20 skills found
enormandeau / Stacks WorkflowRADseq workflow using STACKS
thierrygosselin / RadiatorRADseq Data Exploration, Manipulation and Visualization using R
dereneaton / PyradAssembly and analysis of RADseq data sets
pimbongaerts / RadseqCollection of Python scripts for parsing/analyses of RAD-seq data
GGFHF / DdRADseqToolsSoftware package for in silico simulation and testing of double digest RADseq experiments.
tkchafin / ScriptsRandom scripts, mostly for dealing with RADseq data and DNA sequence alignments
alexkychen / AssignPOPPopulation Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.
thierrygosselin / AssignerPopulation assignment analysis using R
darencard / RADpipeDaren's RADseq pipeline. Currently in development.
edgardomortiz / Paralog FinderDetects and blacklists paralog RAD loci analyzed in Stacks or ipyrad, based on the McKinney 2017 method (doi:10.1111/1755-0998.12613)
atcg / ClustOptScripts for the optimization of RADseq clustering thresholds in population genetics
edgardomortiz / FineRADstructure ToolsTools for data conversion and results visualization for fineRADstructure (http://cichlid.gurdon.cam.ac.uk/fineRADstructure.html)
nf-core / RadseqVariant-calling pipeline for Restriction site-associated DNA sequencing (RADseq).
thierrygosselin / Grurgrur: an R package tailored for RADseq data imputations
tkchafin / FragmaticSimple program for in silico restriction digest of genomic sequences, to simulate RAD-family NGS library prep methods
mikesovic / AftrRADAftrRAD is a bioinformatic pipeline for analyzing GBS data such as those generated with RADseq.
tongchf / GmRADgmRAD: an integrated pipeline to call SNP genotypes across a hybrid population for genetic mapping with RADseq data
slambert-git / ExDFOILAutomated, exhaustive application of DFOIL to multi-individual RADseq data using GNU Parallel
bschiffthaler / Nf RadseqNextFlow pipeline for RAD-Seq analyses
pseudogene / RadmapAnalyse RAD-tags and generate the Genetic Map with GWAS
