Author

Lucas Caldi Gomes

Technical University of MunichORCID 0000-0003-4959-2169Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Christine CarapitoiD· 2 shared Marie GébeliniD· 2 shared Paul LingoriD· 2 shared Antonia Franziska DemleitneriD· 1 shared Claudia DufkeiD· 1 shared Constantin Holzapfel· 1 shared Dieter EdbaueriD· 1 shared Emma Sudrià-LopeziD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Christine CarapitoORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedDec 26, 2023

msqrob2PTM: differential abundance and differential usage analysis of MS-based proteomics data at the post-translational modification and peptidoform level

Nina Demeulemeester, Marie Gébelin, Lucas Caldi Gomes…·Lieven Clement

The paper introduces msqrob2PTM, a workflow for differential abundance and usage analysis of PTMs and peptidoforms in proteomics data, showing it performs on par or better than existing methods.

16 citations

proteomicsstatistical model

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NeurosciencebioRxivPreprintAug 14, 2023

Multiomic ALS signatures highlight sex differences and molecular subclusters and identify the MAPK pathway as therapeutic target

Lucas Caldi Gomes, Sonja Hänzelmann, Fabian Hausmann…·Paul Lingor

The paper performs a multiomic analysis of ALS patients and mouse models to identify sex differences, molecular subclusters, and the MAPK pathway as a therapeutic target.

3 citations

humanmouse

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