Showing posts with label computational science. Show all posts
Showing posts with label computational science. Show all posts

Saturday, November 25, 2023

How the Three dimensional Genome is Being Mapped by Scientists








A team of researchers discuss in this report the computational methods used to determine the three dimensional shape of the genome. They discuss the parallel development of full-genome mapping techniques and advanced computational methods and how these two things come together to create a more complete view of genome structure in the 3D form and how the 3D form relates to the function of the genome.


Article


Zhang, Y., Boninsegna, L., Yang, M. et al. Computational methods for analysing multiscale 3D genome organization. Nat Rev Genet (2023). https://doi.org/10.1038/s41576-023-00638-1

One of the more recent genome modeling platforms

Boninsegna, L., Yildirim, A., Polles, G. et al. Integrative genome modeling platform reveals essentiality of rare contact events in 3D genome organizations. Nat Methods 19, 938–949 (2022). https://doi.org/10.1038/s41592-022-01527-x

Sunday, November 27, 2011

Programming cellular destruction



 

Researchers have successfully created a diagnostic tool that allow cells to determine certain bio-conditions of other cells, and to trigger the destruction of said cell if conditions are met.  Using logic computations with values such as AND, NOT, and the most important, TRUE (as the end process in determining the final outcome), this "computer" network is a major step in proving the validity of targeted single cell diagnostics.  In the article, scientists incoportaed the biological diagnostic tool into cells with the hopes of identifying and triggering the destruction of cancer cells.  The identification process uses the aforementioned computations to discern whether or not the cell meets certain pre-programmed molecular criteria, the combination of multiple positive factor identities (in a five factor profile) equating to a TRUE value.  The process is similar to the method doctors use in diagnosing a disease; the more symptoms and data, the more accurate the diagnosis.