Biomedical subjects

F Dorkeld

Publications and source records attributed to F Dorkeld.

5 recordsLinked to original sources

PubMed2000

Atlas of genetics and cytogenetics in oncology and haematology, an interactive database.

The 'Atlas of Genetics and Cytogenetics in Oncology and Haematology' (http://www.infobiogen.fr/services/chromcancer ) is a database devoted to chromosome abnormalities in cancer, cancer-prone diseases and genes involved in cancer. Information presented in each page is concise and updated. This database is made for and by: cytogeneticists, molecular biologists, clinicians in oncology and in haematology, and pathologists, who are encouraged to contribute.

Chromosome Aberrations↗

PubMed1999

A database on cytogenetics in haematology and oncology.

The aim of 'Atlas of Genetics and Cytogenetics in Oncology and Haematology' (http://www.infobiogen.fr/services/chromcancer) is to present summarized information on chromosome abnormalities in cancer, with extensions to genes involved in cancer and to cancer-prone diseases. Information is to be updated. This database is made for and by cytogeneticists, molecular biologists, clinicians in oncology and in haematology, and pathologists.

Chromosome Aberrations↗

PubMed1993

Strong conservation of non-coding sequences during vertebrates evolution: potential involvement in post-transcriptional regulation of gene expression.

Comparison of nucleotide sequences from different classes of vertebrates that diverged more than 300 million years ago, revealed the existence of highly conserved regions (HCRs) with more than 70% similarity over 100 to 1450 nt in non-coding parts of genes. Such a conservation is unexpected because it is much longer and stronger than what is necessary for specifying the binding of a regulatory protein. HCRs are relatively frequent, particularly in genes that are essential to cell life. In multigene families, conserved regions are specific of each isotype and are probably involved in the control of their specific pattern of expression. Studying HCRs distribution within genes showed that functional constraints are generally much stronger in 3'-non-coding regions than in promoters or introns. The 3'-HCRs are particularly A + T-rich and are always located in the transcribed untranslated regions of genes, which suggests that they are involved in post-transcriptional processes. However, current knowledge of mechanisms that regulate mRNA export, localisation, translation, or degradation is not sufficient to explain the strong functional constraints that we have characterised.

Animals↗

PubMed1993

Object-oriented knowledge bases for the analysis of prokaryotic and eukaryotic genomes.

The amount of biological sequences introduced in the general collections, and the growing complexity of the biological knowledge require the construction of models to formalize this knowledge and particularly the relationships between several data types. Two examples of such situations are presented here, they result from the biological research lead in our team in the field of molecular evolution. ColiGene is a modelling of E. coli genetics devoted to the analysis of relationships between genomic sequences and gene expressivity. MultiMap implements a new formalization of genome maps allowing manipulation of "maps of maps" in two species. Application of ColiGene and MultiMap are not restricted to molecular evolution and, for instance, MultiMap offers new capabilities for infering data on a genome from knowledge on another species. This could be essential for many mapping projects (human, mouse but also other mammals like pig). Development and implementation of those models have been done using an object-oriented knowledge base management system (SHIRKA) interfaced with a dedicated genomic data base management system (ACNUC). Graphical interfaces have been designed to give an environment similar to the biological representations used by biologists.

Animals↗

PubMed1993

Building large knowledge bases in molecular biology.

Large scale genome sequencing projects are now producing hugh amounts of data which can be readily stored and managed within data base management systems, and analyzed using dedicated software packages. The results of these analyzes should also be stored with the input DNA sequences. The increasing complexity and size of the objects to be described and managed have led biologists to rely on advanced data models such as the object-oriented model. As a joint effort between our computer science and molecular biology research projects, the knowledge bases we have developed in molecular genetics have shown however that the basic object-oriented model is not fully adapted to the complexity of some biological situations encountered. Advanced descriptive capabilities, provided only by knowledge models originated from the AI field, are required. Composite or evolving objects, multiple viewpoints, constraints, tasks and methods, textual annotations are some examples of such capabilities. They are illustrated by biological situations for which they appeared to be necessary. Supporting powerful reasoning mechanisms (e.g. object classification, constraint propagation or qualitative simulators), they allow the development of large knowledge bases in molecular biology. These knowledge bases are expected to become the adequate support for co-operative distributed research efforts.

Artificial Intelligence↗