Command line to pipeLine: Cross-biobank analyses with Nextflow

Biobanks hold immense potential for genomic research, but fragmented data and incompatible tools slow progress. This workshop equipped participants with Nextflow, a powerful workflow language to streamline bioinformatic analyses across biobanks. We taught participants to write code in their preferred language and demonstrated how Nextflow handles the complexities, ensuring consistent, reproducible results across different platforms. This interactive session was ideal for beginner-to-intermediate researchers who want to (1) Leverage biobank data for genomic discoveries, (2) Build portable and scalable analysis pipelines, (3) Ensure reproducibility in their findings, (4) Gain hands-on experience through presentations, demonstrations, tutorials, and discussions with bioinformatics experts.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1142/9789819807024_0050
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Command line to pipeLine: Cross-biobank analyses with Nextflow

Anurag Verma, Katie E. Cardone, Lindsay Guare, Christopher C. Carson et al.
Biomedical Text Mining and Ontologies
article

Command line to pipeLine: Cross-biobank analyses with Nextflow

Anurag Verma, Katie E. Cardone, Lindsay Guare, Christopher C. Carson, Zachary Rodriguez
article en

Abstract

Biobanks hold immense potential for genomic research, but fragmented data and incompatible tools slow progress. This workshop equipped participants with Nextflow, a powerful workflow language to streamline bioinformatic analyses across biobanks. We taught participants to write code in their preferred language and demonstrated how Nextflow handles the complexities, ensuring consistent, reproducible results across different platforms. This interactive session was ideal for beginner-to-intermediate researchers who want to (1) Leverage biobank data for genomic discoveries, (2) Build portable and scalable analysis pipelines, (3) Ensure reproducibility in their findings, (4) Gain hands-on experience through presentations, demonstrations, tutorials, and discussions with bioinformatics experts.

Vol. 30
University of Pennsylvania (US)
Openalex Percentile: Top 81%
Biomedical Text Mining and Ontologies
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