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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

Background: Identifying all possible mapping locations of next-generation sequencing (NGS) reads is highly essential in several applications such as prediction of genomic variants or protein binding motifs located in repeat regions, isoform…

Genomics · Quantitative Biology 2020-03-25 Ngoc Hieu Tran , Xin Chen

Short-read DNA sequencing instruments can yield over 1e+12 bases per run, typically composed of reads 150 bases long. Despite this high throughput, de novo assembly algorithms have difficulty reconstructing contiguous genome sequences using…

Genomics · Quantitative Biology 2023-06-09 Eric Chen , Justin Chu , Jessica Zhang , Rene L. Warren , Inanc Birol

Most human protein-coding genes can be transcribed into multiple possible distinct mRNA isoforms. These alternative splicing patterns encourage molecular diversity and dysregulation of isoform expression plays an important role in disease…

Quantitative Methods · Quantitative Biology 2018-05-09 Derek Aguiar , Li-Fang Cheng , Bianca Dumitrascu , Fantine Mordelet , Athma A Pai , Barbara E Engelhardt

De novo genome assembly is challenging in highly repetitive regions; however, reference-guided assemblers often suffer from bias. We propose a framework for pangenome-guided sequence assembly, which can resolve short-read data in complex…

Quantum Physics · Physics 2026-02-11 Josh Cudby , James Bonfield , Chenxi Zhou , Richard Durbin , Sergii Strelchuk

Adequate read filtering is critical when processing high-throughput data in marker-gene-based studies. Sequencing errors can cause the mis-clustering of otherwise similar reads, artificially increasing the number of retrieved Operational…

Quantitative Methods · Quantitative Biology 2015-06-02 Fernando Puente-Sánchez , Jacobo Aguirre , Víctor Parro

In computational molecular biology, gene regulatory binding sites prediction in whole genome remains a challenge for the researchers. Now a days, the genome wide regulatory binding site prediction tools required either direct pattern…

Genomics · Quantitative Biology 2010-02-06 Chandra Prakash Singh , Feroz Khan , Sanjay Kumar Singh , Durg Singh Chauhan

Btrim is a fast and lightweight software to trim adapters and low quality regions in reads from ultra high-throughput next-generation sequencing machines. It also can reliably identify barcodes and assign the reads to the original samples.…

Genomics · Quantitative Biology 2024-05-28 Yong Kong

Cheap high-throughput DNA sequencing may soon become routine not only for human genomes but also for practically anything requiring the identification of living organisms from their DNA: tracking of infectious agents, control of food…

Genomics · Quantitative Biology 2014-03-05 Laurent Gautier , Ole Lund

Motivation: New long read sequencers promise to transform sequencing and genome assembly by producing reads tens of kilobases long. However their high error rate significantly complicates assembly and requires expensive correction steps to…

Genomics · Quantitative Biology 2017-07-18 Antoine Recanati , Thomas Brüls , Alexandre d'Aspremont

Genome sequence analysis plays a pivotal role in enabling many medical and scientific advancements in personalized medicine, outbreak tracing, and forensics. However, the analysis of genome sequencing data is currently bottlenecked by the…

Hardware Architecture · Computer Science 2021-11-04 Damla Senol Cali

Recent advances in high-throughput cDNA sequencing (RNA-Seq) technology have revolutionized transcriptome studies. A major motivation for RNA-Seq is to map the structure of expressed transcripts at nucleotide resolution. With accurate…

Genomics · Quantitative Biology 2013-09-23 Georg Zeller , Nico Goernitz , Andre Kahles , Jonas Behr , Pramod Mudrakarta , Soeren Sonnenburg , Gunnar Raetsch

Biological sequence analysis relies on the ability to denoise the imprecise output of sequencing platforms. We consider a common setting where a short sequence is read out repeatedly using a high-throughput long-read platform to generate…

Genomics · Quantitative Biology 2023-09-06 Nathan Ng , Ji Won Park , Jae Hyeon Lee , Ryan Lewis Kelly , Stephen Ra , Kyunghyun Cho

Gene regulation is a series of processes that control gene expression and its extent. The connections among genes and their regulatory molecules, usually transcription factors, and a descriptive model of such connections, are known as gene…

Molecular Networks · Quantitative Biology 2017-04-24 Yasser Abduallah , Turki Turki , Kevin Byron , Zongxuan Du , Miguel Cervantes-Cervantes , Jason T. L. Wang

Motivation: Single Molecule Real-Time (SMRT) sequencing technology and Oxford Nanopore technologies (ONT) produce reads over 10kbp in length, which have enabled high-quality genome assembly at an affordable cost. However, at present, long…

Genomics · Quantitative Biology 2017-08-07 Heng Li

Transcriptome assembly from RNA-Seq reads is an active area of bioinformatics research. The ever-declining cost and the increasing depth of RNA-Seq have provided unprecedented opportunities to better identify expressed transcripts. However,…

Computational Engineering, Finance, and Science · Computer Science 2013-06-07 Tin Chi Nguyen , Zhiyu Zhao , Dongxiao Zhu

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…

Genomics · Quantitative Biology 2015-06-19 Hyunghoon Cho , Joe Davis , Xin Li , Kevin S. Smith , Alexis Battle , Stephen B. Montgomery

AirLift is the first read remapping tool that enables users to quickly and comprehensively map a read set, that had been previously mapped to one reference genome, to another similar reference. Users can then quickly run a downstream…

Detecting all the strings that occur in a text more frequently or less frequently than expected according to an IID or a Markov model is a basic problem in string mining, yet current algorithms are based on data structures that are either…

Data Structures and Algorithms · Computer Science 2015-08-13 Djamal Belazzougui , Fabio Cunial

For single-cell or metagenomic sequencing projects, it is necessary to sequence with a very high mean coverage in order to make sure that all parts of the sample DNA get covered by the reads produced. This leads to huge datasets with lots…