Meeting the challenge of genomic analysis: a collaboratively developed workshop for pangenomics and topological data analysis


Por: Contreras-Peruyero H., Guerrero-Flores S., Zirión-Martínez C., Mejía-Ponce P.M., Navarro-Miranda M., Lovaco-Flores J.A., Ibarra-Rodríguez J.M., Pashkov A., Licona-Cassani C., Sélem-Mojica N.

Publicada: 1 ene 2024
Resumen:
Motivation: As genomics data analysis becomes increasingly intricate, researchers face the challenge of mastering various software tools. The rise of Pangenomics analysis, which examines the complete set of genes in a group of genomes, is particularly transformative in understanding genetic diversity. Our interdisciplinary team of biologists and mathematicians developed a short Pangenomics Workshop covering Bash, Python scripting, Pangenome, and Topological Data Analysis. These skills provide deeper insights into genetic variations and their implications in Evolutionary Biology. The workshop uses a Conda environment for reproducibility and accessibility. Developed in The Carpentries Incubator infrastructure, the workshop aims to equip researchers with essential skills for Pangenomics research. By emphasizing the role of a community of practice, this work underscores its significance in empowering multidisciplinary professionals to collaboratively develop training that adheres to best practices. Results: Our workshop delivers tangible outcomes by enhancing the skill sets of Computational Biology professionals. Participants gain hands-on experience using real data from the first described pangenome. We share our paths toward creating an open-source, multidisciplinary, and public resource where learners can develop expertise in Pangenomic Analysis. This initiative goes beyond advancing individual capabilities, aligning with the broader mission of addressing educational needs in Computational Biology. © 2024 The Author(s). Published by Oxford University Press.

Filiaciones:
Contreras-Peruyero H.:
 Centro de Ciencias Matemáticas, UNAM, Antigua Carretera a Pátzcuaro # 8701, Residencial San Joséde la Huerta, Michoacán, Morelia, 58089, Mexico

Guerrero-Flores S.:
 Centro de Ciencias Matemáticas, UNAM, Antigua Carretera a Pátzcuaro # 8701, Residencial San Joséde la Huerta, Michoacán, Morelia, 58089, Mexico

Zirión-Martínez C.:
 School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey, 64849, Mexico

 Biology Department, Duke University, Durham, 27708, NC, United States

Mejía-Ponce P.M.:
 School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey, 64849, Mexico

Navarro-Miranda M.:
 Genetic Engineering, Research and Advanced Studies Center (CINVESTAV-Irapuato), Irapuato, 36824, Mexico

Lovaco-Flores J.A.:
 Genetic Engineering, Research and Advanced Studies Center (CINVESTAV-Irapuato), Irapuato, 36824, Mexico

Ibarra-Rodríguez J.M.:
 C3 Idea, Guanajuato, León, 37500, Mexico

Pashkov A.:
 National School of Higher Studies Morelia, UNAM, Morelia, 58089, Mexico

Licona-Cassani C.:
 School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey, 64849, Mexico

Sélem-Mojica N.:
 Centro de Ciencias Matemáticas, UNAM, Antigua Carretera a Pátzcuaro # 8701, Residencial San Joséde la Huerta, Michoacán, Morelia, 58089, Mexico
ISSN: 26350041
Editorial
Oxford University Press, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
Tipo de documento: Article
Volumen: 4 Número: 1
Páginas:
WOS Id: 001346048800001
ID de PubMed: 39483525
imagen gold, All Open Access; Gold Open Access