ArticleNucleic acids research2010
Teolenn: an efficient and customizable workflow to design high-quality probes for microarray experiments.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Comparative Transcriptomics Highlights New Features of the Iron Starvation Response in the Human PathogenFrontiers in microbiology · 2018Article
- Sumoylation of the THO complex regulates the biogenesis of a subset of mRNPs.Nucleic acids research · 2014Article
- Kinetic transcriptome analysis reveals an essentially intact induction system in a cellulase hyper-producer Trichoderma reesei strain.Biotechnology for biofuels · 2014Article
- Comparative transcriptomics reveals different strategies of Trichoderma mycoparasitism.BMC genomics · 2013Article
- The CRE1 carbon catabolite repressor of the fungus Trichoderma reesei: a master regulator of carbon assimilation.BMC genomics · 2011Article
- A general framework for optimization of probes for gene expression microarray and its application to the fungus Podospora anserina.BMC research notes · 2010Article
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Authors and funding
7 authors.
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Abstract
Despite the development of new high-throughput sequencing techniques, microarrays are still attractive tools to study small genome organisms, thanks to sample multiplexing and high-feature densities. However, the oligonucleotide design remains a delicate step for most users. A vast array of software is available to deal with this problem, but each program is developed with its own strategy, which makes the choice of the best solution difficult. Here we describe Teolenn, a universal probe design workflow developed with a flexible and customizable module organization allowing fixed or variable length oligonucleotide generation. In addition, our software is able to supply quality scores for each of the designed probes. In order to assess the relevance of these scores, we performed a real hybridization using a tiling array designed against the Trichoderma reesei fungus genome. We show that our scoring pipeline correlates with signal quality for 97.2% of all the designed probes, allowing for a posteriori comparisons between quality scores and signal intensities. This result is useful in discarding any bad scoring probes during the design step in order to get high-quality microarrays. Teolenn is available at http://transcriptome.ens.fr/teolenn/.
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