OFELI (Object Finite Element LIbrary) is a library of finite element C++ classes for multipurpose development of finite element software. It is intended for teaching, research and industrial developments as well.
Bioinformatics tool for universal primers and group-specific probes
Matchup program can be used to find universal primers and group-specific probes for DNA-based detection methods llike AFLP(Amplification fragment length polymorphism) or Microarray experiment.
Calculates Volume, Surface Area & Centroid of a Closed Triangular Mesh
The ObjectVolume program calculates the volume, surface area and centroid of a closed triangular mesh represented in an object file (.obj). The process goes through the list of triangles that make up the surface and, for each triangle, forms a tetrahedron with an external point. The program uses the origin (0,0,0). The volume of the tetrahedron is then calculated. Tetrahedrons with back facing triangles are added and those with forward facing triangles are subtracted yielding the object volume. A detailed description of the process is presented in the ObjectVolumeTutorial.doc document as well as program logic and results. A key component in the program is a subroutine that calculates the volume of a tetrahedron. Four sets of equations were tested and to my surprise all four produced similar results in accuracy and timing.
Slick Linux by Cellocity Based on Fedora Core 6. Using the Kernel 2.6.18. with only basic core elements needed to operate. Slick is just that it's slick because it's striped down. It will have full compiling and running features. It will come with YUM.
Differential expression analysis tool for miRNAs in temporal studies
The microRNA Temporal Analyzer (mirnaTA) is a bioinformatics tool which can be used to identify differentially expressed miRNAs in temporal studies. It is implemented in Perl and R package (>= 2.13.0) and can be run across multiple platforms such as Linux, Mac and Windows. The mirnaTA requires that users provide data from a minimum of two time points and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, and the normalized data is analyzed using linear regression model to locate any miRNAs which are differentially expressed in a linear manner. Any miRNAs with P-value<0.05 are considered statistically significant. Remaining miRNAs which did not fit in linear model are further analyzed in two different methods: (1) if the number of time points <3, CDF of the normal distribution, and (2) if the number of time points is >= 3, ANOVA is utilized. http://www.gigasciencejournal.com/content/3/1/20