Ma Usa

Aug 30, 2024 | academic.oup.com | Dc Usa |Ma Usa

Risk factors for coronary heart disease define a population at risk. Therapy can be targeted to specific groups at increased risk, with multiple potential forms of preventive interventions. Implementation studies should be used to intervene and lower risk. This can be facilitated by the PRISM Model approach. First barriers to implementation must be studied. Then an intervention study can be initiated, which would be evaluated using the RE-AIM framework.

Jun 19, 2024 | academic.oup.com | Ma Usa |Circadian Disorders

Genome-wide DNA methylation (DNAm) profiling is indispensable for unveiling how DNAm regulates biological pathways and individual phenotypes. However, managing and analyzing extensive DNAm data generated from large cohort studies present computational obstacles. Apache Parquet is a data file format that allows for efficient data storage, retrieval and manipulation, alleviating computational hurdles associated with conventional row-based formats.

May 29, 2024 | academic.oup.com | Ma Usa |Ontario Canada |Vu Thu |Marcy L’Etoile

Lipid nanoparticles (LNPs) are the most widely used vehicles for mRNA vaccine delivery. The structure of the lipids composing the LNPs can have a major impact on the effectiveness of the mRNA payload. Several properties should be optimized to improve delivery and expression including biodegradability, synthetic accessibility and transfection efficiency (TE). To optimize LNPs we developed and tested models that enable the virtual screening of LNPs with high TE.

Feb 24, 2024 | academic.oup.com | Ma Usa |Vienna Biocenter

Genomic intervals are one of the most prevalent data structures in computational genome biology, and used to represent features ranging from genes, to DNA binding sites, to disease variants. Operations on genomic intervals provide a language for asking questions about relationships between features.

Oct 6, 2023 | academic.oup.com | Nordic EMBL Partnership |Camila Miranda |Ma Usa |Geir Kjetil

Gene co-expression measurements are widely used in computational biology to identify coordinated expression patterns across a group of samples. Coordinated expression of genes may indicate that they are controlled by the same transcriptional regulatory program, or involved in common biological processes. Gene co-expression is generally estimated from RNA-Sequencing data, which are commonly normalized to remove technical variability.