Evidence map›Paper›PMID 17888146›Full record

ArticleBMC bioinformatics2007

Identification of homologs in insignificant blast hits by exploiting extrinsic gene properties.

Jos Boekhorst, Berend Snel

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Functional Analysis of Hypothetical Proteins ofBioinformatics and biology insights · 2022
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  5. Review
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  9. Identification of MFS proteins in sorghum using semantic similarity.Theory in biosciences = Theorie in den Biowissenschaften · 2013
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jos BoekhorstBioinformatics, Department of Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CH, The Netherlands. J.Boekhorst@uu.nl
Berend Snel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHomology is a key concept in both evolutionary biology and genomics. Detection of homology is crucial in fields like the functional annotation of protein sequences and the identification of taxon specific genes. Basic homology searches are still frequently performed by pairwise search methods such as BLAST. Vast improvements have been made in the identification of homologous proteins by using more advanced methods that use sequence profiles. However additional improvement could be made by exploiting sources of genomic information other than the primary sequence or tertiary structure.

resultsWe test the hypothesis that extrinsic gene properties gene length and gene order can be of help in differentiating spurious sequence similarity from homology in the gray zone. Sharing gene order and similarity in size dramatically increase the chance of a query-hit pair being homologous: gray zone query-hit pairs of similar size and with conserved gene order are homologous in 99% of all cases, while for query-hit pairs without gene order conservation and with different sizes this is only 55%.

conclusionWe have shown that using gene length and gene order drastically improves the detection of homologs within the BLAST gray zone. Our findings suggest that the use of such extrinsic gene properties can also improve the performance of homology detection by more advanced methods, and our study thereby underscores the importance of true data integration for fully exploiting genomic information.

Indexed as

Databases, ProteinSequence Homology, Amino AcidAmino Acid SequenceInformation Storage and RetrievalMolecular Sequence DataProteinsSequence AlignmentSequence Analysis, ProteinProteins

Identifiers

PMID17888146
PMCPMC2048517

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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.