| Abstract Detail
Biodiversity Informatics & Herbarium Digitization Wu, Yihan [1], Colautti, Rob [2]. baRcodeR: a R package for reproducible sample collection and tracking. A key step for experimental reproducibility is the acquisition and management of data such as sample collection and tracking in the experimental process. However, open source tools are relatively undeveloped compared to software for data analysis reproducibility. We present the R package baRcodeR (https://github.com/ropensci/baRcodeR) for generating linear and 2D digital identifiers and barcodes in a reproducibile manner. Identifiers can be generated by code in simple sequences (SAMPLE-001, SAMPLE-002) or hierarchical manner with sample populations, subsamples, GPS coordinates or other data (PopA-Ind06-Tissue04). In addition to command line commands, a GUI add-in developed with shiny is available locally with the package install or online at https://bit.ly/baRcodeR.
Log in to add this item to your schedule
Related Links:
Github Link for code
1 - University of British Columbia, Botany, 6270 University Boulevard, Vancouver, BC, V6T 1Z4, Canada
2 - Queen's University, 116 Barrie St, Kingston, ON, K7L 3N6, Canada
Keywords:
reproducibility
R package
software
data collection.
Presentation Type: Poster
Session: P1, Biodiversity Informatics & Herbarium Digitization Posters
Location: Virtual/Virtual
Date: Monday, July 19th, 2021
Time: 5:00 PM(EDT)
Number: P1BI006
Abstract ID:938
Candidate for Awards:None |
