Author: | ISBN: | 9780080463704 | |
Publisher: | Elsevier Science | Publication: | August 15, 2006 |
Imprint: | Elsevier Science | Language: | English |
Author: | |
ISBN: | 9780080463704 |
Publisher: | Elsevier Science |
Publication: | August 15, 2006 |
Imprint: | Elsevier Science |
Language: | English |
The advances in genomic technologies, such as microarrays and high throughput sequencing,
have expanded the realm of possibilities for capturing data and analyzing it using automated
computer driven bioinformatics tools. With the completion of the sequencing of genomes of
human and several model organisms, a quest for scientific discoveries being fueled by
integrative and multidimensional techniques in mathematics and computational sciences. In
this volume, leading researchers and experts have provided an overview of significant
concepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expression
profiles.
The advances in genomic technologies, such as microarrays and high throughput sequencing,
have expanded the realm of possibilities for capturing data and analyzing it using automated
computer driven bioinformatics tools. With the completion of the sequencing of genomes of
human and several model organisms, a quest for scientific discoveries being fueled by
integrative and multidimensional techniques in mathematics and computational sciences. In
this volume, leading researchers and experts have provided an overview of significant
concepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expression
profiles.