝解/糖异生、脂肪酸生物合成及钙离子信号通路可能在沙葱萤叶甲滞育调节中起着重要的作用。本研究为进一步研究沙葱萤叶甲成虫专性夏滞育的分子机理奠定了基础。     

Jumping and gliding rodents: Mitogenomic affinities of Pedetidae and Anomaluridae deduced from an RNA-Seq approach

An RNA-Seq strategy was used to obtain the complete set of protein-coding mitochondrial genes from two rodent taxa. Thanks to the next generation sequencing (NGS) 454 approach, we determined the complete mitochondrial DNA genome from Graphiurus kelleni (Mammalia: Rodentia: Gliridae) and partial mitogenome from Pedetes capensis (Pedetidae), and compared them with published rodent and outgroup mitogenomes. We finished the mitogenome sequencing by a series of amplicons using conserved PCR primers to fill the gaps corresponding to tRNA, rRNA and control regions. Phylogenetic analyses of the mitogenomes suggest a well-supported rodent phylogeny in agreement with nuclear gene trees. Pedetes groups with Anomalurus into the clade Anomaluromorpha, while Graphiurus branches within the squirrel-related clade. Moreover, Pedetes + Anomalurus branch with Castor into the mouse-related clade. Our study demonstrates the utility of NGS for obtaining new mitochondrial genomes as well as the importance of choosing adequate models of sequence evolution to infer the phylogeny of rodents.