A Scalable and Cost‐Effective In‐Line Barcoding Strategy for Standardized 16S rRNA Gene Amplicon Sequencing: Performance Evaluation and Bias Assessment

Lisa Jourdain, Pierre Rossi, Aline Charpagne, Emmanuelle Chevalier, Viviane Praz, Julien Marquis, Johann Weber, Wenyu Gu · 2026

Read A Scalable and Cost‐Effective In‐Line Barcoding Strategy for Standardized 16S rRNA Gene Amplicon Sequencing: Performance Evaluation and Bias Assessment by Lisa Jourdain, Pierre Rossi, Aline Charpagne, Emmanuelle Chevalier, Viviane Praz, Julien Marquis, Johann Weber, Wenyu Gu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13159520.txt.

Description

Lisa Jourdain and seven co-authors present a cheaper way to tag many samples at once for gene sequencing. Their method, from two thousand twenty-six, reads a gene found in all bacteria and archaea. Tagging each sample lets a lab run many samples in one run and still tell them apart.

The team built and tested more than a hundred tagged primer pairs for each group. The tags worked well, with few dropouts and no clear bias in which microbes they found. They picked final sets of ninety-six pairs for each group. They also share their data, code, and a way to check for bias. Labs can use the sets for large studies of microbe life.

Catalog record

CREATORLisa Jourdain, Pierre Rossi, Aline Charpagne, Emmanuelle Chevalier, Viviane Praz, Julien Marquis, Johann Weber, Wenyu Gu
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE60 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13159520

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