Author

Anders O. Larsson

Uppsala UniversityORCID 0000-0002-2096-8102Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Research Focus:benchmarking· 2 Assay:metabolomics· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Ola SpjuthiD· 4 shared Christoph RuttkiesiD· 3 shared Daniel SchoberiD· 3 shared David JohnsoniD· 3 shared Luca PiredduiD· 3 shared Namrata KaleiD· 3 shared Pablo A MorenoiD· 3 shared Philippe Rocca‐SerraiD· 3 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersBioinformatics

Ola SpjuthORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintFeb 5, 2025

High-content morphological profiling by Cell Painting in 3D spheroids.

Christa Ringers, David Holmberg, Åsmund Flobak…·Ola Spjuth

This paper introduces a method to apply Cell Painting to 3D spheroids for morphological profiling, detecting phenotypic changes in colorectal cancer cells under compound treatments.

5 citations

humanimaging

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMar 8, 2019

Interoperable and scalable data analysis with microservices: Applications in Metabolomics

Payam Emami Khoonsari, Pablo A Moreno, Sven Bergmann…·Ola Spjuth

The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.

30 citationstop 4%

metabolomicsexperimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 12, 2019

Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud

Pablo A Moreno, Luca Pireddu, Pierrick Roger…·Steffen Neumann

This paper integrates Galaxy with Kubernetes to enable scalable, cloud-agnostic bioinformatics workflows.

18 citations

experimental assaysoftware / tool

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedDec 7, 2018

PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

Kristian Peters, James Bradbury, Sven Bergmann…·Christoph Steinbeck

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

150 citationstop 1%

metabolomicsstatistical model

𝕏 PostBluesky