19442283

From SEQwiki
Jump to: navigation, search

This reference describes PanGEA.

PMID PMID 19442283
Title PanGEA: identification of allele specific gene expression using the 454 technology.
Year 2009
Journal BMC Bioinformatics
Author Kofler R, Teixeira Torres T, Lelley T, Schlötterer C.
Volume
Start page


Error: No contents found at URL http://www.ebi.ac.uk/europepmc/webservices/rest/MED/19442283/citations/4000.

According to Europe PubMed Central, this reference has Error: no local variable "citations" was set. " Error: no local variable "citations" was set. " is not a number. citations.

For reference, you can check Google Scholar, which lacks an API because Google ...


Error: Invalid JSON. According to Almetric, this reference has an Altmetric score of Error: no local variable "altscore" was set. " Error: no local variable "altscore" was set. " is not a number..

Full text description

BACKGROUND: Next generation sequencing technologies hold great potential for many biological questions. While mainly used for genomic sequencing, they are also very promising for gene expression profiling. Sequencing of cDNA does not only provide an estimate of the absolute expression level, it can also be used for the identification of allele specific gene expression. RESULTS: We developed PanGEA, a tool which enables a fast and user-friendly analysis of allele specific gene expression using the 454 technology. PanGEA allows mapping of 454-ESTs to genes or whole genomes, displaying gene expression profiles, identification of SNPs and the quantification of allele specific gene expression. The intuitive GUI of PanGEA facilitates a flexible and interactive analysis of the data. PanGEA additionally implements a modification of the Smith-Waterman algorithm which deals with incorrect estimates of homopolymer length as occuring in the 454 technology CONCLUSION: To our knowledge, PanGEA is the first tool which facilitates the identification of allele specific gene expression. PanGEA is distributed under the Mozilla Public License and available at: http://www.kofler.or.at/bioinformatics/PanGEA