High-throughput sequencing

From "A B C"
Revision as of 13:39, 12 November 2012 by Boris (talk | contribs) (Created page with "<div id="APB"> <div class="b1"> High-Throughput Sequencing </div> {{dev}} HTS - approaches and algorithms. __TOC__   ==Introductory reading== <section begin=read...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

High-Throughput Sequencing


This page is a placeholder, or under current development; it is here principally to establish the logical framework of the site. The material on this page is correct, but incomplete.


HTS - approaches and algorithms.



 

Introductory reading

Malone & Oliver (2011) Microarrays, deep sequencing and the true measure of the transcriptome. BMC Biol 9:34. (pmid: 21627854)

PubMed ] [ DOI ] Microarrays first made the analysis of the transcriptome possible, and have produced much important information. Today, however, researchers are increasingly turning to direct high-throughput sequencing -- RNA-Seq -- which has considerable advantages for examining transcriptome fine structure -- for example in the detection of allele-specific expression and splice junctions. In this article, we discuss the relative merits of the two techniques, the inherent biases in each, and whether all of the vast body of array work needs to be revisited using the newer technology. We conclude that microarrays remain useful and accurate tools for measuring expression levels, and RNA-Seq complements and extends microarray measurements.


 

Contents

   

Further reading and resources