The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the ...The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the most efficient way to access and use them For the biologist, running bioinformatics analyses involve a time-consuming management of data and tools. Users need support to organize their work, retrieve parameters and reproduce their analyses. They also need to be able to combine their analytic tools using a safe data flow software mechanism. Finally we have designed a system, Bioinfo-Portal, to provide a flexible and usable web environment for defining and running bioinformatics analyses. It embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using an adobe flex tool. Bioinfo-Portal can also act as a front end to provide a unified view of already-existing collections of bioinformatics resources. Users can analyze genomic and proteomic data by using the tools that has been integrated in the portal (tools for alignments, dotplots, motif detection, domain analysis, profile searching and tertiary structure prediction). The sequences that user obtained from portal's nucleotide and protein databases are easily analyzed by the portal tools on the same interface in no time. User can also take benefit from the animations.展开更多
This paper uses oriented process method to analysis and design the system, using SQL Server 2000 database as the backend database support platform system, using three layer B/S architecture to support, the system prov...This paper uses oriented process method to analysis and design the system, using SQL Server 2000 database as the backend database support platform system, using three layer B/S architecture to support, the system provides a good interface and function feature, data have high safety performance, high reliability and low cost, the system can improve the work efficiency of college personnel, improve the efficiency of management, and has a certain practical significance.展开更多
Functional proteomics can be defined as a strategy to couple proteomic information with biochemical and physiological analyses with the aim of understanding better the functions of proteins in normal and diseased orga...Functional proteomics can be defined as a strategy to couple proteomic information with biochemical and physiological analyses with the aim of understanding better the functions of proteins in normal and diseased organs.In recent years,a variety of publicly available bioinformatics databases have been developed to support protein-related information management and biological knowledge discovery.In addition to being used to annotate the proteome,these resources also offer the opportunity to develop global approaches to the study of the functional role of proteins both in health and disease.Here,we present a comprehensive review of the major human protein bioinformatics databases.We conclude this review by discussing a few examples that illustrate the importance of these databases in functional proteomics research.展开更多
文摘The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the most efficient way to access and use them For the biologist, running bioinformatics analyses involve a time-consuming management of data and tools. Users need support to organize their work, retrieve parameters and reproduce their analyses. They also need to be able to combine their analytic tools using a safe data flow software mechanism. Finally we have designed a system, Bioinfo-Portal, to provide a flexible and usable web environment for defining and running bioinformatics analyses. It embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using an adobe flex tool. Bioinfo-Portal can also act as a front end to provide a unified view of already-existing collections of bioinformatics resources. Users can analyze genomic and proteomic data by using the tools that has been integrated in the portal (tools for alignments, dotplots, motif detection, domain analysis, profile searching and tertiary structure prediction). The sequences that user obtained from portal's nucleotide and protein databases are easily analyzed by the portal tools on the same interface in no time. User can also take benefit from the animations.
文摘This paper uses oriented process method to analysis and design the system, using SQL Server 2000 database as the backend database support platform system, using three layer B/S architecture to support, the system provides a good interface and function feature, data have high safety performance, high reliability and low cost, the system can improve the work efficiency of college personnel, improve the efficiency of management, and has a certain practical significance.
基金supported by the National Basic Research Program of China (Grant Nos. 2010CB912700 and 2011CB910601)
文摘Functional proteomics can be defined as a strategy to couple proteomic information with biochemical and physiological analyses with the aim of understanding better the functions of proteins in normal and diseased organs.In recent years,a variety of publicly available bioinformatics databases have been developed to support protein-related information management and biological knowledge discovery.In addition to being used to annotate the proteome,these resources also offer the opportunity to develop global approaches to the study of the functional role of proteins both in health and disease.Here,we present a comprehensive review of the major human protein bioinformatics databases.We conclude this review by discussing a few examples that illustrate the importance of these databases in functional proteomics research.