ESP is a secure, automated system that analyzes electronic medical record (EMR) data to identify and report patients with notifiable diseases to the Massachusetts Department of Public Health. The growing use of electronic medical record systems (EMRs) permits efficient re-use of data already being collected by clinicians during routine private practice, offering an unparalleled opportunity to improve public health practice. Information held in EMR systems includes diagnoses, procedures, laboratory test, and treatment information, as well as patient demographic data. This software permits secure, simple, and robust messaging from electronic medical record systems to public health authorities.
OpenEMR is a medical practice management, electronic medical records, prescription writing, and medical billing application. It is a replacement for medical applications such as Medical Manager, Health Pro, and Misys. It features support for EDI billing to clearing houses such as MedAvant and ZirMED using ANSI X12. Major features include electronic billing (includes Medicare), document management, integrated practice management, e-prescribing, prescriptions by printed script, fax, or email, insurance tracking, multilanguage support, easy customization, easy Windows installation, integration with an external general accounting program (SQL-Ledger), and a built-in scheduler. It is multi-facility capable, voice recognition ready (on Windows), and Web based (secure access with SSL certificates).
JOELib/JOELib2 is a cheminformatics library which supports SMARTS substructure search, descriptor calculation, processing/filtering pipes, and conversion of different chemical file formats. It is written in 100% pure Java, and interfaces to external programs (e.g. Ghemical) are available.
Jmol is a Free, Open Source molecule viewer and editor. It is a collaboratively developed visualization and measurement tool for chemical scientists. Jmol is an active project, and there are new features being added to it on a daily basis. Users are encouraged to modify it to fit their needs and to contribute their changes to the project.
Blossoc is a linkage disequilibrium association mapping tool that attempts to build (perfect) genealogies for each site in the input, score these according to non-random clustering of affected individuals, and judge high-scoring areas as likely candidates for containing disease affecting variation. Building the local genealogy trees is based on a number of heuristics that are not guaranteed to build true trees, but have the advantage over more sophisticated methods of being extremely fast. Blossoc can therefore handle much larger data sets than more sophisticated tools, but at the cost of sacrificing some accuracy.
HapCluster++ is a software package for linkage disequilibrium mapping using coalescent theory. It is based on a Bayesian Markov-chain Monte Carlo (MCMC) method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps. HapCluster++ is a C++ implementation of the method described in the paper "Fine Mapping of Disease Genes via Haplotype Clustering" by E.R.B. Waldron, J.C. Whitaker, and D.J. Balding. Genetic Epidemiology. 30: 170–179. (2006).