Author

Rahel Paloots

SIB Swiss Institute of BioinformaticsORCID 0000-0003-1239-1689Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Michael BaudisiD· 2 shared Ziying YangiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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 papersCancer Biology

Michael BaudisORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 15, 2024

In Search of the Perfect Model: How Cancer Cell Lines Relate to Native Cancers

Rahel Paloots, Ziying Yang, Michael Baudis

This study compares cancer cell lines to native cancers using CNV profiles and ML to identify cell lines that best represent specific cancer types.

DOI 10.1101/2024.05.15.594310

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsDatabasePeer-reviewedJan 1, 2024

cancercelllines.org - a Novel Resource for Genomic Variants in Cancer Cell Lines

Rahel Paloots, Michael Baudis

The paper introduces cancercelllines.org, a resource curating genomic variants in cancer cell lines, providing copy number and SNV data for over 16,000 cell lines.

2 citations

whole-genome sequencingwhole-exome sequencing

𝕏 PostBluesky