Scheila de Avila e Silva

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BacPP: bacterial promoter prediction--a tool for accurate sigma-factor specific assignment in enterobacteria.

Scheila de Avila e Silva, S. Echeverrigaray, G. Gerhardt, 2011, Journal of theoretical biology.

DNA duplex stability as discriminative characteristic for Escherichia coli σ(54)- and σ(28)- dependent promoter sequences.

Tahila Andrighetti, T. Andrighetti, Scheila de Avila e Silva, 2014, Biologicals : journal of the International Association of Biological Standardization.

Analysis of the nucleotide content of Escherichia coli promoter sequences related to the alternative sigma factors

Andre Gustavo Adami, Daniel Luis Notari, Scheila de Avila e Silva, 2018, Journal of molecular recognition : JMR.

Taxonomy, comparative genomics and evolutionary insights of Penicillium ucsense: a novel species in series Oxalica

J. Houbraken, Myung-soo Park, Y. Lim, 2022, Antonie van Leeuwenhoek.

Gene Regulatory Networks of Penicillium echinulatum 2HH and Penicillium oxalicum 114-2 Inferred by a Computational Biology Approach

E. Balbinot, E. Pérez-Rueda, M. Camassola, 2020, Frontiers in Microbiology.

Machine learning and statistics shape a novel path in archaeal promoter annotation

E. Pérez-Rueda, Aditya Kumar, Scheila de Avila e Silva, 2022, BMC Bioinformatics.

Gene expression analysis in cervical cancer progression: Towards unveiling alterations from normal to tumoral tissue

Scheila de Avila e Silva, I. Sartor, J. Brollo, 2022, Human Gene.

An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients

A. Avery, Scheila de Avila e Silva, I. Martín-Loeches, 2022, PeerJ.

Toward Algorithms for Automation of Postgenomic Data Analyses: Bacillus subtilis Promoter Prediction with Artificial Neural Network.

Rafael Vieira Coelho, Sergio Echeverrigaray, Gabriel Dall'Alba, 2020, Omics : a journal of integrative biology.

Biotechnology and its Applications for Penicillium echinulatum: a Systematic Review

Scheila de Avila e Silva, Alexandre Rafael Lenz, Nikael Souza de Oliveira, 2022, Ensaios e Ciência C Biológicas Agrárias e da Saúde.

Triplet entropy analysis of hemagglutinin and neuraminidase sequences measures influenza virus phylodynamics.

T. Andrighetti, Scheila de Avila e Silva, S. Echeverrigaray, 2013, Gene.

Analysis of Carbohydrate-Active Enzymes and Sugar Transporters in Penicillium echinulatum: a Genome-wide Comparative Study of the Fungal Lignocellulolytic System.

E. Pérez-Rueda, M. Camassola, Scheila de Avila e Silva, 2022, Gene.

A Survey of Biological Data in a Big Data Perspective

Daniel Luis Notari, Scheila de Avila e Silva, Pedro Lenz Casa, 2022, Big Data.

Explainable artificial intelligence as a reliable annotator of archaeal promoter regions

E. Pérez-Rueda, Aditya Kumar, Scheila de Avila e Silva, 2023, Scientific Reports.

Characterization of promoters in archaeal genomes based on DNA structural parameters

E. Pérez-Rueda, Aditya Kumar, Scheila de Avila e Silva, 2021, MicrobiologyOpen.

Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters

Scheila de Avila e Silva, S. Echeverrigaray, G. Gerhardt, 2011, Genetics and molecular biology.

Beyond consensual motifs: an analysis of DNA curvature within Escherichia coli promoters

Scheila de Avila e Silva, Pedro Lenz Casa, Fernanda Pessi de Abreu, 2022, Biologia.

DNA structural and physical properties reveal peculiarities in promoter sequences of the bacterium Escherichia coli K-12

E. Pérez-Rueda, Aditya Kumar, Scheila de Avila e Silva, 2021, SN Applied Sciences.

Computational Environment for Genomic Sequencing and Annotation: a workflow for application in projects by life researchers

Scheila de Avila e Silva, Alexandre Rafael Lenz, Matheus Pedron Cassol, 2022, Revista de Ciencia y Tecnología.

Bacterial Promoter Features Description and Their Application on E. coli in silico Prediction and Recognition Approaches

Scheila de Avila e Silva, Sergio Echeverrigaray, Scheila de Avila e Silva, 2012 .

Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters

Scheila de Avila e Silva, S. Echeverrigaray, G. Gerhardt, 2011, Genetics and Molecular Biology.

BacPP: bacterial promoter prediction--a tool for accurate sigma-factor specific assignment in enterobacteria.

Scheila de Avila e Silva, S. Echeverrigaray, G. Gerhardt, 2011, Journal of theoretical biology.