Author

Juhani Aakko

Åbo Akademi UniversityORCID 0000-0003-4142-3256Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anne Rokka· 1 shared Arno Hänninen· 1 shared Katri J. OrteiD· 1 shared Laura L Elo· 1 shared Laura L. EloiD· 1 shared Mehrad Mahmoudian· 1 shared Ning WangiD· 1 shared Petri Kouvonen· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

Anne Rokka

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedFeb 17, 2022

Variant calling tool evaluation for variable size indel calling from next generation whole genome and targeted sequencing data

Ning Wang, Vladislav G. Lysenkov, Katri J. Orte…·Laura L. Elo

The paper evaluates variant calling tools for indel detection across different NGS datasets, showing tool and sequencing setting impacts on accuracy.

27 citations

humanwhole-genome sequencing

MicrobiologybioRxivPreprintSep 12, 2018

Data-independent acquisition mass spectrometry enables reproducible characterization of microbiota function

Juhani Aakko, Sami Pietilä, Tomi Suomi…·Laura L Elo

This study introduces data-independent acquisition mass spectrometry for metaproteomics, showing improved reproducibility in characterizing microbial function.

DOI 10.1101/413021

humanmetagenomics