Biomedical subjects

Yves Van De Peer

Publications and source records attributed to Yves Van De Peer.

4 recordsLinked to original sources

PubMed2004

The European ribosomal RNA database.

The European ribosomal RNA database aims to compile all complete or nearly complete ribosomal RNA sequences from both the small (SSU) and large (LSU) ribosomal subunits. All sequences are available in aligned format. Sequence alignment is based on the secondary structure of the molecules, as determined by comparative sequence analysis. Additional information about the sequences, such as taxonomic classification of the organism from which they have been obtained, and literature references are also provided. In order to identify the closest relatives to newly determined sequences, BLAST searches can be performed, after which the best matching sequences are aligned and a phylogenetic tree is inferred. As of 2003, the European ribosomal RNA database is maintained at Ghent University (Belgium). The database can be consulted at http://www.psb.ugent.be/rRNA/.

Animals↗

PubMed2003

AFLPinSilico, simulating AFLP fingerprints.

SUMMARY: A drawback of the Amplified Fragment Length Polymorphism (AFLP) fingerprinting method is the difficulty to correlate the different fragments with their DNA sequence. The AFLPinSilico application presented here simulates AFLP experiments run on either cDNA or genomic sequences, producing virtual fingerprints that allow high throughput identification of AFLP fragments. The program also enables biologists to manage experiments through simulations done beforehand, thereby reducing the number of experiments that have to be run. AFLPinSilico is available through the www or as a stand-alone version, through a command line executable (available upon request, for any platform running PERL).

Algorithms↗

PubMed2003

Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction.

MOTIVATION: Feature subset selection is an important preprocessing step for classification. In biology, where structures or processes are described by a large number of features, the elimination of irrelevant and redundant information in a reasonable amount of time has a number of advantages. It enables the classification system to achieve good or even better solutions with a restricted subset of features, allows for a faster classification, and it helps the human expert focus on a relevant subset of features, hence providing useful biological knowledge. RESULTS: We present a heuristic method based on Estimation of Distribution Algorithms to select relevant subsets of features for splice site prediction in Arabidopsis thaliana. We show that this method performs a fast detection of relevant feature subsets using the technique of constrained feature subsets. Compared to the traditional greedy methods the gain in speed can be up to one order of magnitude, with results being comparable or even better than the greedy methods. This makes it a very practical solution for classification tasks that can be solved using a relatively small amount of discriminative features (or feature dependencies), but where the initial set of potential discriminative features is rather large.

Algorithms↗

PubMed2002

The automatic detection of homologous regions (ADHoRe) and its application to microcolinearity between Arabidopsis and rice.

It is expected that one of the merits of comparative genomics lies in the transfer of structural and functional information from one genome to another. This is based on the observation that, although the number of chromosomal rearrangements that occur in genomes is extensive, different species still exhibit a certain degree of conservation regarding gene content and gene order. It is in this respect that we have developed a new software tool for the Automatic Detection of Homologous Regions (ADHoRe). ADHoRe was primarily developed to find large regions of microcolinearity, taking into account different types of microrearrangements such as tandem duplications, gene loss and translocations, and inversions. Such rearrangements often complicate the detection of colinearity, in particular when comparing more anciently diverged species. Application of ADHoRe to the complete genome of Arabidopsis and a large collection of concatenated rice BACs yields more than 20 regions showing statistically significant microcolinearity between both plant species. These regions comprise from 4 up to 11 conserved homologous gene pairs. We predict the number of homologous regions and the extent of microcolinearity to increase significantly once better annotations of the rice genome become available.

Arabidopsis↗