Charles Wei
@rositea.bsky.social
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📥 232
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PhD student at Cambridge | AMR | genomic surveillance | microbiome
Being exposed to the importance and nuances of engagement with the public and patient, policy, and stakeholders at this
@target-amr.bsky.social
conference. More stuff to think about! I presented my work on evaluating genomic surveillance methods for Shigella sonnei.
doi.org/10.64898/202...
add a skeleton here at some point
7 days ago
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It took years after my masters to publish BaGPipe, now it's out! It's a Nextflow pipeline to run end-to-end bacterial GWAS, heavily tested and benchmarked on different datasets, and now in good hands of the Sanger's Pathogen Informatics Team.
link.springer.com/article/10.1...
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BaGPipe: an automated, reproducible, and flexible pipeline for bacterial genome-wide association studies - BMC Microbiology
BMC Microbiology - Microbial genome-wide association studies (GWAS) are crucial for linking genetic variation to phenotypic traits in bacteria. However, current tools often involve complex manual...
https://link.springer.com/article/10.1186/s12866-026-04909-9
16 days ago
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Fantastic conference and science, still super hyped-up on Day 4. Blessed weather as well.
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29 days ago
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Tired of fragmented bacterial GWAS workflows? Try BaGPipe (Bacterial GWAS Pipeline)—a fully automated, flexible Nextflow pipeline integrating Pyseer for streamlined association studies. Reproducible. Scalable. Efficient.
doi.org/10.1101/2025...
#Nextflow
#BacterialGWAS
#AMR
#Bioinformatics
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BaGPipe: an automated, reproducible, and flexible pipeline for bacterial genome-wide association studies
Microbial genome-wide association study (GWAS) tools often require manual data processing steps, lack comprehensive workflows, and are limited by scalability issues, thus hindering the exploration of ...
https://doi.org/10.1101/2025.02.28.640835
about 1 year ago
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reposted by
Charles Wei
Pathogen Dynamics Unit
over 1 year ago
Hello world! After a year in the making, the Pathogen Dynamics Unit is ready to launch! Check out our website (
pdu.gen.cam.ac.uk
) and follow the team (
bsky.app/profile/did:...
) to keep up with the latest from our infectious disease supergroup based at
@geneticscam.bsky.social
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