Author

j. l. Wandebergh

The University of Texas Rio Grande Valley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Abigail W. BighamiD· 1 shared Bartolomeu Acioli‐SantosiD· 1 shared Clarice Neuenschwander Lins de MoraisiD· 1 shared Cristiane Campello Bresani-SalviiD· 1 shared Ernesto T. A. MarquesiD· 1 shared Flávio R. S. Oliveira· 1 shared Gladys E. MaestreiD· 1 shared Ulisses Braga-NetoiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperGenetics

Abigail W. BighamORCID

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1 paper

Recent·Most cited

Hypothetical Human Immune Genome Complex Gradient May Help To Explain The Congenital Zika Symdrome Catastrophe In Brazil: A New Theory

Flávio R. S. Oliveira, Cristiane Campello Bresani-Salvi, Clarice Neuenschwander Lins de Morais, Abigail W. Bigham, Ulisses Braga-Neto, Gladys E. Maestre, j. l. Wandebergh, Ernesto T. A. Marques, Bartolomeu Acioli‐Santos

The paper uses machine learning to identify SNVs in immune genes that distinguish sub-Saharan African and Latin American populations, suggesting a genome gradient that may explain the higher incidence of congenital Zika syndrome in Brazil.

bioRxiv · Jun 3, 2020 · PreprintGenetics