// A new bioinformatics tool has been developed to help the new researchers in proteomics and bioinformatics to carry out the identification of sequences obtained by "de novo" sequencing using the most common mass spectrometry databases. Databases are very complex and contain too much information that is not always enterely used. Thus, UniProt offers extensive information about proteins divided into several subsections: names and origins, attributes of the protein, commentaries, ontology, annotations on the sequence, sequence in fasta format and theoretical properties like length and mass, cro
- Autores: Elias Daura Oller
- Directores de la Tesis: Antoni Romeu (dir. tes.), Oswaldo Trelles (dir. tes.)
- Lectura: En la Universidad Internacional de Andalucía ( España ) en 2009
- Idioma: inglés
- ISBN: 978-84-7993-192-6
- Número de páginas: 19
- Enlaces
- Tesis en acceso abierto en: Repositorio de la UNIA
- Resumen
Investigación dirigida por Antoni Romeu y Oswaldo Trelles. In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set) to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA) and quadratic discriminant analysis (QDA)) to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes.
