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.
The NCBI C++ Toolkit provides portable libraries and applications for assisting genetic science. These include libraries for networking, SQL and BerkeleyDB access, CGI and HTML handling, ASN.1 and XML handling, sequence alignment engines, sequence retrieval engines, BLAST database engines, FLTK and OpenGL graphics toolkits, and basic system utilities.
Powua is a parallel super-computer consisting of many processors that work simultaneously. The Powua client lets users access this high computing power from wherever they are, directly on their computer, through a simple Internet connection. If your preferred software is supported, you can start using it immediately in Powua and speed up all those processes that would otherwise occupy your processor for a long time. Powua subdivides your operation and distributes it to many processors simultaneously.
SNPfile is a library and API for manipulating large SNP data sets with associated meta-data, such as marker names, marker locations, individuals' phenotypes, etc. in an I/O efficient binary file format. In its core, SNPfile assumes very little about the metadata associated with markers and individuals, but leaves this up to application program protocols.
CGAL, the Computational Geometry Algorithms Library, is a large C++ library of geometric data structures and algorithms such as Delaunay triangulations, mesh generation, Boolean operations on polygons, and various geometry processing algorithms. CGAL is used in various areas: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, and numerical methods.
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).