SeqSIMLA statistics

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Citations per year

Citations chart

Popular tool citations

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Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

SeqSIMLA specifications


Unique identifier OMICS_08584
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.5
Stability Stable
Maintained Yes


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Publications for SeqSIMLA

SeqSIMLA in publications

PMCID: 5133518
PMID: 27980639
DOI: 10.1186/s12919-016-0033-x

[…] data for the ceu (utah residents with northern and western european ancestry) and mxl (mexican ancestry in los angeles, california) populations, where each set consists of 10,000 haplotypes. seqsimla [] was used to simulate families and case–control data based on the haplotypes. a total of 50 nuclear families with 3 siblings, where at least one sibling was affected, and 300 cases […]

PMCID: 4540485
PMID: 26284522
DOI: 10.1371/journal.pone.0135681

[…] we generated a population of haplotypes of the four snps based on the haplotype frequencies. consequently, the simulated data had a ld structure similar to real data. the simulation software, seqsimla [], was then used to simulate 1,000 replicates of families with the same family structures to the real data based on the haplotypes. the real trait values were kept in the simulations […]

PMCID: 4277421
PMID: 25541952
DOI: 10.1371/journal.pone.0115971

[…] p-value” is estimated as . this method is referred to as “ada”, because the optimal p-value truncation threshold is driven adaptively according to the data., we generated sequence data with the seqsimla software , which was designed to simulate sequence data for family samples. seqsimla used genome as the default sequence generator that could efficiently simulate sequence data according […]

PMCID: 4171487
PMID: 25244564
DOI: 10.1371/journal.pone.0107800

[…] sizes of regions, 10 kb and 25 kb, were simulated for each simulation replicate. the 10 kb and 25 kb regions had an average of 198 and 512 variants, respectively., we used the simulation software seqsimla to generate family data and disease status based on the sequences generated by cosi. the prevalence model in seqsimla, which is based on a logistic penetrance function with odds ratios […]

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SeqSIMLA institution(s)
Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan

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