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.
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.
Isobel is a framework to build complex information retrieval and analysis systems. Isobel can be functionally divided in two subsytems, Isobel Gatherer (the crawling and filtering subsystem) and Isobel Analyzer (the analysis subsystem). The two subsytems can also be used separately. Isobel Gatherer offers ready-to-use services like content fetching, scheduling, document format conversion, Hyperlink graph storage and analysis, content storage and indexing. A programmer may easily add new services. Isobel Analyzer uses the IBM UIMA architecture to reuse the analysis components developed for this architecture.
OpenHTMM is an implementation specifically designed to facilitate research into Hidden Topic Markov Models methods. Hidden Topic Markov Models (HTMM) is a method of analyzing a docyment by imposing a temporal Markov structure on the document. In this way, it is able to account for shifting topics within a document. In so doing, it provides a topic segmentation within the document and also seems to effectively distinguish among multiple senses that the same word may have in different contexts within the same document.
Amiba is a Gene Expression Programming (GEP) framework for Java. GEP is, like genetic algorithms, a branch of evolutionary computing. The framework separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes. For example, graphs may be used as terminals and graph operations as operators in the chromosome instead of the usual double precision numbers. It implements mutation, transposition, and recombination. Options and rates are easily configured through an XML file. A mechanism to load fitness cases in bulk is also provided.