Biomedical subjects

Ronald C Taylor

Publications and source records attributed to Ronald C Taylor.

3 recordsLinked to original sources

PubMed2006

SEBINI: Software Environment for BIological Network Inference.

UNLABELLED: The Software Environment for BIological Network Inference (SEBINI) has been created to provide an interactive environment for the deployment and evaluation of algorithms used to reconstruct the structure of biological regulatory and interaction networks. SEBINI can be used to compare and train network inference methods on artificial networks and simulated gene expression perturbation data. It also allows the analysis within the same framework of experimental high-throughput expression data using the suite of (trained) inference methods; hence SEBINI should be useful to software developers wishing to evaluate, compare, refine or combine inference techniques, and to bioinformaticians analyzing experimental data. SEBINI provides a platform that aids in more accurate reconstruction of biological networks, with less effort, in less time. AVAILABILITY: A demonstration website is located at https://www.emsl.pnl.gov/NIT/NIT.html. The Java source code and PostgreSQL database schema are available freely for non-commercial use.

Algorithms↗

PubMed2006

Development of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE).

We describe the creation process of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE). Modeled after the existing minimum information specification for microarray data, we created a new specification for gene expression localization experiments, initially to facilitate data sharing within a consortium. After successful use within the consortium, the specification was circulated to members of the wider biomedical research community for comment and refinement. After a period of acquiring many new suggested requirements, it was necessary to enter a final phase of excluding those requirements that were deemed inappropriate as a minimum requirement for all experiments. The full specification will soon be published as a version 1.0 proposal to the community, upon which a more full discussion must take place so that the final specification may be achieved with the involvement of the whole community.

Computational Biology↗

PubMed2002

The frameshift signal of HIV-1 involves a potential intramolecular triplex RNA structure.

The cis-acting mRNA elements that promote programmed -1 ribosomal frameshifting present a natural target for the rational design of antiretroviral chemotherapies. It has been commonly accepted that the HIV-1 frameshifting signal is special, because its downstream enhancer element consists of a simple mRNA stem loop rather than a more complex secondary structure such as a pseudoknot. Here we present three lines of evidence, bioinformatic, structural, and genetic, showing that the biologically relevant HIV-1 frameshift signal contains a complex RNA structure that likely includes an extended RNA triple-helix region. We suggest that the potential intramolecular triplex structure is essential for viral propagation and viability, and that small molecules targeted to this RNA structure may possess antiretroviral activities.

Anti-HIV Agents↗