Three New Bioinformatics Tools Available
The NIAID sponsored Pathogen Functional Genomics Resource Center (PFGRC) at the J. Craig Venter Institute is pleased to announce the release of three new, free open-source software tools: Magnolia, Ginkgo and APEX. Magnolia is a microarray data management and export system for researchers who use PFGRC microarrays. The software greatly simplifies the tasks of organizing experimental data and submitting it to a public data repository. Ginkgo is a Comparative Genomic Hybridization (CGH) and expression microarray data analysis package. Several normalization, data filtering and imputation, and replicate microarray functions are implemented in an intuitive graphical framework. The APEX tool is an implementation of the Absolute Protein Expression quantitation technique. It can compute protein abundance values for LC-MS/MS proteomics datasets, quantifying hundreds or thousands of proteins. Links to additional information on each of these new software tools is available from the PFGRC's bioinformatics page.
Microarray Suggestion Criteria
The National Institute of Allergy and Infectious Diseases (NIAID) supported Pathogen Functional Genomics Resource Center (PFGRC) designs, constructs, and distributes glass slide DNA microarrays for pathogens and biodefense related organisms (Select A-C agents). Currently, the PFGRC supports DNA microarrays for the 38 organisms listed here. In continuing its efforts to provide the infectious disease and biodefense communities with the microarray resources most relevant to their research efforts, the PFGRC is soliciting input for selection of its next set of reference/species microarrays. The criteria for organism selection may be found here.
June 9, 2008
Ginkgo, an analysis tool for CGH and expression microarray data version 1.0.0 release
The NIAID sponsored Pathogen Functional Genomics Resource Center (PFGRC) at the J. Craig Venter Institute is pleased to announce the release of the Ginkgo, an analysis tool for CGH and expression microarray data. The software is designed for performing a variety of spotted microarray data processing such as normalization, data filtering, data imputation, replicates consistency checking, replicates consolidation, etc. The Java application is featuring analysis functionalities for both Comparative Genomic Hybridization (CGH) and expression data. Ginkgo implements a number of algorithms to address data analysis needs and provides a user-friendly graphical interface that allows viewing, analyzing and reporting data in an easy and intuitive measure. Additional information and Ginkgo downloads can be found on the Ginkgo homepage.