Author

Aaron Weimann

Primary ORCID profile (0000-0003-4597-2471 · 6 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Aaron WeimanniD6 papers · University of Cambridge

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alice C McHardy· 1 shared Alice Carolyn McHardy· 1 shared Andreas Bremges· 1 shared Jeremy Frank· 1 shared Kyra Mooren· 1 shared Phillip B Pope· 1 shared Phillip Byron Pope· 1 shared Sebastian Gil Anthony Konietzny· 1 shared

Activity by Year

2014-2016 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Alice C McHardy

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2 papers

Recent·Most cited

BioinformaticsbioRxivJul 26, 2016

From genomes to phenotypes: Traitar, the microbial trait analyzer

Aaron Weimann, Kyra Mooren, Jeremy Frank…·Alice C McHardy

Traitar assigns microbial phenotypes from genomes, predicting 67 traits and associated protein families using SVMs, and is validated on bacterial genomes and metagenomic data.

DOI 10.1128/msystems.00101-16

bacteria (other)whole-genome sequencing

BioinformaticsBiotechnology for BiofuelsPeer-reviewedSep 9, 2014

Inference of phenotype-defining functional modules of protein families for microbial plant biomass degraders

Sebastian Gil Anthony Konietzny, Phillip Byron Pope, Aaron Weimann, Alice Carolyn McHardy

The paper introduces a computational method to identify functional modules of protein families associated with plant biomass degradation by analyzing co-occurrence patterns in microbial genomes and metagenomes.

DOI 10.1186/s13068-014-0124-8

bacteria (other)metagenomics