Literature DB >> 10786303

A dataset generator for whole genome shotgun sequencing.

G Myers1.   

Abstract

Simulated data sets have been found to be useful in developing software systems because (1) they allow one to study the effect of a particular phenomenon in isolation, and (2) one has complete information about the true solution against which to measure the results of the software. In developing a software suite for assembling a whole human genome shotgun data set, we have developed a simulator, celsim, that permits one to describe and stochastically generate a target DNA sequence with a variety of repeat structures, to further generate polymorphic variants if desired, and to generate a shotgun data set that might be sampled from the target sequence(s). We have found the tool invaluable and quite powerful, yet the design is extremely simple, employing a special type of stochastic grammar.

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Year:  1999        PMID: 10786303

Source DB:  PubMed          Journal:  Proc Int Conf Intell Syst Mol Biol        ISSN: 1553-0833


  8 in total

1.  In search of lost trajectories: Recovering the diversification of transposable elements.

Authors:  Timothée Flutre; Emmanuelle Permal; Hadi Quesneville
Journal:  Mob Genet Elements       Date:  2011-07-01

Review 2.  A broad survey of DNA sequence data simulation tools.

Authors:  Shatha Alosaimi; Armand Bandiang; Noelle van Biljon; Denis Awany; Prisca K Thami; Milaine S S Tchamga; Anmol Kiran; Olfa Messaoud; Radia Ismaeel Mohammed Hassan; Jacquiline Mugo; Azza Ahmed; Christian D Bope; Imane Allali; Gaston K Mazandu; Nicola J Mulder; Emile R Chimusa
Journal:  Brief Funct Genomics       Date:  2020-01-22       Impact factor: 4.241

Review 3.  A comparison of several algorithms for the single individual SNP haplotyping reconstruction problem.

Authors:  Filippo Geraci
Journal:  Bioinformatics       Date:  2010-07-11       Impact factor: 6.937

4.  Characteristics of 454 pyrosequencing data--enabling realistic simulation with flowsim.

Authors:  Susanne Balzer; Ketil Malde; Anders Lanzén; Animesh Sharma; Inge Jonassen
Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

5.  Grinder: a versatile amplicon and shotgun sequence simulator.

Authors:  Florent E Angly; Dana Willner; Forest Rohwer; Philip Hugenholtz; Gene W Tyson
Journal:  Nucleic Acids Res       Date:  2012-03-19       Impact factor: 16.971

6.  FASTQSim: platform-independent data characterization and in silico read generation for NGS datasets.

Authors:  Anna Shcherbina
Journal:  BMC Res Notes       Date:  2014-08-15

7.  MetaSim: a sequencing simulator for genomics and metagenomics.

Authors:  Daniel C Richter; Felix Ott; Alexander F Auch; Ramona Schmid; Daniel H Huson
Journal:  PLoS One       Date:  2008-10-08       Impact factor: 3.240

Review 8.  Best practices for evaluating single nucleotide variant calling methods for microbial genomics.

Authors:  Nathan D Olson; Steven P Lund; Rebecca E Colman; Jeffrey T Foster; Jason W Sahl; James M Schupp; Paul Keim; Jayne B Morrow; Marc L Salit; Justin M Zook
Journal:  Front Genet       Date:  2015-07-07       Impact factor: 4.599

  8 in total

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