Data obtained using modern sequencing technologies are often summarized by recording the frequencies of observed sequences. Examples include the analysis of T cell counts in immunological research and studies of gene expression based on counts of RNA fragments. In both cases the items being counted are sequences, of proteins and base pairs, respectively. The resulting sequence-abundance distribution is usually characterized by overdispersion. We propose a Bayesian semi-parametric approach to implement inference for such data. Besides modeling the overdispersion, the approach takes also into account two related sources of bias that are usually associated with sequence counts data: some sequence types may not be recorded during the experiment...
none4noIn the last few years, RNA-Seq has become a popular choice for highthroughput studies of gene...
Three statistical models are developed to address problems in Next-Generation Sequencing data. The f...
BACKGROUND: Pairing of samples arises naturally in many genomic experiments; for example, gene expre...
Summary. Data obtained using modern sequencing technologies are often summarized by recording the fr...
Next-generation sequencing technologies provide a revolutionary tool for generating gene expres-sion...
Abstract Background An important challenge for transcript counting methods such as Serial Analysis o...
Next generation sequencing is quickly replacing microarrays as a technique to probe different molecu...
The thesis is composed of three independent projects: (i) analyzing transposon-sequencing data to in...
We develop a Bayesian framework for the analysis of high-throughput sequencing count data under a va...
In a sample of mRNA species counts, sequences without duplicates or with small numbers of copies are...
Evaluating the similarity of different measured variables is a fundamental task of statistics, and a...
<div><p>Evaluating the similarity of different measured variables is a fundamental task of statistic...
Summary. Serial analysis of gene expression (SAGE) is a technology for quantifying gene expression i...
International audienceNext-generation sequencing technologies now constitute a method of choice to m...
Abstract Background Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identifi...
none4noIn the last few years, RNA-Seq has become a popular choice for highthroughput studies of gene...
Three statistical models are developed to address problems in Next-Generation Sequencing data. The f...
BACKGROUND: Pairing of samples arises naturally in many genomic experiments; for example, gene expre...
Summary. Data obtained using modern sequencing technologies are often summarized by recording the fr...
Next-generation sequencing technologies provide a revolutionary tool for generating gene expres-sion...
Abstract Background An important challenge for transcript counting methods such as Serial Analysis o...
Next generation sequencing is quickly replacing microarrays as a technique to probe different molecu...
The thesis is composed of three independent projects: (i) analyzing transposon-sequencing data to in...
We develop a Bayesian framework for the analysis of high-throughput sequencing count data under a va...
In a sample of mRNA species counts, sequences without duplicates or with small numbers of copies are...
Evaluating the similarity of different measured variables is a fundamental task of statistics, and a...
<div><p>Evaluating the similarity of different measured variables is a fundamental task of statistic...
Summary. Serial analysis of gene expression (SAGE) is a technology for quantifying gene expression i...
International audienceNext-generation sequencing technologies now constitute a method of choice to m...
Abstract Background Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identifi...
none4noIn the last few years, RNA-Seq has become a popular choice for highthroughput studies of gene...
Three statistical models are developed to address problems in Next-Generation Sequencing data. The f...
BACKGROUND: Pairing of samples arises naturally in many genomic experiments; for example, gene expre...