affyGG: computational protocols for genetical genomics with Affymetrix arrays.

Clicks: 267
ID: 903
2008
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #99 of 456 articles by views in Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 456 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Affymetrix arrays use multiple probes per gene to measure mRNA abundances. Standard software takes averages over probes. Important information may be lost if polymorphisms in the mRNA affect the hybridization of individual probes.We present custom software to analyze genetical genomics experiments in human, mouse and other organisms: (i) an R package providing functions for QTL analysis at the individual probe level and (ii) Perl scripts providing custom tracks in the UCSC Genome Browser to check for sequence polymorphisms in probe regions.http://gbic.biol.rug.nl/supplementary.
Reference Key
alberts2008affygg: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Alberts, Rudi;Vera, Gonzalo;Jansen, Ritsert C;
Journal Bioinformatics
Year 2008
DOI
DOI not found
URL URL not found
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.