Literature DB >> 15931688

InSNP: a tool for automated detection and visualization of SNPs and InDels.

Carl Manaster1, Weiyue Zheng, Markus Teuber, Stefan Wächter, Frank Döring, Stefan Schreiber, Jochen Hampe.   

Abstract

Availability of high quality SNP data is a rate-limiting factor in understanding the impact of genetic variability on gene function and phenotype. Although global projects like HAPMAP generate large numbers of SNPs in an even spacing throughout the human genome, many variation studies have a more focused approach: in the follow-up of positional association findings, candidate gene studies, and functional genomics experiments, knowledge of all variations in a limited amount of sequence (e.g., a gene) is needed. This leads to a large number of resequencing experiments, for which there is a surprising lack of analysis software. We have thus developed specialized software (InSNP) for targeted mutation detection and compared its performance to Polyphred and Mutation Surveyor using 28 amplicons. Out of a total of 579 (InSNP), 644 (Polyphred), and 526 (Mutation Surveyor) SNP predictions, 39 SNPs were confirmed by human expert inspection, with five SNPs missed by Polyphred and one missed by InSNP using the default settings. For InDel detection, out of 70 (InSNP), 28 (Polyphred), and 693 (Mutation Surveyor) InDel predictions, two InDels were confirmed by human expert inspection, with one InDel missed by Polyphred. InSNP provides a user-friendly interface with better functionality for mutation detection than general-purpose sequence handling software. It provides similar SNP detection sensitivity and specificity as the public domain and commercial alternatives in the investigated dataset. We hope that InSNP lowers the barriers to the use of automated mutation detection software and aids in the improvement of the efficiency of such experiments. The Windows installer (setup) program and sample datasets are available at www.mucosa.de/insnp/.

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Year:  2005        PMID: 15931688     DOI: 10.1002/humu.20188

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  10 in total

1.  PolyScan: an automatic indel and SNP detection approach to the analysis of human resequencing data.

Authors:  Ken Chen; Michael D McLellan; Li Ding; Michael C Wendl; Yumi Kasai; Richard K Wilson; Elaine R Mardis
Journal:  Genome Res       Date:  2007-04-06       Impact factor: 9.043

2.  Systematic analysis of genetic alterations in tumors using Cancer Genome WorkBench (CGWB).

Authors:  Jinghui Zhang; Richard P Finney; William Rowe; Michael Edmonson; Sei Hoon Yang; Tatiana Dracheva; Jin Jen; Jeffery P Struewing; Kenneth H Buetow
Journal:  Genome Res       Date:  2007-05-24       Impact factor: 9.043

3.  SNPdetector: a software tool for sensitive and accurate SNP detection.

Authors:  Jinghui Zhang; David A Wheeler; Imtiaz Yakub; Sharon Wei; Raman Sood; William Rowe; Paul P Liu; Richard A Gibbs; Kenneth H Buetow
Journal:  PLoS Comput Biol       Date:  2005-10-28       Impact factor: 4.475

4.  SNP-PHAGE--High throughput SNP discovery pipeline.

Authors:  Lakshmi K Matukumalli; John J Grefenstette; David L Hyten; Ik-Young Choi; Perry B Cregan; Curtis P Van Tassell
Journal:  BMC Bioinformatics       Date:  2006-10-23       Impact factor: 3.169

5.  Identification and characterization of two functional variants in the human longevity gene FOXO3.

Authors:  Friederike Flachsbart; Janina Dose; Liljana Gentschew; Claudia Geismann; Amke Caliebe; Carolin Knecht; Marianne Nygaard; Nandini Badarinarayan; Abdou ElSharawy; Sandra May; Anne Luzius; Guillermo G Torres; Marlene Jentzsch; Michael Forster; Robert Häsler; Kathrin Pallauf; Wolfgang Lieb; Céline Derbois; Pilar Galan; Dmitriy Drichel; Alexander Arlt; Andreas Till; Ben Krause-Kyora; Gerald Rimbach; Hélène Blanché; Jean-François Deleuze; Lene Christiansen; Kaare Christensen; Michael Nothnagel; Philip Rosenstiel; Stefan Schreiber; Andre Franke; Susanne Sebens; Almut Nebel
Journal:  Nat Commun       Date:  2017-12-12       Impact factor: 14.919

6.  MouseIndelDB: a database integrating genomic indel polymorphisms that distinguish mouse strains.

Authors:  Keiko Akagi; Robert M Stephens; Jingfeng Li; Evgenji Evdokimov; Michael R Kuehn; Natalia Volfovsky; David E Symer
Journal:  Nucleic Acids Res       Date:  2009-11-20       Impact factor: 16.971

7.  Base-calling algorithm with vocabulary (BCV) method for analyzing population sequencing chromatograms.

Authors:  Yuri S Fantin; Alexey D Neverov; Alexander V Favorov; Maria V Alvarez-Figueroa; Svetlana I Braslavskaya; Maria A Gordukova; Inga V Karandashova; Konstantin V Kuleshov; Anna I Myznikova; Maya S Polishchuk; Denis A Reshetov; Yana A Voiciehovskaya; Andrei A Mironov; Vladimir P Chulanov
Journal:  PLoS One       Date:  2013-01-28       Impact factor: 3.240

8.  SNP discovery via 454 transcriptome sequencing.

Authors:  W Brad Barbazuk; Scott J Emrich; Hsin D Chen; Li Li; Patrick S Schnable
Journal:  Plant J       Date:  2007-07-27       Impact factor: 6.417

9.  Decoding of superimposed traces produced by direct sequencing of heterozygous indels.

Authors:  Dmitry A Dmitriev; Roman A Rakitov
Journal:  PLoS Comput Biol       Date:  2008-07-25       Impact factor: 4.475

10.  AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes.

Authors:  E Dicks; J W Teague; P Stephens; K Raine; A Yates; C Mattocks; P Tarpey; A Butler; A Menzies; D Richardson; A Jenkinson; H Davies; S Edkins; S Forbes; K Gray; C Greenman; R Shepherd; M R Stratton; P A Futreal; R Wooster
Journal:  Bioinformatics       Date:  2007-05-07       Impact factor: 6.937

  10 in total

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