By Frederick Marcus
Collaborative learn in bioinformatics and platforms biology is a key component of glossy biology and healthiness study. This e-book highlights and gives entry to the various equipment, environments, effects and assets concerned, together with vital laboratory information iteration and experimentation and medical actions. Collaborative tasks embrace a study paradigm that connects the various most sensible scientists, associations, their assets and examine world wide, leading to firstclass contributions to bioinformatics and structures biology. critical issues contain describing procedures and leads to collaborative learn tasks utilizing computational biology and offering a consultant for researchers to entry them.
The publication can be a pragmatic advisor on how technological know-how is controlled. It indicates how collaborative researchers are placing effects jointly in a fashion obtainable to the whole biomedical community.
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Additional resources for Bioinformatics and Systems Biology: Collaborative Research and Resources
3. Predict. – Design wet-laboratory experiments to explore certain hypotheses. g. by knockout of a whole gene. – Simulate and experimentally test the effects of new stimuli (drugs) or other perturbations on a physiological or cellular system, predict the response of patients to different types of treatments. 4. Control. – Use models to design new stimuli (drugs) or other perturbations to achieve desired effects in physiological or cellular systems. – Control the generation of new data to be able to decide between models, and/ or to improve parameter estimates, based on automated analysis of alternative models.
Project Publications The papers published by these collaborative research projects constitute a major resource, and provide much more information on project results. In this book, a few key publications have been referenced for each project, but the list of publications, and in turn the publications list in each publication, is far too large to reproduce here. BioSapiens alone has 75 publications listed. Most of these publication lists are available directly on the project websites, or via individual work packages or deliverables.
The biologist is in danger of drowning in this flood of data, but projects are in progress to deal with this. Experiments are not readily replicable, especially not when conducted in different places, by different experimenters, with different arrays and without standard operating procedures, etc. Science becomes gravely hampered if scientists in different locations or contexts and at different times are unable to communicate data and results reliably to one another – similar problems are facing curators of databases, public or private, hence the result of developing common languages and protocols in ArrayExpress (2007).
Bioinformatics and Systems Biology: Collaborative Research and Resources by Frederick Marcus