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• W4225512846 abstract "Processing and visualising trends in the binary data (presence or absence of electropherogram peaks), obtained from fragment analysis methods in molecular biology, can be a time-consuming and often cumbersome process. Scoring and analysing binary data (from methods, such as AFLPs, ISSRs and RFLPs) entail complex workflows that require a high level of computational and bioinformatic skills. The application presented here (BinMat) is a free, open-source and user-friendly R Shiny programme (https://clarkevansteenderen.shinyapps.io/BINMAT/) that automates the analysis pipeline on one platform. It is also available as an R package on the Comprehensive R Archive Network (CRAN) (https://cran.r-project.org/web/packages/BinMat/index.html). BinMat consolidates replicate sample pairs of binary data into consensus reads, produces summary statistics and allows the user to visualise their data as ordination plots and clustering trees without having to use multiple programmes and input files or rely on previous programming experience." @default.
• W4225512846 created "2022-05-05" @default.
• W4225512846 creator A5018206290 @default.
• W4225512846 date "2022-03-11" @default.
• W4225512846 modified "2023-09-30" @default.
• W4225512846 title "BinMat: A molecular genetics tool for processing binary data obtained from fragment analysis in R" @default.
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• W4225512846 doi "https://doi.org/10.3897/bdj.10.e77875" @default.
• W4225512846 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35437391" @default.
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