Showing 7 of total 7 results (show query)
bioc
SNPRelate:Parallel Computing Toolset for Relatedness and Principal Component Analysis of SNP Data
Genome-wide association studies (GWAS) are widely used to investigate the genetic basis of diseases and traits, but they pose many computational challenges. We developed an R package SNPRelate to provide a binary format for single-nucleotide polymorphism (SNP) data in GWAS utilizing CoreArray Genomic Data Structure (GDS) data files. The GDS format offers the efficient operations specifically designed for integers with two bits, since a SNP could occupy only two bits. SNPRelate is also designed to accelerate two key computations on SNP data using parallel computing for multi-core symmetric multiprocessing computer architectures: Principal Component Analysis (PCA) and relatedness analysis using Identity-By-Descent measures. The SNP GDS format is also used by the GWASTools package with the support of S4 classes and generic functions. The extended GDS format is implemented in the SeqArray package to support the storage of single nucleotide variations (SNVs), insertion/deletion polymorphism (indel) and structural variation calls in whole-genome and whole-exome variant data.
Maintained by Xiuwen Zheng. Last updated 5 months ago.
infrastructuregeneticsstatisticalmethodprincipalcomponentbioinformaticsgds-formatpcasimdsnpopenblascpp
26.7 match 104 stars 12.69 score 1.6k scripts 18 dependents
magnusdv
ibdsim2:Simulation of Chromosomal Regions Shared by Family Members
Simulation of segments shared identical-by-descent (IBD) by pedigree members. Using sex specific recombination rates along the human genome (Halldorsson et al. (2019) <doi:10.1126/science.aau1043>), phased chromosomes are simulated for all pedigree members. Applications include calculation of realised relatedness coefficients and IBD segment distributions. 'ibdsim2' is part of the 'pedsuite' collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite', including a separate chapter on 'ibdsim2', is available in the book 'Pedigree analysis in R' (Vigeland, 2021, ISBN:9780128244302). A 'Shiny' app for visualising and comparing IBD distributions is available at <https://magnusdv.shinyapps.io/ibdsim2-shiny/>.
Maintained by Magnus Dehli Vigeland. Last updated 15 days ago.
identity-by-descentrelatednesssimulationcpp
16.0 match 5 stars 5.00 score 19 scripts 1 dependents
privefl
bigsnpr:Analysis of Massive SNP Arrays
Easy-to-use, efficient, flexible and scalable tools for analyzing massive SNP arrays. Privé et al. (2018) <doi:10.1093/bioinformatics/bty185>.
Maintained by Florian Privé. Last updated 12 days ago.
big-databioinformaticsmemory-mapped-fileparallel-computingpolygenic-scorespopulation-structure-inferencesnp-datastatistical-methodsopenblaszlibcppopenmp
4.5 match 200 stars 11.44 score 1.5k scripts 3 dependents
bodkan
slendr:A Simulation Framework for Spatiotemporal Population Genetics
A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the 'Python' module 'tskit' by Kelleher et al. (2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.
Maintained by Martin Petr. Last updated 14 days ago.
popgenpopulation-geneticssimulationsspatial-statistics
3.5 match 56 stars 9.15 score 88 scripts
soroushmdg
gwid:Genome-Wide Identity-by-Descent
Methods and tools for the analysis of Genome Wide Identity-by-Descent ('gwid') mapping data, focusing on testing whether there is a higher occurrence of Identity-By-Descent (IBD) segments around potential causal variants in cases compared to controls, which is crucial for identifying rare variants. To enhance its analytical power, 'gwid' incorporates a Sliding Window Approach, allowing for the detection and analysis of signals from multiple Single Nucleotide Polymorphisms (SNPs).
Maintained by Soroush Mahmoudiandehkordi. Last updated 6 months ago.
7.8 match 1 stars 3.60 score 4 scripts
pbourkey
polyqtlR:QTL Analysis in Autopolyploid Bi-Parental F1 Populations
Quantitative trait loci (QTL) analysis and exploration of meiotic patterns in autopolyploid bi-parental F1 populations. For all ploidy levels, identity-by-descent (IBD) probabilities can be estimated. Significance thresholds, exploring QTL allele effects and visualising results are provided. For more background and to reference the package see <doi:10.1093/bioinformatics/btab574>.
Maintained by Peter Bourke. Last updated 1 years ago.
8.2 match 2.30 score 2 scriptsbioc
Pedixplorer:Pedigree Functions
Routines to handle family data with a Pedigree object. The initial purpose was to create correlation structures that describe family relationships such as kinship and identity-by-descent, which can be used to model family data in mixed effects models, such as in the coxme function. Also includes a tool for Pedigree drawing which is focused on producing compact layouts without intervention. Recent additions include utilities to trim the Pedigree object with various criteria, and kinship for the X chromosome.
Maintained by Louis Le Nezet. Last updated 2 days ago.
softwaredatarepresentationgeneticsgraphandnetworkvisualizationkinshippedigree
1.0 match 2 stars 6.08 score 10 scripts