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GENOMICS AND BIOINFORMATICS

ABSTRACT: Publisher Summary This chapter discusses the basic principles of molecular biology regarding genome science and describes the major types of data involved in genome projects, including technologies for collecting them. Genome science is heavily driven by new technological advances that allow for rapid and inexpensive collection of various types of data. The emergence of genomic science has not simply provided a rich set of tools and data for studying molecular biology. It has been the catalyst for an astounding burst of interdisciplinary research, and it has challenged long-established hierarchies found in most institutions of higher learning. The next generation of biologists needs to be as comfortable at a computer workstation as they are at the lab bench. Recognizing this fact, many universities have already reorganized their departments and their curricula to accommodate the demands of genomic science.The chapter discusses practical applications and uses of genomic data. For example, in the foreseeable future, are gene therapies that can repair genetic defects.

SUBMITTER: Muse S

PROVIDER: S-EPMC7271170 | biostudies-literature | 2005 Jan

REPOSITORIES: biostudies-literature

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Project description:BackgroundA steep drop in the cost of next-generation sequencing during recent years has made the technology affordable to the majority of researchers, but downstream bioinformatic analysis still poses a resource bottleneck for smaller laboratories and institutes that do not have access to substantial computational resources. Sequencing instruments are typically bundled with only the minimal processing and storage capacity required for data capture during sequencing runs. Given the scale of sequence datasets, scientific value cannot be obtained from acquiring a sequencer unless it is accompanied by an equal investment in informatics infrastructure.ResultsCloud BioLinux is a publicly accessible Virtual Machine (VM) that enables scientists to quickly provision on-demand infrastructures for high-performance bioinformatics computing using cloud platforms. Users have instant access to a range of pre-configured command line and graphical software applications, including a full-featured desktop interface, documentation and over 135 bioinformatics packages for applications including sequence alignment, clustering, assembly, display, editing, and phylogeny. Each tool's functionality is fully described in the documentation directly accessible from the graphical interface of the VM. Besides the Amazon EC2 cloud, we have started instances of Cloud BioLinux on a private Eucalyptus cloud installed at the J. Craig Venter Institute, and demonstrated access to the bioinformatic tools interface through a remote connection to EC2 instances from a local desktop computer. Documentation for using Cloud BioLinux on EC2 is available from our project website, while a Eucalyptus cloud image and VirtualBox Appliance is also publicly available for download and use by researchers with access to private clouds.ConclusionsCloud BioLinux provides a platform for developing bioinformatics infrastructures on the cloud. An automated and configurable process builds Virtual Machines, allowing the development of highly customized versions from a shared code base. This shared community toolkit enables application specific analysis platforms on the cloud by minimizing the effort required to prepare and maintain them.

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GENOMICS AND BIOINFORMATICS

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