Author

Claes Wadelius

Uppsala UniversityORCID 0000-0002-2033-7829Unclaimed 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

Organism:human· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Assay:ChIP-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Husen Muhammad UmeriD· 2 shared Jan KomorowskiiD· 2 shared Abdullah KahramaniD· 1 shared Abel González-PéreziD· 1 shared Alva AnnettiD· 1 shared Amanda RaineiD· 1 shared Anders LundmarkiD· 1 shared André KahlesiD· 1 shared

Activity by Year

2017-2022 · 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 papersGenomics

Husen Muhammad UmerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

scSPLAT, a scalable plate-based protocol for single cell WGBS library preparation

Amanda Raine, Anders Lundmark, Alva Annett, Ann-Christin Wiman, Marco Cavalli, Claes Wadelius, Claudia Bergin, Jessica Nordlund

scSPLAT improves single-cell WGBS library preparation by increasing scalability and read alignment rates compared to existing methods.

Scientific Reports · Apr 6, 2022Peer-reviewedGenomics

funMotifs: Tissue-specific transcription factor motifs

Husen Muhammad Umer, Karolina Smolinska Garbulowska, Nour‐Al‐Dain Marzouka, Zeeshan Khaliq, Claes Wadelius, Jan Komorowski

The paper introduces funMotifs, a framework to identify tissue-specific functional transcription factor motifs using genomic annotations and regulatory element activity scores, enabling variant analysis across multiple datasets.

bioRxiv · Jun 27, 2019 · PreprintGenomics

Discovery and characterization of coding and non-coding driver mutations in more than 2,500 whole cancer genomes

Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Grace Tiao, Henrik Hornshøj, Julian M. Hess, Randi Istrup Pedersen, Lars Feuerbach, Radhakrishnan Sabarinathan, Tobias Lynge Madsen, Jaegil Kim, Loris Mularoni, Shimin Shuai, Andrés Lanzós, Carl Herrmann, , Gad A. Getz

The paper identifies and characterizes coding and non-coding driver mutations across 2,500 cancer genomes, revealing new candidates and questioning previous findings.

bioRxiv · Dec 23, 2017 · PreprintGenomics