Maurice Ling's Laboratory
Welcome to my virtual laboratory web-enabled application site.
Summary of research interest: My research interest lies in the interdisciplinary area of biology, computer science, and statistics - currently known as bioinformatics - looking at how can computer (information) science and statistics help us unravel the mysteries of biology. On the biological side, I am interested in genomics (DNA fingerprinting, gene pool evolution and differentiation), transcriptomics (which genes are expressed at what conditions and at what levels) and interactomics (how are these gene products interacting in different conditions). On the computer science side of the game, I am engrossed with effective management and use of biological resource which includes published manuscripts. Quoting from a senior academic, I believe that much of science has been deductionist (breaking down into constituent components and studying a single component in extreme detail which manifested in the "one-gene-one-thesis" approach) and maybe we have enough components to re-build systems towards our initial goal of biological science - what is life and how it works? In this aspect, will it be possible to "re-design" or "re-build" a cell from the set of proteins that we have?
Here is a list of tools that had been developed as part of my work:
A common challenge to examine notarized (signed and dated) records is the trust that the date is accurate (not a backdate); hence, heavy responsibility will lie on the notarizer. NotaLogger reduces this responsibility by generating a random code (known as a notarization code), which can be appended to the notarization. The time and purpose for generating such a notarization code will be logged in the database; thus, acting as a third-party counter- signing of a notarization.
BioDBCat is an effort to catalog published biological and biomedical databases on an annual basis. This project was started in 2013 by Maurice Ling and Koh Yong Zher to get a feel of the number and types of biological databases published within the year. As this effort goes on, it seems to be a potential contribution to the scientific community to have such a catalogue; hence, BioDBCat was born. At the same time, we are also interested to see the half-life of published databases as most journals only require the published database to be online for around 2 years.