Search Results for "novel."

...While the authors are aware that many other highly specialized and highly optimized program packages for the same purpose exist (e. g. AMBER, GROMACS, NAMD, etc.), the MATLAB environment offers easy access to manipulating the codes, testing novel algorithms, non-standard force fields and performing all kinds of numerical experiments. To be used mainly in research and teaching! Started early 2010, MolDynSim is still in an early (alpha) stage, and any help in further development is highly appreciated. Developed mainly by B. Schmidt (FUB)

...While the authors are aware that many other highly specialized and highly optimized program packages for the same purpose exist (e. g. AMBER, GROMACS, NAMD, etc.), the MATLAB environment offers easy access to manipulating the codes, testing novel algorithms, non-standard force fields and performing all kinds of numerical experiments. To be used mainly in research and teaching! Started early 2010, MetaStable is still in an early (alpha) stage, and any help in further development is highly appreciated. Developed by B. Schmidt (FUB), F. Haack, S. Röblitz, and M. Weber (ZIB)

The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation...

detectMITE - a MATLAB-based tool for detecting miniature inverted repeat transposable elements (MITEs) in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectMITE? Ye C, Ji G, Liang C (2016) detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Sci. Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?...

The “lpACLib” library contains the VHDL description of accurate and approximate versions of several arithmetic modules (like adders and multiplier of different bit-widths) and accelerators. Moreover, it also provides the corresponding software behavioral models/implementations developed in C and MATLAB to enable quality characterization. Besides our novel designs, it also contains implementations for several state-of-the-art arithmetic modules and their approximate versions. This open-source library facilitates research and development in approximate computing at higher abstraction levels, and to facilitate reproducible research and comparisons. In case of usage, please refer to our publication: Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel, "Cross-Layer Approximate Computing: From Logic to Architectures", Design Automation Conference (DAC), 2016. ...

detectIR - a MATLAB-based tool for detecting perfect and imperfect inverted repeats in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectIR? Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectIR user manual Please visit the Wiki page of this website. [4] detectIR Q&A For Q&A, please visit the Blog page of this website...

RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.

...While the authors are aware that many other highly specialized and highly optimized program packages for the same purpose exist (e. g. AMBER, GROMACS, NAMD, etc.), the MATLAB environment offers easy access to manipulating the codes, testing novel algorithms, non-standard force fields and performing all kinds of numerical experiments. To be used mainly in teaching!