Author

Andressa Fisch

Universidade de São PauloORCID 0000-0002-8380-6565Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Approach:graph neural network· 1 Assay:proteomics· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Beatriz Rossetti FerreiraiD· 3 shared Andrea TalentiiD· 2 shared Chukwunonso EzeasoriD· 2 shared David WraggiD· 2 shared Dennis MuhanguziiD· 2 shared Emmanuel ObishakiniD· 2 shared Isabel Kinney Ferreira de Miranda SantosiD· 2 shared James G. D. PrendergastiD· 2 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Beatriz Rossetti FerreiraORCID

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3 papers

Recent·Most cited

Optical mapping compendium of structural variants across global cattle breeds

Andrea Talenti, Jessica Powell, David Wragg, Maurine C. Chepkwony, Andressa Fisch, Beatriz Rossetti Ferreira, Maria Eugênia Zerlotti Mercadante, Isabel Kinney Ferreira de Miranda Santos, Chukwunonso Ezeasor, Emmanuel Obishakin, Dennis Muhanguzi, Wilson Amanyire, Isaac Silwamba, John Muma, Geoffrey Mainda, , James G. D. Prendergast

This study uses optical mapping to identify structural variants in cattle breeds, providing a database for further genetic and evolutionary studies.

Scientific Data · Oct 13, 2022Peer-reviewedGenomics

A cattle graph genome incorporating global breed diversity

Andrea Talenti, Jessica Powell, Johanneke Dinie Hemmink, Elizabeth A. J. Cook, David Wragg, Siddharth Jayaraman, Edith A. Paxton, Chukwunonso Ezeasor, Emmanuel Obishakin, Ebere Roseann Agusi, Abdulfatai Tijjani, Wilson Amanyire, Dennis Muhanguzi, K. Marshall, Andressa Fisch, , James G. D. Prendergast

The paper creates a graph genome incorporating global cattle diversity, showing it includes more sequence and improves mapping and variant calling.

Nature Communications · Feb 17, 2022Peer-reviewedGenomics

Integral use of immunopeptidomics and immunoinformatics for the characterization of antigen presentation and rational identification of BoLA-DR-presented peptides and epitopes

Andressa Fisch, Birkir Reynisson, Lindert Benedictus, Annalisa Nicastri, Deepali Vasoya, Ivan W. Morrison, Søren Buus, Beatriz Rossetti Ferreira, Isabel Kinney Ferreira de Miranda Santos, Nicola Ternette, Tim Connelley, Morten Nielsen

The paper integrates immunopeptidomics and immunoinformatics to characterize BoLA-DR antigen presentation and identify CD4 T cell epitopes with high predictive accuracy.

The Journal of Immunology · Mar 31, 2021Peer-reviewedBioinformatics