Author

Michelle A. Paz

Graz University of TechnologyORCID 0009-0002-0190-3685Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Andréia S. SouzaiD· 1 shared Camila Ferreira Bannwart CastroiD· 1 shared Celso Teixeira Mendes‐JunioriD· 1 shared Eduardo Antônio DonadiiD· 1 shared Emiliana Weiss· 1 shared Erick C. CastelliiD· 1 shared Heloisa S. AndradeiD· 1 shared Iane de Oliveira Pires PortoiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Andréia S. SouzaORCID

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2 papers

Recent·Most cited

Disregarding multimappers leads to biases in the functional assessment of NGS data

Michelle A. Paz, Sarah Warger, Leila Taher

The paper shows that ignoring multimappers in NGS data leads to biases in functional analysis, particularly affecting transposons and repetitive gene families.

BMC Genomics · May 8, 2024Peer-reviewedGenomics

KIR2DL4 genetic diversity in a Brazilian population sample: implications for transcription regulation and protein diversity in samples with different ancestry backgrounds

Emiliana Weiss, Heloisa S. Andrade, Juliana Rodrigues Lara, Andréia S. Souza, Michelle A. Paz, Thálitta H. A. Lima, Iane de Oliveira Pires Porto, Nayane dos Santos Brito Silva, Camila Ferreira Bannwart Castro, Rejane Maria Tommasini Grotto, Eduardo Antônio Donadi, Celso Teixeira Mendes‐Junior, Erick C. Castelli

The paper characterizes KIR2DL4 genetic diversity in a Brazilian population, identifies new sequences, and shows ancestry influences allele frequencies.

Immunogenetics · Feb 17, 2021Peer-reviewedGenetics