Be the first to like this
Biological data management is a challenging undertaking. It is challenging for database designers, because biological concepts are complex and not always well defined, and therefore the data models that are used to represent them are constantly changing as new techniques are developed and new information becomes available. It is challenging for collaborating groups based in different geographical locations who wish to have unified access to their distributed data sources, because combining and presenting their data creates logistical difficulties. Finally, it is challenging for users of biological databases, because in order to correctly interpret the experimental data located in one database, additional information from other databases is frequently needed, requiring the user to learn multiple systems. The BioMart project (www.biomart.org) was initiated to address these challenges.
BioMart is a freely available, open source, federated database system that provides unified access to disparate, geographically distributed data sources. It is designed to be data agnostic and platform independent, such that existing databases can easily be incorporated into the BioMart framework. BioMart offers different types of access tailored to different groups of users. For biologists, BioMart offers a number of interactive and customisable web-based graphical user interfaces. For bioinformaticians, BioMart provides data access through a range of application programing interfaces. For service providers, BioMart offers a highly customizable system that can be installed locally and tailored to support different types of data management needs.
In this talk I will share my experiences in managing data for large international collaborations involving academic and industry partners. I will also outline the current status of BioMart’s software and services, and describe its new features – such as tools for analysing next generation sequencing data.
Recortar slides é uma maneira fácil de colecionar informações para acessar mais tarde.