RNA and Transcriptomics

RNA and Transcriptomics 
TR01 Ana Beatriz Oliveira Villela Silva Automatic identification of lncRNA transcripts using Artificial Neural Networks
TR02 André Ricardo Oliveira Conson De novo assembly and transcriptome analysis of Helicoverpa armigera feeding on natural conditions
TR03 Aruana F F Hansel Frose Identification of alternative splice variants in the transcriptome of  Squamous Cell Carcinoma of the Cervix and Adenocarcinoma of the Cervix
TR04 Beatriz Miranda Exploring lncRNAS in Alzheimer's Disease
TR05 Bidossessi Wilfried Hounkpe Correlation of shared transcriptomic signature between Sickle Cell Disease and Acute Myocardial Infarction patients with Sickle Cell Disease severity
TR06 Daniel Andrade Moreira Alternative spliced leader trans-splicing patterns among developmental stages of the flatworm Schistosoma mansoni
TR07 Cristóvão Antunes de Lanna Transcriptomics approach to identify subtype-specific candidate genes and associated drugs for new therapies in colorectal cancer
TR08 Fabiana Marcelino Meliso The exon-Junction Complex Proteins MAGOH and MAGOHB are pro-tumorigenic factors in glioblastoma
TR09 Felipe Caixeta Moreira Using macrophage genes expression to build and validate a molecular model of host-parasite interaction
TR10 Flavia Regina Florencio de Athayde Analysis of long Non-Coding RNAs from RNA-seq Data of Leishmania-Infected Human Macrophages
TR11 Gabriela Der Agopian Guardia Gender-based differences in gene expression and alternative splicing profiles of glioma patients
TR12 Helena Beatriz da Conceicao Human Retrocopies and Genetic Expression in Tumor and Normal Tissues
TR13 Isabela Pimentel de Almeida RNA-Seq of endogenous human stem cells and tumors to identify cancer-specific therapeutic targets
TR14 Jéssica Gonçalves Vieira da Cruz Circulating miRNAs can affect the melanoma microenvironment and outcome
TR15 João Paulo Pereira de Almeida Characterization of the virome in mosquitoes using a small RNA-based approach
TR16 José Luiz Rybarczyk Filho Neuroblastoma Meta-Analysis for Gene Characterization of INSS Stages
TR17 Juliana Armache Characterizing the global virome of Apis mellifera using a small RNA-based approach
TR18 Lissur Azevedo Orsine A machine learning approach to brain region classification
TR19 Lucas Ferreira Maciel Long non-coding RNAs potentially involved with Schistosoma japonicum sexual maturation
TR21 Lucio Rezende Queiroz lncRNAs modulated in response to metformin treatment
TR22 Maíra Pompeu Martins Nitrogen catabolite repression in Trichophyton rubrum during the adaptive process to host molecules
TR23 Maira Rodrigues de Camargo Neves The importance of long genes in the gene expression of cells affected by Cockayne syndrome
TR24 Marcelo Mendes Brandão Role of DIMBOA in the fall-armyworm strain diversification inferred with transcriptome differential co-expression
TR25 Marco Lázaro de Sousa Batista The CD90/Thy1 in Triple Negative Breast Cancer: associations by bioinformatics between dysregulated genes and Signaling Pathways
TR26 Maria Fernanda Silva Lopes Alterations in whole blood long non-coding RNA expression following Chikungunya viral infection
TR27 Marina Pupke Marone Unearthing Agave secrets: transcriptome analysis of three species suitable for bioenergy production in semiarid regions
TR28 Natália Francisco Scaramele Differences in long non-coding RNA expression in Localized Cutaneous and Mucosal Leishmaniasis
TR29 Nayara Toledo Impact of differentially alternative spliced transcripts on proteome of mice infected with different strains of Trypanosoma cruzi
TR30 Pedro Gabriel Nachtigall CodAn: predictive models for the characterization of mRNA Transcripts
TR31 Ricardo Piuco piRNAs expression profiles: Estimates and insights found in four human tumor tissues
TR32 Vanessa Galdeno Freitas Circular RNAs contribute to tumorigenesis and tumor progression in colorectal cancer
TR33 Victor Mello The effect of genetic diversity in differential gene expression analyses using RNA-Seq data
TR34 Vinicius da Silva Coutinho Parreira Identification of alternative splicing variants that are susceptible to NMD pathway by a bioinformatic approach