Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data

被引：849

作者：

Carver, Tim ^{[1
]}

Harris, Simon R. ^{[1
]}

Berriman, Matthew ^{[1
]}

Parkhill, Julian ^{[1
]}

McQuillan, Jacqueline A. ^{[1
]}

机构：

[1] Wellcome Trust Sanger Inst, Cambridge CB10 1SA, England

来源：

BIOINFORMATICS | 2012年 / 28卷 / 04期

基金：

英国惠康基金;

关键词：

READ ALIGNMENT; GENOME BROWSER; TRANSCRIPTOME; ANNOTATION; EVOLUTION; PATHOGEN; FORMAT;

D O I：

10.1093/bioinformatics/btr703

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: High-throughput sequencing (HTS) technologies have made low-cost sequencing of large numbers of samples commonplace. An explosion in the type, not just number, of sequencing experiments has also taken place including genome re-sequencing, population-scale variation detection, whole transcriptome sequencing and genome-wide analysis of protein- bound nucleic acids. Results: We present Artemis as a tool for integrated visualization and computational analysis of different types of HTS datasets in the context of a reference genome and its corresponding annotation.

引用

页码：464 / 469

页数：6

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