The challenges of delivering bioinformatics training in the analysis of high-throughput data

被引：11

作者：

Carvalho, Benilton S. ^{[1
]}

Rustici, Gabriella ^{[2
]}

机构：

[1] Univ Cambridge, Dept Oncol, Cambridge CB2 1TN, England

[2] European Bioinformat Inst EMBL EBI, Funct Genom Grp, Cambridge, England

来源：

BRIEFINGS IN BIOINFORMATICS | 2013年 / 14卷 / 05期

关键词：

bioinformatics training; high-throughput sequencing analysis; statistical methodologies; practical courses; open-source software; DIFFERENTIAL EXPRESSION ANALYSIS; RNA-SEQ; CHIP-SEQ; BIOCONDUCTOR PACKAGE; NORMALIZATION; ALIGNMENT; BINDING; TOOL;

D O I：

10.1093/bib/bbt018

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

High-throughput technologies are widely used in the field of functional genomics and used in an increasing number of applications. For many 'wet lab' scientists, the analysis of the large amount of data generated by such technologies is a major bottleneck that can only be overcome through very specialized training in advanced data analysis methodologies and the use of dedicated bioinformatics software tools. In this article, we wish to discuss the challenges related to delivering training in the analysis of high-throughput sequencing data and how we addressed these challenges in the hands-on training courses that we have developed at the European Bioinformatics Institute.

引用

页码：538 / 547

页数：10