Author

Samuel Lampa

Uppsala UniversityORCID 0000-0001-6740-9212Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ola SpjuthiD· 2 shared Adam AmeuriD· 1 shared Alejandra N Gonzalez-BeltraniD· 1 shared Alina PelusoiD· 1 shared Anders O. LarssoniD· 1 shared Andreas KähäriiD· 1 shared Ann‐Christine SyväneniD· 1 shared Antonio RosatoiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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

2 shared papersBioinformatics

Ola SpjuthORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsGigaSciencePeer-reviewedApr 26, 2019

SciPipe - A workflow library for agile development of complex and dynamic bioinformatics pipelines

Samuel Lampa, Martin Dahlö, Jonathan Alvarsson, Ola Spjuth

SciPipe is a workflow library for managing complex and dynamic pipelines in bioinformatics, supporting machine learning tasks with features like branching and dynamic scheduling.

43 citationstop 3%

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

GeneticsEuropean Journal of Human GeneticsPeer-reviewedAug 23, 2017

SweGen: A whole-genome map of genetic variability in a cross-section of the Swedish population

Adam Ameur, Johan Dahlberg, Pall I. Olason…·Ulf B Gyllensten

SweGen provides a high-quality whole-genome map of genetic variation in the Swedish population, useful for clinical genetics and association studies.

209 citationstop 1%

humanwhole-genome sequencing

𝕏 PostBluesky