2019-05-162019-05-162018-03-01XAVIER JUNIOR, Roberto Brito. Fatores de transcrição em cianobactérias: predição por genômica comparativa. Orientadora: Danielle Costa Carrara Couto. 2018. 46 f. Trabalho de Curso (Bacharelado em Sistema de Informação) – Faculdade de Computação, Instituto de Ciências Exatas e Naturais, Universidade Federal do Pará, Belém, 2018. Disponível em: http://bdm.ufpa.br/jspui/handle/prefix/1338. Acesso em:.http://bdm.ufpa.br/jspui/handle/prefix/1338The advancement of molecular biology in the last decades is available, allowing the creation of databases and analysis tools, with the objective of sequencing genomes and knowing their genes. Transcription factors are a group of genes, and studying them is of great importance for research into the evolutionary history of organisms and their characteristics. As cyanobacteria are an ancient group of bacteria and still little know their transcription factors. In this work, we used a base composed of 52 complete cyanobacterial genomes obtained from non-NCBI, and a base of 1288 putative transcription factors identified from 21 fully sequenced cyanobacteria genomes available without cTFbase database. Several techniques applied to implement an automatic and comprehensive pipelin using a combination of software such as AUGUSTUS and HMMER to discover new transcription factors through prediction by comparative genomics in cyanobacteria that are published in databases public, but are not annotated, helping in the evolutionary analysis of organisms and their characteristics. The pipeline obtained important results in the discovery of transcription factors in new cyanobacteria genomes and in the identification of new transcription factors in 8 cyanobacteria that were not identified by cTFbase.Acesso AbertoCianobactériasFatores de transcriçãoBanco de dados biológicosGenômicaComparativaCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOTrabalho de Curso - Graduação - Monografia