Evidence map›Paper›PMID 17064411›Full record

ArticleBMC bioinformatics2006

CAFTAN: a tool for fast mapping, and quality assessment of cDNAs.

Coral del Val, Vladimir Yurjevich Kuryshev, Karl-Heinz Glatting, Peter Ernst, Agnes Hotz-Wagenblatt, Annemarie Poustka, Sandor Suhai, Stefan Wiemann

Abstract readEvaluation Study
In one paragraph

Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Coral del ValDKFZ, German Cancer Research Center, Division Molecular Biophysics, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. c.delval@dkfz.de
Vladimir Yurjevich Kuryshev
Karl-Heinz Glatting
Peter Ernst
Agnes Hotz-Wagenblatt
Annemarie Poustka
Sandor Suhai
Stefan Wiemann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe German cDNA Consortium has been cloning full length cDNAs and continued with their exploitation in protein localization experiments and cellular assays. However, the efficient use of large cDNA resources requires the development of strategies that are capable of a speedy selection of truly useful cDNAs from biological and experimental noise. To this end we have developed a new high-throughput analysis tool, CAFTAN, which simplifies these efforts and thus fills the gap between large-scale cDNA collections and their systematic annotation and application in functional genomics.

resultsCAFTAN is built around the mapping of cDNAs to the genome assembly, and the subsequent analysis of their genomic context. It uses sequence features like the presence and type of PolyA signals, inner and flanking repeats, the GC-content, splice site types, etc. All these features are evaluated in individual tests and classify cDNAs according to their sequence quality and likelihood to have been generated from fully processed mRNAs. Additionally, CAFTAN compares the coordinates of mapped cDNAs with the genomic coordinates of reference sets from public available resources (e.g., VEGA, ENSEMBL). This provides detailed information about overlapping exons and the structural classification of cDNAs with respect to the reference set of splice variants. The evaluation of CAFTAN showed that is able to correctly classify more than 85% of 5950 selected "known protein-coding" VEGA cDNAs as high quality multi- or single-exon. It identified as good 80.6 % of the single exon cDNAs and 85 % of the multiple exon cDNAs. The program is written in Perl and in a modular way, allowing the adoption of this strategy to other tasks like EST-annotation, or to extend it by adding new classification rules and new organism databases as they become available. We think that it is a very useful program for the annotation and research of unfinished genomes.

conclusionCAFTAN is a high-throughput sequence analysis tool, which performs a fast and reliable quality prediction of cDNAs. Several thousands of cDNAs can be analyzed in a short time, giving the curator/scientist a first quick overview about the quality and the already existing annotation of a set of cDNAs. It supports the rejection of low quality cDNAs and helps in the selection of likely novel splice variants, and/or completely novel transcripts for new experiments.

Indexed as

Chromosome MappingComputational BiologySoftwareDNA, ComplementaryGenomeHumansRNA, MessengerRNA SplicingSequence Analysis, DNADNA, ComplementaryRNA, Messenger

Identifiers

PMID17064411
PMCPMC1636072

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.