Literature DB >> 23060614

Tools for mapping high-throughput sequencing data.

Nuno A Fonseca1, Johan Rung, Alvis Brazma, John C Marioni.   

Abstract

MOTIVATION: A ubiquitous and fundamental step in high-throughput sequencing analysis is the alignment (mapping) of the generated reads to a reference sequence. To accomplish this task, numerous software tools have been proposed. Determining the mappers that are most suitable for a specific application is not trivial.
RESULTS: This survey focuses on classifying mappers through a wide number of characteristics. The goal is to allow practitioners to compare the mappers more easily and find those that are most suitable for their specific problem.

Mesh:

Year:  2012        PMID: 23060614     DOI: 10.1093/bioinformatics/bts605

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  88 in total

1.  Count-based differential expression analysis of RNA sequencing data using R and Bioconductor.

Authors:  Simon Anders; Davis J McCarthy; Yunshun Chen; Michal Okoniewski; Gordon K Smyth; Wolfgang Huber; Mark D Robinson
Journal:  Nat Protoc       Date:  2013-08-22       Impact factor: 13.491

2.  The road from next-generation sequencing to personalized medicine.

Authors:  Manuel L Gonzalez-Garay
Journal:  Per Med       Date:  2014       Impact factor: 2.512

Review 3.  Computational and analytical challenges in single-cell transcriptomics.

Authors:  Oliver Stegle; Sarah A Teichmann; John C Marioni
Journal:  Nat Rev Genet       Date:  2015-01-28       Impact factor: 53.242

Review 4.  RNA-Seq: Improving Our Understanding of Retinal Biology and Disease.

Authors:  Michael H Farkas; Elizabeth D Au; Maria E Sousa; Eric A Pierce
Journal:  Cold Spring Harb Perspect Med       Date:  2015-02-26       Impact factor: 6.915

Review 5.  A Primer on Infectious Disease Bacterial Genomics.

Authors:  Tarah Lynch; Aaron Petkau; Natalie Knox; Morag Graham; Gary Van Domselaar
Journal:  Clin Microbiol Rev       Date:  2016-09-07       Impact factor: 26.132

Review 6.  From next-generation resequencing reads to a high-quality variant data set.

Authors:  S P Pfeifer
Journal:  Heredity (Edinb)       Date:  2016-10-19       Impact factor: 3.821

7.  Detecting and characterizing circular RNAs.

Authors:  William R Jeck; Norman E Sharpless
Journal:  Nat Biotechnol       Date:  2014-05       Impact factor: 54.908

8.  A field guide for the compositional analysis of any-omics data.

Authors:  Thomas P Quinn; Ionas Erb; Greg Gloor; Cedric Notredame; Mark F Richardson; Tamsyn M Crowley
Journal:  Gigascience       Date:  2019-09-01       Impact factor: 6.524

9.  Simulation-based comprehensive benchmarking of RNA-seq aligners.

Authors:  Giacomo Baruzzo; Katharina E Hayer; Eun Ji Kim; Barbara Di Camillo; Garret A FitzGerald; Gregory R Grant
Journal:  Nat Methods       Date:  2016-12-12       Impact factor: 28.547

10.  CLASS2: accurate and efficient splice variant annotation from RNA-seq reads.

Authors:  Li Song; Sarven Sabunciyan; Liliana Florea
Journal:  Nucleic Acids Res       Date:  2016-03-14       Impact factor: 16.971

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