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Next-generation RNA sequencing (RNA-seq) technology has been widely used to assess full-length RNA isoform abundance in a high-throughput manner. RNA-seq data offer insight into gene expression levels and transcriptome structures, enabling…

应用统计 · 统计学 2021-12-01 Wei Vivian Li , Anqi Zhao , Shihua Zhang , Jingyi Jessica Li

Isoform quantification is an important goal of RNA-seq experiments, yet it remains prob- lematic for genes with low expression or several isoforms. These difficulties may in principle be ameliorated by exploiting correlated experimental…

基因组学 · 定量生物学 2016-02-23 Yuanhua Huang , Guido Sanguinetti

RNA-Seq technology allows for studying the transcriptional state of the cell at an unprecedented level of detail. Beyond quantification of whole-gene expression, it is now possible to disentangle the abundance of individual alternatively…

基因组学 · 定量生物学 2012-10-11 Barbara Rakitsch , Christoph Lippert , Hande Topa , Karsten Borgwardt , Antti Honkela , Oliver Stegle

Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression. By obtaining tens or even hundreds of millions of reads of transcribed sequences, an RNA-Seq experiment can offer…

统计方法学 · 统计学 2011-06-17 Julia Salzman , Hui Jiang , Wing Hung Wong

Motivation: High-throughput sequencing enables expression analysis at the level of individual transcripts. The analysis of transcriptome expression levels and differential expression estimation requires a probabilistic approach to properly…

基因组学 · 定量生物学 2012-10-10 Peter Glaus , Antti Honkela , Magnus Rattray

Isoforms are mRNAs produced from the same gene site in the phenomenon called Alternative Splicing. Studies have shown that more than 95% of human multi-exon genes have undergone alternative splicing. Although there are few changes in mRNA…

基因组学 · 定量生物学 2023-04-26 Sara Ghazanfari , Ali Rasteh , Seyed Abolfazl Motahari , Mahdieh Soleymani Baghshah

The development of novel high-throughput sequencing (HTS) methods for RNA (RNA-Seq) has provided a very powerful mean to study splicing under multiple conditions at unprecedented depth. However, the complexity of the information to be…

基因组学 · 定量生物学 2015-08-03 Gael P. Alamancos , Eneritz Agirre , Eduardo Eyras

Recent advances in molecular biology allow the quantification of the transcriptome and scoring transcripts as differentially or equally expressed between two biological conditions. Although these two tasks are closely linked, the available…

统计方法学 · 统计学 2017-02-08 Panagiotis Papastamoulis , Magnus Rattray

High-throughput RNA sequencing (RNA-seq) has emerged as a revolutionary and powerful technology for expression profiling. Most proposed methods for detecting differentially expressed (DE) genes from RNA-seq are based on statistics that…

基因组学 · 定量生物学 2014-11-18 Li Zhang , Xuejun Liu , Songcan Chen

High-throughput mRNA sequencing (RNA-Seq) is widely used for transcript quantification of gene isoforms. Since RNA-Seq data alone is often not sufficient to accurately identify the read origins from the isoforms for quantification, we…

计算工程、金融与科学 · 计算机科学 2015-12-31 Wei Zhang , Jae-Woong Chang , Lilong Lin , Kay Minn , Baolin Wu , Jeremy Chien , Jeongsik Yong , Hui Zheng , Rui Kuang

Ultra high-throughput sequencing of transcriptomes (RNA-Seq) has enabled the accurate estimation of gene expression at individual isoform level. However, systematic biases introduced during the sequencing and mapping processes as well as…

统计方法学 · 统计学 2013-10-02 Hui Jiang , Julia Salzman

Motivation: The mapping of RNA-seq reads to their transcripts of origin is a fundamental task in transcript expression estimation and differential expression scoring. Where ambiguities in mapping exist due to transcripts sharing sequence,…

基因组学 · 定量生物学 2015-01-28 James Hensman , Peter Glaus , Antti Honkela , Magnus Rattray

Biological sequences encode fundamental instructions for the building blocks of life, in the form of DNA, RNA, and proteins. Modeling these sequences is key to understand disease mechanisms and is an active research area in computational…

RNA sequencing (RNA-seq) enables characterization and quantification of individual transcriptomes as well as detection of patterns of allelic expression and alternative splicing. Current RNA-seq protocols depend on high-throughput…

基因组学 · 定量生物学 2015-06-19 Hyunghoon Cho , Joe Davis , Xin Li , Kevin S. Smith , Alexis Battle , Stephen B. Montgomery

Next-generation sequencing technologies provide a revolutionary tool for generating gene expression data. Starting with a fixed RNA sample, they construct a library of millions of differentially abundant short sequence tags or "reads",…

定量方法 · 定量生物学 2014-05-13 Dimitrios V. Vavoulis , Julian Gough

RNA-sequencing (RNA-seq) has become an exemplar technology in modern biology and clinical applications over the past decade. It has gained immense popularity in the recent years driven by continuous efforts of the bioinformatics community…

Qualifying gene and isoform expression is one of the primary tasks for RNA-Seq experiments. Given a sequence of counts representing numbers of reads mapped to different positions (exons and junctions) of isoforms, methods based on Poisson…

应用统计 · 统计学 2014-10-27 Jun Li , Hui Jiang

Sequencing technologies have revolutionised the field of molecular biology. We now have the ability to routinely capture the complete RNA profile in tissue samples. This wealth of data allows for comparative analyses of RNA levels at…

统计方法学 · 统计学 2024-07-01 Franziska Hoerbst , Gurpinder Singh Sidhu , Melissa Tomkins , Richard J. Morris

Although RNA-Seq data provide unprecedented isoform-level expression information, detection of alternative isoform regulation (AIR) remains difficult, particularly when working with an incomplete transcript annotation. We introduce…

基因组学 · 定量生物学 2016-06-03 Stephen W. Hartley , James C. Mullikin

RNA-seq has rapidly become the de facto technique to measure gene expression. However, the time required for analysis has not kept up with the pace of data generation. Here we introduce Sailfish, a novel computational method for quantifying…

基因组学 · 定量生物学 2014-04-25 Rob Patro , Stephen M. Mount , Carl Kingsford
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