J
J. E. de Souza
Researcher at Federal University of Rio Grande do Norte
Publications - 6
Citations - 198
J. E. de Souza is an academic researcher from Federal University of Rio Grande do Norte. The author has contributed to research in topics: Arapaima gigas & Antigen. The author has an hindex of 4, co-authored 6 publications receiving 185 citations.
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Journal ArticleDOI
Bioinformatics construction of the human cell surfaceome
J. P. C. da Cunha,Pedro A. F. Galante,J. E. de Souza,R. F. de Souza,P. M. Carvalho,Daniel T. Ohara,Ricardo Pereira de Moura,S. M. Oba-Shinja,Suely Kazue Nagahashi Marie,Wilson A. Silva,Rodrigo Oliva Perez,Beatriz Stransky,Martin Pieprzyk,Jordan Moore,Otavia L. Caballero,Joaquim Gama-Rodrigues,Angelita Habr-Gama,Winston Patrick Kuo,A. J. G. Simpson,Anamaria A. Camargo,Lloyd J. Old,S J de Souza +21 more
TL;DR: The genetic diversity of the human cell surfaceome at different levels is explored, including the distribution of polymorphisms, conservation among eukaryotic species, and patterns of gene expression, by integrating expression information from a variety of sources.
Journal ArticleDOI
ExInt: an Exon/Intron database
TL;DR: The Exon/Intron (ExInt) database incorporates information on the exon/intron structure of eukaryotic genes and can be searched by keywords, locus name, NID, accession number or length of the protein.
Journal ArticleDOI
Study of IRF6 and 8q24 region in non‐syndromic oral clefts in the Brazilian population
L. de Souza,Thayne Woycinck Kowalski,Jéssica Tonin Ferrari,Isabella Lopes Monlleó,Erlane Marques Ribeiro,J. E. de Souza,Agnes Cristina Fett-Conte,TK de Araujo,Vera Lúcia Gil-da-Silva-Lopes,Âkc Ribeiro‐dos‐Santos,Seb dos Santos,Têmis Maria Félix +11 more
TL;DR: In this article, the association between non-syndromic oral cleft and variants in IRF6 (rs2235371 and rs642961) and 8q24 region (rs987525) according to the ancestry contribution of the Brazilian population was investigated.
Journal ArticleDOI
pp-Blast: a "pseudo-parallel" Blast
TL;DR: It is proposed here that the cost/benefit ratio of pp-Blast makes it appropriate for large-scale sequence analysis.
Posted ContentDOI
Characterization and analysis of the transcriptome in Arapaima gigas using multi-tissue RNA-sequencing
Dimas Martins,Leonardo Campos,André M. Ribeiro-dos-Santos,Ana Carolina Coelho,Roberta Barroso Cavalcante,P. A. A. Sobrinho,Tetsu Sakamoto,Amanda Ferreira Vidal,G. T. Vinasco-Sandoval,Paulo Pimentel Assumpção,Acad Santos,R. J. S. Dalmolin,S.J. de Souza,S.E.B. Dos Santos,J. E. de Souza +14 more
TL;DR: The aim was to characterize the transcriptome of arapaima in order to shed light on molecular networks contributing to its unique traits, and to generate tissue-specific and sex-biased transcriptome profiles, which will be helpful to understand its molecular biology, evolution, and also guide future functional studies of the aRapaima.