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Scalable and interpretable secretion system annotation with Sismis

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.09.675188Source: DataRank Database

Scalable and interpretable secretion system annotation with Sismis is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (10)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

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Authors (5)

Florian Albrecht ORCID,J. Blom ORCID,Johan Henriksson ORCID,Laura M. Carroll ORCID,Martin Larralde ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4414087430

Grant: KAW 2020.0239

Swedish Research Council

Grant: 2023-05212

Swedish Research Council

Grant: 2024-06085

Swedish Research Council

Grant: 2024-03952

Grant: 23 3102 Pj

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/09/09/2025.09.09.675188.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.09.09.675188

repositoryhttps://doi.org/10.1101/2025.09.09.675188

Fields of Study

Cell Image Analysis TechniquesVibrio bacteria research studiesMachine Learning in Bioinformatics

Keywords

SecretionAnnotationScalabilityContext (archaeology)Set (abstract data type)Type three secretion systemBacterial protein