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{bio,medical} informatics

Saturday, May 13, 2000

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Bio Informatics Technology & Systems (BITS) Project Overview
"Significant change and progress is apparent between the first and second issues of the BITS project.

The first issue has established BITS as the main web portal for bioinformatics business and technology issues; the project has taken a regular 20 000+ visitors every month over the past year. This second issue of BITS now includes a vastly expanded range of subjects covering all informatics related technologies, systems and tools within the life sciences (bio) market.

We will now also cover an array of highly relevant and inter-related disciplines in the life sciences, all of which are technology lead. New subject areas range from computational and conformational analysis to modelling, QSAR and semiempirical chemistry software systems (quantum chemistry). We are opening areas for computer server technology, programming, visualisation and following up with new methodologies which will re-shape science; not just robotics and HTS, but miniaturisation and EDA (Electronic Design Automation) and other important progress areas in the last year i.e. fluorescence techniques, “lab-on-a-chip” systems.....and more!"

We have also cross-linked informatics in a general sense. Subjects ranging from artificial intelligence (AI), new algorithms through to pattern recognition and electronic data capture are all covered and given their rightful place in the research and development framework. Other interactive links include LIMS (Laboratory Information Management Systems), Data Automation, contracted research and clinical trials (where the first fruits of BITS relevant projects and techniques are beginning to appear and are showing high success rates)."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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nsu / nyt science / bbc scitech / newshub / biology news net /

informatics review / stanford / bmj info in practice / bmj info in practice /

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