1 resultado para genome analysis
em Instituto Politécnico do Porto, Portugal
Filtro por publicador
- Repository Napier (2)
- Aberdeen University (4)
- Aberystwyth University Repository - Reino Unido (3)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (13)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (9)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (26)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (13)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (60)
- Boston University Digital Common (4)
- Brock University, Canada (7)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Cambridge University Engineering Department Publications Database (2)
- CentAUR: Central Archive University of Reading - UK (34)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (51)
- Cochin University of Science & Technology (CUSAT), India (2)
- Collection Of Biostatistics Research Archive (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (8)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (13)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (2)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (31)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (18)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (10)
- Helda - Digital Repository of University of Helsinki (10)
- Indian Institute of Science - Bangalore - Índia (23)
- Institutional Repository of Leibniz University Hannover (2)
- Instituto Gulbenkian de Ciência (1)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico do Porto, Portugal (1)
- National Center for Biotechnology Information - NCBI (78)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (5)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (93)
- Queensland University of Technology - ePrints Archive (202)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (6)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (72)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (2)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (5)
- Universidade Complutense de Madrid (3)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universita di Parma (1)
- Université de Lausanne, Switzerland (19)
- Université de Montréal, Canada (9)
- Université Laval Mémoires et thèses électroniques (1)
- University of Queensland eSpace - Australia (34)
- University of Washington (1)
Resumo:
We describe a novel approach to explore DNA nucleotide sequence data, aiming to produce high-level categorical and structural information about the underlying chromosomes, genomes and species. The article starts by analyzing chromosomal data through histograms using fixed length DNA sequences. After creating the DNA-related histograms, a correlation between pairs of histograms is computed, producing a global correlation matrix. These data are then used as input to several data processing methods for information extraction and tabular/graphical output generation. A set of 18 species is processed and the extensive results reveal that the proposed method is able to generate significant and diversified outputs, in good accordance with current scientific knowledge in domains such as genomics and phylogenetics.