Genetics

MAPLE: A phylogenetic tool for pandemic-scale genome data

With the huge abundance of genomic data generated from life science experiments, processing large datasets remains a challenge in the field of bioinformatics. During the COVID-19 pandemic, the limited capabilities of existing ...

Diseases, Conditions, Syndromes

Advancing diagnostics for lupus nephritis

The nature of a typical clinical test for lupus nephritis (LN), an inflammation of the kidneys and a leading cause of mortality in lupus patients, is fraught with difficulty. The invasive renal biopsy can be painful and may ...

Diseases, Conditions, Syndromes

How the spread of Ebola is calculated

The number of reported Ebola cases is doubling roughly every five weeks in Sierra Leone, and in as little as two to three weeks in Liberia.

Health

Podium finish for Genetrainer

The world's first computer guided fitness training system using a person's DNA was announced as one of the three winners of the LeWeb'13 London Startup Competition, Europe's largest technology conference.

Diseases, Conditions, Syndromes

Analysing meningitis genes to identify new treatments

Scientists at the University of Liverpool are working to identify genes involved in the development of bacterial meningitis to support the search for new vaccine candidates.

Genetics

Will a genetic mutation cause trouble? Ask Spliceman

In a brief paper in the journal Bioinformatics, Brown University researchers describe a new, freely available Web-based program called Spliceman for predicting whether genetic mutations are likely to disrupt the splicing ...

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Bioinformatics

Bioinformatics i/ˌbaɪ.oʊˌɪnfərˈmætɪks/ is the application of computer science and information technology to the field of biology and medicine. Bioinformatics deals with algorithms, databases and information systems, web technologies, artificial intelligence and soft computing, information and computation theory, software engineering, data mining, image processing, modeling and simulation, signal processing, discrete mathematics, control and system theory, circuit theory, and statistics, for generating new knowledge of biology and medicine, and improving & discovering new models of computation (e.g. DNA computing, neural computing, evolutionary computing, immuno-computing, swarm-computing, cellular-computing). Java, XML, Perl, C, C++, Python, R, SQL, CUDA and MATLAB are the some of the more prominent software technologies used in this field.

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