Literature DB >> 18057021

Assembly reconciliation.

Aleksey V Zimin1, Douglas R Smith, Granger Sutton, James A Yorke.   

Abstract

MOTIVATION: Many genomes are sequenced by a collaboration of several centers, and then each center produces an assembly using their own assembly software. The collaborators then pick the draft assembly that they judge to be the best and the information contained in the other assemblies is usually not used.
METHODS: We have developed a technique that we call assembly reconciliation that can merge draft genome assemblies. It takes one draft assembly, detects apparent errors, and, when possible, patches the problem areas using pieces from alternative draft assemblies. It also closes gaps in places where one of the alternative assemblies has spanned the gap correctly.
RESULTS: Using the Assembly Reconciliation technique, we produced reconciled assemblies of six Drosophila species in collaboration with Agencourt Bioscience and The J. Craig Venter Institute. These assemblies are now the official (CAF1) assemblies used for analysis. We also produced a reconciled assembly of Rhesus Macaque genome, and this assembly is available from our website http://www.genome.umd.edu. AVAILABILITY: The reconciliation software is available for download from http://www.genome.umd.edu/software.htm

Entities:  

Mesh:

Year:  2007        PMID: 18057021     DOI: 10.1093/bioinformatics/btm542

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  31 in total

1.  Hawkeye and AMOS: visualizing and assessing the quality of genome assemblies.

Authors:  Michael C Schatz; Adam M Phillippy; Daniel D Sommer; Arthur L Delcher; Daniela Puiu; Giuseppe Narzisi; Steven L Salzberg; Mihai Pop
Journal:  Brief Bioinform       Date:  2011-12-23       Impact factor: 11.622

2.  Graph accordance of next-generation sequence assemblies.

Authors:  Guohui Yao; Liang Ye; Hongyu Gao; Patrick Minx; Wesley C Warren; George M Weinstock
Journal:  Bioinformatics       Date:  2011-10-23       Impact factor: 6.937

3.  TruSPAdes: barcode assembly of TruSeq synthetic long reads.

Authors:  Anton Bankevich; Pavel A Pevzner
Journal:  Nat Methods       Date:  2016-02-01       Impact factor: 28.547

4.  Genome assembly reborn: recent computational challenges.

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

5.  Identifying wrong assemblies in de novo short read primary sequence assembly contigs.

Authors:  Vandna Chawla; Rajnish Kumar; Ravi Shankar
Journal:  J Biosci       Date:  2016-09       Impact factor: 1.826

6.  A post-assembly genome-improvement toolkit (PAGIT) to obtain annotated genomes from contigs.

Authors:  Martin T Swain; Isheng J Tsai; Samual A Assefa; Chris Newbold; Matthew Berriman; Thomas D Otto
Journal:  Nat Protoc       Date:  2012-06-07       Impact factor: 13.491

7.  Detection and correction of false segmental duplications caused by genome mis-assembly.

Authors:  David R Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2010-03-10       Impact factor: 13.583

8.  Biochemical Properties of α-Amylase from Midgut of Alphitobius diaperinus (Panzer) (Coleoptera: Tenebrionidae) Larvae.

Authors:  W O Cruz; G G C Sinhori; C A R de Lima; E G Pontes
Journal:  Neotrop Entomol       Date:  2018-02-26       Impact factor: 1.434

9.  Myoglobin primary structure reveals multiple convergent transitions to semi-aquatic life in the world's smallest mammalian divers.

Authors:  Kai He; Triston G Eastman; Hannah Czolacz; Shuhao Li; Akio Shinohara; Shin-Ichiro Kawada; Mark S Springer; Michael Berenbrink; Kevin L Campbell
Journal:  Elife       Date:  2021-04-29       Impact factor: 8.140

10.  Stitching gene fragments with a network matching algorithm improves gene assembly for metagenomics.

Authors:  Yu-Wei Wu; Mina Rho; Thomas G Doak; Yuzhen Ye
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

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