Author

Alexander Krasnitz

Cold Spring Harbor LaboratoryORCID 0000-0002-9465-0308Unclaimed ORCID profile · follow to get notified of new preprints

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Alexander Krasnitz2 papers

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:whole-exome sequencing· 3 Assay:bulk RNA-seq· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Astrid DeschênesiD· 3 shared Pascal BelleauiD· 3 shared Nyasha ChambweiD· 2 shared Aaron NizamiD· 1 shared Ali OkuiD· 1 shared Andrew L. AraneoiD· 1 shared Arisa KapedaniiD· 1 shared Brian YuehiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Astrid DeschênesORCID

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3 papers

Recent·Most cited

A versatile set of computational tools for inference of genetic ancestry from human molecular data

Pascal Belleau, Xintong Li, Astrid Deschênes, Laine Marrah, Alexander Krasnitz

The paper introduces RAIDS, a toolset for inferring genetic ancestry from various sequence data, including cancer and low-coverage scenarios.

bioRxiv · Oct 13, 2026 · PreprintBioinformatics

Comprehensive Molecular Characterization of High-Grade Endometrial Cancer in an Ancestrally-Diverse Cohort

Marina Frimer, Devin A. Gee, Zoe R. Goldstein, William F. Hooper, Kyriaki Founta, Astrid Deschênes, Heather M. Geiger, Pascal Belleau, Melissa Kramer, Brian Yueh, Timothy R. Chu, Ali Oku, Zalman Vaksman, Valentina Grether, Zoe Steinsnyder, , Nyasha Chambwe

This study characterizes the molecular differences in high-grade endometrial cancer across an ancestrally diverse cohort, identifying ancestry-associated mutations and immune microenvironment differences.

bioRxiv · May 5, 2026 · PreprintCancer Biology

Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms

Pascal Belleau, Astrid Deschênes, Nyasha Chambwe, David Arthur Tuveson, Alexander Krasnitz

This study develops a data synthesis framework to accurately infer genetic ancestry from cancer-derived molecular data across genomic platforms, showing high accuracy across different sequencing depths and modalities.

Cancer Research · Nov 9, 2022Peer-reviewedBioinformatics