Performing Department
BIOCHEMISTRY
Non Technical Summary
Data management has been identified as a crucial issue in all large scale experimental projects. In this type of project, many different persons manipulate multiple objects in different locations; thus, unless complete and accurate records are maintained, it is extremely difficult to understand exactly what has been done, when it was done, who did it, and what exact protocol was used. All of this information is essential for use in publications, for reusing successful protocols, for determining why a target has failed, and for validating and optimizing protocols. Although data management solutions have been in place for certain focused activities, for example genome sequencing and microarray experiments, they are just emerging for more widespread projects, such as structural genomics, metabolomics, and systems biology as a whole. The overall aims of the Sesame project have been to develop a LIMS that (1) provides a flexible resource for storing, recovering and
disseminating data that fits well in a research environment (multiple views of data and parameters), (2) allows the world wide community of scientists to utilize the system, (3) allows remote collaborations at all stages, (4) provides full user data access security and data storage security, (5) permits data mining exercises and analysis of laboratory operations to identify best practices, and (6) simplifies the dissemination, installation, maintenance, and interoperability of software.
Animal Health Component
(N/A)
Research Effort Categories
Basic
(N/A)
Applied
50%
Developmental
50%
Goals / Objectives
Sesame is a versatile Web-based laboratory information management system developed at the University of Wisconsin-Madison that is in use in multiple laboratories around the world both for small-scale and large-scale applications. Sesame supports the gathering, organization, processing, and analysis of information from a variety of sources, including databases, bench scientists, laboratory instrumentation, and software packages. Sesame has proved its value in structural and functional proteomics investigations, in the management of shared instrumentation centers such as NMR spectroscopy resources and molecular interaction facilities. The Sesame system enables collaborators to participate in a research project, with equivalent access to information and the ability to enter results and process data irrespective of location (given Web access). The requested funds will be used to support the continued development, evaluation, and testing of the Sesame software package. The
software development will be aimed at (1) improving the efficiency and flexibility of the Sesame framework, (2) making it easier for users to customize the software for their own needs, (3) improving existing applications, and (4) developing additional applications. The goals are to make the software available to a larger clientele of structural biologists, molecular biologists, and biochemists.
Project Methods
The Sesame software is written in Java, uses CORBA as a middleware and is interfaced to a relational database management system. As part of this effort, we will create universal objects for developers so that they can develop Sesame modules to solve problems specific to their laboratory. We will ensure that the software runs on a variety of platforms, supports a variety of relational database management systems, and is firewall friendly. We will improve the documentation of the software, continue development of web-accessible user help pages, and create Sesame interfaces to a wider range of laboratory instrumentation. The schema and controlled vocabularies developed for various Sesame applications will be made available on the web to interested users. We will extend protocols for importing data from and exporting data to external data repositories. All software will be open-source.