pooledpeaks

pooledpeaks: Open-Source Fragment Scoring and Analysis Workflow for Population Genetic Analyses of Microsatellite Markers in Pooled Samples - Published in JOSS (2025)

https://github.com/kmkuesters/pooledpeaks

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found 19 DOI reference(s) in README and JOSS metadata
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    Links to: nature.com
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    Published in Journal of Open Source Software

Scientific Fields

Engineering Computer Science - 60% confidence
Last synced: 6 months ago · JSON representation

Repository

The Pooled Peaks Package Developed by the Blanton Lab as part of Kathleen Kuesters' Dissertation

Basic Info
  • Host: GitHub
  • Owner: kmkuesters
  • License: gpl-3.0
  • Language: HTML
  • Default Branch: master
  • Size: 1.91 MB
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Created almost 2 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License

README.md

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Package Overview

pooledpeaks is designed for analyzing genetic data obtained from Fragment Analysis output files (.fsa) of pooled biological samples. It provides functions for a comprehensive analysis pipeline from processing .fsa files, to cleaning the peak data, and conducting population genetic analyses. Some features are listed below and a usage example of the entire pipeline is included as a vignette. Please check out the Contributing Guidelines for information on how to add to this package.

Installation Instructions

You can install the package directly from GitHub using the following instructions:

Open R and copy the following code into your console

Install devtools and pooledpeaks from GitHub

r install.packages("devtools") devtools::install_github("kmkuesters/pooledpeaks")

Install pooledpeaks directly from CRAN

r install.packages("pooledpeaks")

Features

For a detailed example of how to apply the functions contained in this package please see the Introduction to Using the pooledpeaks Workflow. Example data can be found on GitHub under the inst/extdata folder including .fsa files and a formatted "Multiplex_frequencies.txt" file for the Genetic Analysis portion.

  • Peak Scoring: Process .fsa files and score peaks contained therein.

r check_fsa_v_batch() fsa_metadata() fsa_batch_imp() associate_dyes() score_markers_rev3()

  • Data Manipulation: Clean and prepare peak data for downstream analyses.

r clean_scores() lf_to_tdf() data_manipulation() Rep_check() PCDM() LoadData()

  • Population Genetics Analysis:

    • Calculate Gene Identity Matrix and Genetic Distance Matrix
    • Calculate diversity indices
    • Calculate differentiation indices
    • Perform cluster analysis

r TypedLoci() GeneIdentityMatrix() GeneticDistanceMatrix() GST() JostD() cluster()

  • Visualization: Visualize the peak scoring and genetic analysis results.

r MDSplot()

Sample Data

The sample .fsa files included in this package are provided for demonstration purposes and originate from two sources:

  • Schistosoma haematobium laboratory isolates, used for preliminary testing of the pooledpeaks workflow. These data contain no identifiable or human subject information.
  • De-identified Schistosoma mansoni samples from a three studies conducted in Brazil, extracted from discarded human waste. These files were originally used for genetic analysis and are shared here in anonymized form to illustrate compatibility with additional species and data sources.These studies are described in detail by Long et al. (2022), available at https://www.nature.com/articles/s41598-022-04776-0:

These files are intended solely to demonstrate the functionality of the pooledpeaks package and are not for diagnostic or clinical use.To access the example .fsa files included with the package, use the following path within R:

r system.file("extdata", package = "pooledpeaks")

The pooledpeaks package was developed by the Blanton Lab as part of Kathleen Kuesters' dissertation.

References:

Owner

  • Login: kmkuesters
  • Kind: user

JOSS Publication

pooledpeaks: Open-Source Fragment Scoring and Analysis Workflow for Population Genetic Analyses of Microsatellite Markers in Pooled Samples
Published
May 17, 2025
Volume 10, Issue 109, Page 7853
Authors
Kathleen M. Kuesters ORCID
Department of Tropical Medicine and Infectious Disease, Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, LA 70112, United States of America
Jessica M. Blanton ORCID
Department of Tropical Medicine and Infectious Disease, Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, LA 70112, United States of America
Jeffrey D. Kovach ORCID
Case Western Reserve University School of Medicine, Cleveland, OH 44106, United States of America, Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States of America
Walter A. Blank
Independent Researcher, United States of America
Lúcio M. Barbosa ORCID
Bahiana School of Medicine and Public Health, Av. Silveira Martins, n 3386, Salvador, Bahia, 41150-100, Brazil, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Candeal, CEP 40296-710, Salvador, Bahia, Brazil
Luciano K. Silva ORCID
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Candeal, CEP 40296-710, Salvador, Bahia, Brazil
Mitermayer G. Reis ORCID
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Candeal, CEP 40296-710, Salvador, Bahia, Brazil, Faculdade de Medicina, Universidade Federal da Bahia, Praça XV de novembro, s/n - Largo do Terreiro de Jesus, CEP 40026-010, Salvador, Bahia, Brazil, Department of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College St, New Haven, Connecticut, 06510, United States of America
Ronald E. Blanton ORCID
Department of Tropical Medicine and Infectious Disease, Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, LA 70112, United States of America
Editor
Charlotte Soneson ORCID
Tags
population genetics fragment analysis pooled samples .fsa

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Last Year
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Last synced: 6 months ago

All Time
  • Total issues: 0
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  • Average time to close issues: N/A
  • Average time to close pull requests: 3 days
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Past Year
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  • Average time to close issues: N/A
  • Average time to close pull requests: 3 days
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Top Authors
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  • kmkuesters (2)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 571 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
cran.r-project.org: pooledpeaks

Genetic Analysis of Pooled Samples

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 571 Last month
Rankings
Dependent packages count: 28.3%
Dependent repos count: 34.9%
Average: 50.0%
Downloads: 86.7%
Maintainers (1)
Last synced: 6 months ago