Evidence map›Paper›PMID 15741513›Full record

ArticleGenome research2005

novoSNP, a novel computational tool for sequence variation discovery.

Stefan Weckx, Jurgen Del-Favero, Rosa Rademakers, Lieve Claes, Marc Cruts, Peter De Jonghe, Christine Van Broeckhoven, Peter De Rijk

Abstract read
In one paragraph

Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. TheProceedings of the National Academy of Sciences of the United States of America · 2024
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  20. Pathogens (Basel, Switzerland) · 2022
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50 more citing papers are in PubMed but not listed here.

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

8 authors.

Stefan WeckxDepartment of Molecular Genetics, Flanders Interuniversity Institute for Biotechnology, University of Antwerp, Antwerpen, Belgium.
Jurgen Del-Favero
Rosa Rademakers
Lieve Claes
Marc Cruts
Peter De Jonghe
Christine Van Broeckhoven
Peter De Rijk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological improvements shifted sequencing from low-throughput, work-intensive, gel-based systems to high-throughput capillary systems. This resulted in a broad use of genomic resequencing to identify sequence variations in genes and regulatory, as well as extended genomic regions. We describe a software package, novoSNP, that conscientiously discovers single nucleotide polymorphisms (SNPs) and insertion-deletion polymorphisms (INDELs) in sequence trace files in a fast, reliable, and user-friendly way. We compared the performance of novoSNP with that of PolyPhred and PolyBayes on two data sets. The first data set comprised 1028 sequence trace files obtained from diagnostic mutation analyses of SCN1A (neuronal voltage-gated sodium channel alpha-subunit type I gene). The second data set comprised 9062 sequence trace files from a genomic resequencing project aiming at the construction of a high-density SNP map of MAPT (microtubule-associated protein tau gene). Visual inspection of these data sets had identified 38 sequence variations for SCN1A and 488 for MAPT. novoSNP automatically identified all 38 SCN1A variations including five INDELs, while for MAPT only 15 of the 488 variations were not correctly marked. PolyPhred detected far fewer SNPs as compared to novoSNP and missed nearly all INDELs. PolyBayes, designed for the sequence analysis of cloned templates, detected only a limited number of the variations present in the data set. Besides the significant improvement in the automated detection of sequence variations both in diagnostic mutation analyses and in SNP discovery projects, novoSNP also offers a user-friendly interface for inspecting possible genetic variations.

Indexed as

Polymorphism, Single NucleotideSoftwareAnimalsBase SequenceDNAGenetic VariationGenomicsHumansPolymorphism, GeneticSequence Analysis, DNADNA

Identifiers

PMID15741513
PMCPMC551570

What OpenQuestion holds

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Registered trials

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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.