Tag Archives: isoforms

The advent of next-generation RNA sequencing (RNA-seq) has greatly advanced transcriptomic studies, including system-wide identification and quantification of mRNA isoforms under various biological conditions. A number of computational methods have been developed to systematically identify mRNA isoforms in a high-throughput ...

Detecting and quantifying isoforms from RNA-seq data is an important but challenging task. The problem is often ill-posed, particularly at low coverage. One promising direction is to exploit several samples simultaneously. A team led by researchers at MINES ParisTech have ...

Biological and biomedical research relies on comprehensive understanding of protein-coding transcripts. However, the total number of human proteins is still unknown due to the prevalence of alternative splicing. Now, a team led by researchers at Shanghai Jiao Tong University have ...

Next generation sequencing of cellular RNA is making it possible to characterize genes and alternative splicing in unprecedented detail. However, designing bioinformatics tools to capture splicing variation accurately has proven difficult. Current programs find major isoforms of a gene but ...

RNA-sequencing data analysis method BitSeq developed by Academy Research Fellow Antti Honkela?s research group and University of Manchester researchers has been found to be the most accurate gene transcript expression estimation method in a large international assessment. The method is ...

Identification of genetic variants affecting splicing in RNA sequencing population studies is still in its infancy. Splicing phenotype is more complex than gene expression and ought to be treated as a multivariate phenotype to be recapitulated completely. Here a team ...

Gene assembly, which recovers gene segments from short reads, is an important step in functional analysis of next-generation sequencing data. Lacking quality reference genomes, de novo assembly is commonly used for RNA-Seq data of non-model organisms and metagenomic data. However, ...

Several state-of-the-art methods for isoform identification and quantification are based on l1-regularized regression, such as the Lasso. However, explicitly listing the-possibly exponentially-large set of candidate transcripts is intractable for genes with many exons. For this reason, existing approaches using the ...

The main goal of the whole transcriptome analysis is to correctly identify all expressed transcripts within a specific cell/tissue – at a particular stage and condition – to determine their structures and to measure their abundances. RNA-seq data promise to ...

High-throughput sequencing of RNA in vivo facilitates many applications, not the least of which is the cataloging of variant splice isoforms of protein-coding messenger RNAs. While many solutions have been proposed for reconstructing putative isoforms from deep sequencing data, these ...