GSR: Simulator - Wessim

Basic Package Attributes
AttributeValue
Title Wessim
Short Description Whole Exome Sequencing SIMulator
Long Description Wessim is a simulator for a targeted resequencing as generally known as exome sequencing. Wessim basically generates a set of artificial DNA fragments for next generation sequencing (NGS) read simulation. In the targeted resequencing, we constraint the genomic regions that are used to generated DNA fragments to be only a part of the entire genome; they are usually exons and/or a few introns and untranslated regions (UTRs).
Version 1.0
Project Started 2013
Last Release 10 years, 12 months ago
Homepagehttp://sak042.github.io/Wessim/
Citations Kim S, Jeong K, Bafna V, Wessim: a whole-exome sequencing simulator based on in silico exome capture., Bioinformatics, 04-15-2013 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluated06-13-2019 (1766 days ago)
Detailed Attributes
Attribute CategoryAttribute
Target
Type of Simulated DataDiploid DNA Sequence, Haploid DNA Sequence,
Variations
Simulation MethodOther,
Input
Data TypeOther,
File formatOther,
Output
Data TypeGenotype or Sequence,
Sequencing Reads
File FormatFasta or Fastq,
Sample TypeRandom or Independent,
Phenotype
Trait TypeBinary or Qualitative,
DeterminantsEnvironmental Factors,
Evolutionary Features
Demographic
Population Size Changes
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
OtherPhenogenetic, Polygenic background,
InterfaceCommand-line,
Development
Tested PlatformsLinux and Unix,
LanguagePython,
LicenseOther,
GSR CertificationDocumentation, Application,

Number of Primary Citations: 1

Number of Non-Primary Citations: 2

The following 2 publications are selected examples of applications that used Wessim.

2020

Xing Y, Dabney AR, Li X, Wang G, Gill CA, Casola C, SECNVs: A Simulator of Copy Number Variants and Whole-Exome Sequences From Reference Genomes., Front Genet, 02-21-2020 [Abstract]

Yu Z, Du F, Ban R, Zhang Y, SimuSCoP: reliably simulate Illumina sequencing data based on position and context dependent profiles., BMC Bioinformatics, 07-23-2020 [Abstract]


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