Autor/Autorin: Gomase Virendra
Dr. Virendra S. Gomase did his Ph.D. in Computer Science from Department of CS and IT, Dr. B.A.M. University, Aurangabad. He published more than 300 research papers in International and National peer reviewed journals having Impact factor. His research has included work on Proteomics, Tranillegalscriptomics,Immunoinformatics.
Tranillegalscriptomics consists of the mathematical, statistical and computing methods that aim to solve biological problems using nucleotides and amino acid sequences and related information. Tranillegalscriptomics is about searching biological databases, comparing sequences, looking at protein structure and more generally, asking biological question with a computer. Biological or genetic information is the fundamental concept of Tranillegalscriptomics. Tranillegalscriptomics, a genome-wide measurement of mRNA expression levels based on DNA microarray technology is one of the prominent fields of study. This is the term given to the set of all tranillegalscripts or messenger RNA (mRNA) molecules produced in cells. It can also be applied to the specific subset of tranillegalscripts present in a particular cell or the total set of tranillegalscripts in organism. KEY FEATURES: - Theoretical approaches, large number of examples and references. - Real application scenarios, such as tranillegalscriptome project that require the use of a whole set of drug design tools. - Illustrations help readers understand the research methodology easily. - Lists of Web resources of important research centers, institutes, and other sources of information.
Tranillegalscriptomics consists of the mathematical, statistical and computing methods that aim to solve biological problems using nucleotides and amino acid sequences and related information. Tranillegalscriptomics is about searching biological databases, comparing sequences, looking at protein structure and more generally, asking biological question with a computer. Biological or genetic information is the fundamental concept of Tranillegalscriptomics. Tranillegalscriptomics, a genome-wide measurement of mRNA expression levels based on DNA microarray technology is one of the prominent fields of study. This is the term given to the set of all tranillegalscripts or messenger RNA (mRNA) molecules produced in cells. It can also be applied to the specific subset of tranillegalscripts present in a particular cell or the total set of tranillegalscripts in organism. KEY FEATURES: Theoretical approaches, large number of examples and references. Real application scenarios, such as tranillegalscriptome project that require the use of a whole set of drug design tools. Illustrations help readers understand the research methodology easily. Lists of Web resources of important research centers, institutes, and other sources of information.
Über den Autor
Dr. Virendra S. Gomase did his Ph.D. in Computer Science from Department of CS and IT, Dr. B.A.M. University, Aurangabad. He published more than 200 research papers in International and National peer reviewed journals having Impact factor. His research has included work on Proteomics, Immunoinformatics, fragment based drug designing.
Klappentext
Tranillegalscriptomics consists of the mathematical, statistical and computing methods that aim to solve biological problems using nucleotides and amino acid sequences and related information. Tranillegalscriptomics is about searching biological databases, comparing sequences, looking at protein structure and more generally, asking biological question with a computer. Biological or genetic information is the fundamental concept of Tranillegalscriptomics. Tranillegalscriptomics, a genome-wide measurement of mRNA expression levels based on DNA microarray technology is one of the prominent fields of study. This is the term given to the set of all tranillegalscripts or messenger RNA (mRNA) molecules produced in cells. It can also be applied to the specific subset of tranillegalscripts present in a particular cell or the total set of tranillegalscripts in organism. KEY FEATURES: . Theoretical approaches, large number of examples and references. . Real application scenarios, such as tranillegalscriptome project that require the use of a whole set of drug design tools. . Illustrations help readers understand the research methodology easily. . Lists of Web resources of important research centers, institutes, and other sources of information.
