Go to:
Logótipo
Você está em: Start > Publications > View > ADOPS - Automatic Detection Of Positively Selected Sites
Publication

ADOPS - Automatic Detection Of Positively Selected Sites

Title
ADOPS - Automatic Detection Of Positively Selected Sites
Type
Article in International Scientific Journal
Year
2012
Authors
Reboiro-Jato, D
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Reboiro-Jato, M
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Fdez-Riverola, F
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Vieira, CP
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Nuno A Fonseca
(Author)
FCUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Vieira, J
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Other information
Authenticus ID: P-00N-J68
Abstract (EN): <jats:title>Summary</jats:title><jats:p>Maximum-likelihood methods based on models of codon substitution have been widely used to infer positively selected amino acid sites that are responsible for adaptive changes. Nevertheless, in order to use such an approach, software applications are required to align protein and DNA sequences, infer a phylogenetic tree and run the maximum-likelihood models. Therefore, a significant effort is made in order to prepare input files for the different software applications and in the analysis of the output of every analysis. In this paper we present the ADOPS (Automatic Detection Of Positively Selected Sites) software. It was developed with the goal of providing an automatic and flexible tool for detecting positively selected sites given a set of unaligned nucleotide sequence data. An example of the usefulness of such a pipeline is given by showing, under different conditions, positively selected amino acid sites in a set of 54 Coffea putative S-RNase sequences. ADOPS software is freely available and can be downloaded from http://sing.ei.uvigo.es/ADOPS.</jats:p>
Language: English
Type (Professor's evaluation): Scientific
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same journal

Improving the performance of Transposable Elements detection tools (2013)
Article in International Scientific Journal
Loureiro, T; Rui Camacho; Vieira, J; Nuno A Fonseca
Computational approaches to standard-compliant biofilm data for reliable analysis and integration (2012)
Article in International Scientific Journal
Ana Margarida Sousa; Andreia Ferreira; Nuno F. Azevedo; Maria Olívia Pereira; Anália Lourenço
An harmonised vocabulary for communicating and interchanging biofilms experimental results (2014)
Article in International Scientific Journal
Ana Margarida Sousa; Maria Olívia Pereira; Nuno F. Azevedo; Anália Lourenço
A relational learning approach to Structure-Activity Relationships in drug design toxicity studies. (2011)
Article in International Scientific Journal
Rui Camacho; Max Pereira; Vítor Santos Costa; Nuno A. Fonseca; Carlos Adriano; Carlos J. V. Simões ; Rui M. M. Brito
Recommend this page Top
Copyright 1996-2025 © Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z  I Guest Book
Page created on: 2025-06-23 at 13:21:10 | Acceptable Use Policy | Data Protection Policy | Complaint Portal