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lvclark
polyRAD:Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
Read depth data from genotyping-by-sequencing (GBS) or restriction site-associated DNA sequencing (RAD-seq) are imported and used to make Bayesian probability estimates of genotypes in polyploids or diploids. The genotype probabilities, posterior mean genotypes, or most probable genotypes can then be exported for downstream analysis. 'polyRAD' is described by Clark et al. (2019) <doi:10.1534/g3.118.200913>, and the Hind/He statistic for marker filtering is described by Clark et al. (2022) <doi:10.1186/s12859-022-04635-9>. A variant calling pipeline for highly duplicated genomes is also included and is described by Clark et al. (2020, Version 1) <doi:10.1101/2020.01.11.902890>.
Maintained by Lindsay V. Clark. Last updated 24 days ago.
bioinformaticsdna-sequencinggenotype-likelihoodsgenotyping-by-sequencinghacktoberfestrad-seqrad-sequencingsnp-genotypingcpp
28 stars 6.98 score 85 scripts
bioc
Rbwa:R wrapper for BWA-backtrack and BWA-MEM aligners
Provides an R wrapper for BWA alignment algorithms. Both BWA-backtrack and BWA-MEM are available. Convenience function to build a BWA index from a reference genome is also provided. Currently not supported for Windows machines.
Maintained by Jean-Philippe Fortin. Last updated 5 months ago.
sequencingalignmentbwabwa-memdna-sequencesdna-sequencing
1 stars 4.26 score 10 scripts 1 dependents
cnuge
debar:A Post-Clustering Denoiser for COI-5P Barcode Data
The 'debar' sequence processing pipeline is designed for denoising high throughput sequencing data for the animal DNA barcode marker cytochrome c oxidase I (COI). The package is designed to detect and correct insertion and deletion errors within sequencer outputs. This is accomplished through comparison of input sequences against a profile hidden Markov model (PHMM) using the Viterbi algorithm (for algorithm details see Durbin et al. 1998, ISBN: 9780521629713). Inserted base pairs are removed and deleted base pairs are accounted for through the introduction of a placeholder character. Since the PHMM is a probabilistic representation of the COI barcode, corrections are not always perfect. For this reason 'debar' censors base pairs adjacent to reported indel sites, turning them into placeholder characters (default is 7 base pairs in either direction, this feature can be disabled). Testing has shown that this censorship results in the correct sequence length being restored, and erroneous base pairs being masked the vast majority of the time (>95%).
Maintained by Cameron M. Nugent. Last updated 1 years ago.
bioinformaticsdenoisingdna-barcodingdna-sequencinghidden-markov-modelmachine-learning
1 stars 4.00 score 8 scripts