Cancer is initiated by activation of oncogenes or inactivation of tumor suppressor genes. Mutations in the K-ras proto-oncogene are responsible for 10–30% of adenocarcinomas. Clinical Findings point to a wide variety of other cancers contributing to lung cancer incidence. Such a scenario makes identification of lung cancer difficult and thus identifying its mechanisms can contribute to the society. Identifying unique conserved patterns common to contributing proto-oncogenes may further be a boon to Pharmacogenomics and pharmacoinformatics. This calls for ab initio/de novo drug discovery that in turn will require a comprehensive in silico approach of Sequence, Domain, Phylogenetic and Structural analysis of the receptors, ligand screening and optimization and detailed Docking studies. This brief involves extensive role of the RAS subfamily that includes a set of proteins, which cause an over expression of cancer-causing genes like M-ras and initiate tumour formation in lungs. SNP Studies and Structure based drug discovery will also be undertaken.
Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics, and Beyond focuses on both the theory and practice of the most emerging areas for Bloom filter application, including Big Data, Cloud Computing, Internet of Things, and Bioinformatics. Sections provide in-depth insights on structure and variants, focus on its role in computer networking, and discuss applications in various research domains, such as Big Data, Cloud Computing, and Bioinformatics. Since its inception, the Bloom Filter has been extensively experimented with and developed to enhance system performance such as web cache. Bloom filter influences many research fields, including Bioinformatics, Internet of Things, computer security, network appliances, Big Data and Cloud Computing. Includes Bloom filter methods for a wide variety of applications Defines concepts and implementation strategies that will help the reader use the suggested methods Provides an overview of issues and challenges faced by researchers
This book highlights the applications of soft computing techniques in medical bioinformatics. It reflects the state-of-the-art research in soft computing and bioinformatics, including theory, algorithms, numerical simulations, and error and uncertainty analysis. It also deals with novel applications of new processing techniques in computer science. This book is useful to both students and researchers from computer science and engineering fields.
This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain.
The traveller to India is urged to visit that country's western shore with the Arabian Sea where, about 300 miles to the south of Bombay, an exceedingly lovely coast reaches the peak of its harmony at the erstwhile Portuguese enclave of Goa. The ambience of this alluring province is an exquisite balance of palm trees and rice fields, aged colonial homes -many still elegant and brightly painted -slowly being swallowed up by the exuberant tropical vegetation, incredible blossoms, colorful and courteous people and, deeper inland, some splendid examples of 17th and 18th century Portuguese ecclesiastical architecture. A feast for the eyes by day, and in the evening enough fresh fish and other good food to satisfy the most demanding gourmet. This was the paradisiacal setting for the first International Conference on the Neural Organization of Sensory Systems (ICONOSS for short), sponsored jointly by the International Brain Research Organization (IBRO), the Tata Institute for Fundamental Research at Bombay, the Department of Atomic Energy of the Government of India, and the Department of Science and Technology of the Government of India. About 100 participants were pleasantly confined at Fort Aguada, a resort cunningly built amongst the ruins of an old Portuguese fort. The conference program achieved an international flavor, recruiting scientists from many nations: India (naturally), Australia, Britain, Canada, Germany, Finland, France, Hungary, Japan, the Netherlands, Sweden, Switzerland and the United States of America. The subjects discussed were as diverse as the countries represented.
Horse gram is a pulse and fodder crop native to Southeast Asia and tropical Africa. India is the only country cultivating horse gram on a large acreage, where it is being used for human food. It is a versatile crop and can be grown from near sea level to 1800m. It is a drought-tolerant crop plant and can be grown successfully with low rainfall. Global efforts to conserve the horse gram germplasm are lacking, as the crop does not attract much notice. The US Department of Agriculture (USDA) Germplasm Resources Information Network (GRIN) conserved only 35 accessions of Macrotyloma uniflorum in its gene bank. Protabase (Plant Resources of Tropical Africa Database), responsible for germplasm conservation for African countries, has only 21 accessions in the National Gene Bank of Kenya. Australian Tropical Crops and Forages Genetic Resources Centre, Biloela, Queensland has 38 accessions of horse gram. In India, the National Bureau of Plant Genetic Resources (NBPGR), New Delhi, is a nodal agency for the collection, conservation and documentation of horse gram germplasm; a total of 1627 accessions of horse gram are conserved in its gene bank. About 1161 accessions were systematically characterized and evaluated during 1999–2004 in different research institutions in India. No information on genomic resources is available for horse gram. However, the genetic information available for much researched related legume species could be useful in linkage map construction and for tagging and mapping of useful genes.
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