LabKey Server is open source software that helps scientists manage, analyze, and share complex datasets. It supports tandem mass spectrometry, flow cytometry, assays for neutralizing antibodies, Luminex, observational studies, and secure, Web-based collaboration. The software is modular, configurable, and customizable. It can be installed in your institution on any modern hardware and operating system. It is designed to integrate with your existing systems, instruments, and work flows, and to be readily adapted by skilled programmers to novel methods of inquiry. The project is under active development by a team of professional software engineers and a community of active contributors. New versions are released about four times per year.
PathVisio is a bioinformatics tool that lets you do everything with biological pathway diagrams. PathVisio helps you organize biological information and lets you present or publish that information easily. You can create and draw pathways, export them to many image formats, annotate them with links to online biological databases such as Ensembl, Entrez or HMDB, and add comments and literature references from pubmed. PathVisio also lets you sort through high-throughput experimental data in pathway context. This is a much more pleasant way to present data than just a large table. You can import microarray, proteomics or metabolomics data. PathVisio has a plugin interface that lets users customize it to new analysis types, new visualization methods, and new pathway formats. PathVisio is compatible with WikiPathways.
ProteomeCommons.org Java Analysis Framework is a framework for referencing common mass spectrometry data such as atoms and residues. This framework provides a programmer with an easy-to-use library for writing programs that rely on common mass spectrometry data. The framework also contains utilities such as an isotope calculator and a reference for residue abbreviations.
ProteomeCommons.org IO Framework is a proper Java framework for handling spectra and peak lists. The framework can read and write to a number of different spectra and peak list formats, and it provides a simple, intuitive Java object model for working with spectra or peak lists. All classes support two methods of handling peak list and spectrum data: in-memory or stream. The goal of this framework is to support all the popular MS and MSMS data formats, and to eliminate any time or effort involved in figuring out how to read and write peak list or spectrum files.