Literature DB >> 15952874

A tool for analyzing mate pairs in assemblies (TAMPA).

Ian M Dew1, Brian Walenz, Granger Sutton.   

Abstract

The current generation of genome assembly programs uses distance and orientation relationships of paired end reads of clones (mate pairs) to order and orient contigs. Mate pair data can also be used to evaluate and compare assemblies after the fact. Earlier work employed a simple heuristic to detect assembly problems by scanning across an assembly to locate peak concentrations of unsatisfied mate pairs. TAMPA is a novel, computational geometry-based approach to detecting assembly breakpoints by exploiting constraints that mate pairs impose on each other. The method can be used to improve assemblies and determine which of two assemblies is correct in the case of sequence disagreement. Results from several human genome assemblies are presented.

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Year:  2005        PMID: 15952874     DOI: 10.1089/cmb.2005.12.497

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  10 in total

1.  Discovery of mutations in Saccharomyces cerevisiae by pooled linkage analysis and whole-genome sequencing.

Authors:  Shanda R Birkeland; Natsuko Jin; Alev Cagla Ozdemir; Robert H Lyons; Lois S Weisman; Thomas E Wilson
Journal:  Genetics       Date:  2010-10-05       Impact factor: 4.562

2.  Genome assembly quality: assessment and improvement using the neutral indel model.

Authors:  Stephen Meader; LaDeana W Hillier; Devin Locke; Chris P Ponting; Gerton Lunter
Journal:  Genome Res       Date:  2010-03-19       Impact factor: 9.043

3.  Genome assembly reborn: recent computational challenges.

Authors:  Mihai Pop
Journal:  Brief Bioinform       Date:  2009-05-29       Impact factor: 11.622

4.  Extensive variation between inbred mouse strains due to endogenous L1 retrotransposition.

Authors:  Keiko Akagi; Jingfeng Li; Robert M Stephens; Natalia Volfovsky; David E Symer
Journal:  Genome Res       Date:  2008-04-01       Impact factor: 9.043

5.  Combinatorial algorithms for structural variation detection in high-throughput sequenced genomes.

Authors:  Fereydoun Hormozdiari; Can Alkan; Evan E Eichler; S Cenk Sahinalp
Journal:  Genome Res       Date:  2009-05-15       Impact factor: 9.043

6.  The diploid genome sequence of an individual human.

Authors:  Samuel Levy; Granger Sutton; Pauline C Ng; Lars Feuk; Aaron L Halpern; Brian P Walenz; Nelson Axelrod; Jiaqi Huang; Ewen F Kirkness; Gennady Denisov; Yuan Lin; Jeffrey R MacDonald; Andy Wing Chun Pang; Mary Shago; Timothy B Stockwell; Alexia Tsiamouri; Vineet Bafna; Vikas Bansal; Saul A Kravitz; Dana A Busam; Karen Y Beeson; Tina C McIntosh; Karin A Remington; Josep F Abril; John Gill; Jon Borman; Yu-Hui Rogers; Marvin E Frazier; Stephen W Scherer; Robert L Strausberg; J Craig Venter
Journal:  PLoS Biol       Date:  2007-09-04       Impact factor: 8.029

7.  Unraveling overlapping deletions by agglomerative clustering.

Authors:  Roland Wittler
Journal:  BMC Genomics       Date:  2013-01-21       Impact factor: 3.969

8.  The HuRef Browser: a web resource for individual human genomics.

Authors:  Nelson Axelrod; Yuan Lin; Pauline C Ng; Timothy B Stockwell; Jonathan Crabtree; Jiaqi Huang; Ewen Kirkness; Robert L Strausberg; Marvin E Frazier; J Craig Venter; Saul Kravitz; Samuel Levy
Journal:  Nucleic Acids Res       Date:  2008-11-26       Impact factor: 16.971

9.  Hawkeye: an interactive visual analytics tool for genome assemblies.

Authors:  Michael C Schatz; Adam M Phillippy; Ben Shneiderman; Steven L Salzberg
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  Genome assembly forensics: finding the elusive mis-assembly.

Authors:  Adam M Phillippy; Michael C Schatz; Mihai Pop
Journal:  Genome Biol       Date:  2008-03-14       Impact factor: 13.583

  10 in total

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