Author

Gustavo Sganzerla Martinez

Dalhousie UniversityORCID 0000-0002-7656-0579Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

David J. KelviniD· 2 shared Aditya Arun KumariD· 1 shared Alyson A. KelviniD· 1 shared Angela L. RasmusseniD· 1 shared Anuj KumariD· 1 shared Cynthia L. SwaniD· 1 shared David H. EvansiD· 1 shared Jason KindrachukiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersMicrobiology

David J. KelvinORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MPXV Clade IIb virus infection in mice leads to prolonged viral replication, macrophage infiltration, and decreased spermatogenesis in the testes.

Cynthia L. Swan, Gustavo Sganzerla Martinez, Mia Madel Alfajaro, Angela L. Rasmussen, David J. Kelvin, David H. Evans, Jason Kindrachuk, Ryan S. Noyce, Alyson A. Kelvin

bioRxiv · Dec 16, 2025 · PreprintMicrobiology

Quantifying the contribution of DNA conformational flexibility to transcription factor binding on nucleosomal DNA uncovers indirect readout across diverse TF families

Upalabdha Dey, Gustavo Sganzerla Martinez, Ravi Kumar, Venkata Rajesh Yella, Aditya Arun Kumar

The paper develops DNAflexpy to quantify DNA conformational flexibility and shows it improves TF binding prediction on nucleosomes, revealing indirect readout mechanisms across TF families.

bioRxiv · May 21, 2025 · PreprintBioinformatics

PoxiPred: An artificial intelligence-based method for the prediction of potential antigens and epitopes to accelerate vaccine development efforts against poxviruses.

Gustavo Sganzerla Martinez, Mansi Dutt, Anuj Kumar, David J. Kelvin

PoxiPred predicts potential antigens and T-cell epitopes for poxviruses using an AI-based tool trained on viral proteomes.

Biology · Feb 17, 2024Peer-reviewedBioinformatics