University of Wisconsin

Perm-seq: Mapping Protein-DNA Interactions in Segmental Duplication and Highly Repetitive Regions of Genomes with Prior-Enhanced Read Mapping

Segmental duplications and other highly repetitive regions of genomes contribute significantly to cells’ regulatory programs. Advancements in next generation sequencing enabled …

X. zeng

Evaluation of de novo Transcriptome Assemblies from RNA-Seq Data

De novo RNA-Seq assembly facilitates the study of transcriptomes for species without sequenced genomes, but it is challenging to select the most accurate assembly in this context. …

avatar
Dr. Bo Li

De novo Transcript Sequence Reconstruction from RNA-seq using the Trinity Platform for Reference Generation and Analysis

De novo assembly of RNA-seq data enables researchers to study transcriptomes without the need for a genome sequence; this approach can be usefully applied, for instance, in …

B. haas

RSEM: Accurate Transcript Quantification from RNA-Seq Data with or without a Reference Genome

**Background**RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that …

avatar
Dr. Bo Li

Discoevering Transcription Factor Binding Sites in Highly Repetitive Regions of Genomes with Multi-Read Analysis of ChIP-Seq Data

Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) is rapidly replacing chromatin immunoprecipitation combined with genome-wide tiling array analysis …

D. chung

RNA-Seq Gene Expression Estimation with Read Mapping Uncertainty

**Motivation:** RNA-Seq is a promising new technology for accurately measuring gene expression levels. Expression estimation with RNA-Seq requires the mapping of relatively short …

avatar
Dr. Bo Li