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RNA junctions are important structural elements of RNA molecules. They are formed when three or more helices come together in three-dimensional space. Recent studies have focused on the annotation and prediction of coaxial helical stacking…

Computational Engineering, Finance, and Science · Computer Science 2016-09-08 Lei Hua , Yang Song , Namhee Kim , Christian Laing , Jason T. L. Wang , Tamar Schlick

High-throughput RNA sequencing (RNA-seq) is now the standard method to determine differential gene expression. Identifying differentially expressed genes crucially depends on estimates of read count variability. These estimates are…

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,…

Genomics · Quantitative Biology 2015-01-28 James Hensman , Peter Glaus , Antti Honkela , Magnus Rattray

The high-throughput short-reads RNA-seq protocols often produce paired-end reads, with the middle portion of the fragments being unsequenced. We explore if the full-length fragments can be computationally reconstructed from the sequenced…

Genomics · Quantitative Biology 2023-10-06 Xiang Li , Mingfu Shao

The newly developed deep-sequencing technologies make it possible to acquire both quantitative and qualitative information regarding transcript biology. By measuring messenger RNA levels for all genes in a sample, RNA-seq provides an…

Genomics · Quantitative Biology 2014-12-05 Lerong Li , Momiao Xiong

Next generation sequencing allows the identification of genes consisting of differentially expressed transcripts, a term which usually refers to changes in the overall expression level. A specific type of differential expression is…

Genomics · Quantitative Biology 2017-11-07 Panagiotis Papastamoulis , Magnus Rattray

Background: Since the invention of next-generation RNA sequencing (RNA-seq) technologies, they have become a powerful tool to study the presence and quantity of RNA molecules in biological samples and have revolutionized transcriptomic…

Genomics · Quantitative Biology 2021-12-01 Wei Vivian Li , Jingyi Jessica Li

The RNA-sequencing (RNA-seq) is becoming increasingly popular for quantifying gene expression levels. Since the RNA-seq measurements are relative in nature, between-sample normalization of counts is an essential step in differential…

Methodology · Statistics 2016-10-14 Kefei Liu , Jieping Ye , Yang Yang , Li Shen , Hui Jiang

We have developed a statistical method named IsoDOT to assess differential isoform expression (DIE) and differential isoform usage (DIU) using RNA-seq data. Here isoform usage refers to relative isoform expression given the total expression…

Noncoding RNAs are integral to a wide range of biological processes, including translation, gene regulation, host-pathogen interactions and environmental sensing. While genomics is now a mature field, our capacity to identify noncoding RNA…

RNA sequencing (RNA-seq) is the conventional genome-scale approach used to capture the expression levels of all detectable genes in a biological sample. This is now regularly used for population-based studies designed to identify genetic…

Genomics · Quantitative Biology 2026-05-25 Christopher Thron , Farhad Jafari

CLIP-seq methods are valuable techniques to experimentally determine transcriptome-wide binding sites of RNA-binding proteins. Despite the constant improvement of such techniques (e.g. eCLIP), the results are affected by various types of…

Biomolecules · Quantitative Biology 2024-12-31 Gianluca Corrado , Michael Uhl , Rolf Backofen , Andrea Passerini , Fabrizio Costa

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…

Genomics · Quantitative Biology 2023-04-26 Sara Ghazanfari , Ali Rasteh , Seyed Abolfazl Motahari , Mahdieh Soleymani Baghshah

Background and Objective: The massive parallel sequencing technology facilitates new discoveries in terms of transcript differential analysis; however, all the new findings must be validated, since the diversity of transcript expression may…

The number of studies dealing with RNA-Seq data analysis has experienced a fast increase in the past years making this type of gene expression a strong competitor to the DNA microarrays. This paper proposes a Bayesian model to detect down…

Applications · Statistics 2019-11-05 Vinícius D. Mayrink , Flávio B. Gonçalves

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…

Computational Engineering, Finance, and Science · Computer Science 2015-12-31 Wei Zhang , Jae-Woong Chang , Lilong Lin , Kay Minn , Baolin Wu , Jeremy Chien , Jeongsik Yong , Hui Zheng , Rui Kuang

Next-generation sequencing (NGS) technologies allow new methodologies for alternative splicing (AS) analysis. Current computational methods for AS from NGS data are mainly focused on predicting splice site junctions or de novo assembly of…

Genomics · Quantitative Biology 2012-08-15 Stefano Beretta , Paola Bonizzoni , Gianluca Della Vedova , Raffaella Rizzi

A single gene can encode for different protein versions through a process called alternative splicing. Since proteins play major roles in cellular functions, aberrant splicing profiles can result in a variety of diseases, including cancers.…

Genomics · Quantitative Biology 2021-03-09 Alvin Chan , Anna Korsakova , Yew-Soon Ong , Fernaldo Richtia Winnerdy , Kah Wai Lim , Anh Tuan Phan

We are interested in the comparison of transcript boundaries from cells which originated in different environments. The goal is to assess whether this phenomenon, called differential splicing, is used to modify the transcription of the…

Applications · Statistics 2013-07-12 Alice Cleynen , Stéphane Robin

High-throughput cDNA sequencing (RNA-seq) is a very powerful technique to quantify gene expression in an unbiased way. The Crustacean family is among the groups of organisms sparsely represented in current genomic databases. Here we present…

Genomics · Quantitative Biology 2020-01-10 Hanin Omar , Casey A. Cole , Arjang Fahim , Giuliana Gusmaroli , Stephen Borgianini , Homayoun Valafar