Search Results for "test c"

'isotope' is a small command-line utility to calculate the isotope pattern for a given chemical formula. It allows to run calculations interactively, in batch mode, via the command line, or (using a webserver) via a web interface.

cdfread is a program for people wirking with mass spectrometry datasets. cdfread implements the routines to read mass spectra and mass chromatograms from data files in netCDF ("Andi-MS") format. Centroid and profile data are supported.

* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data...

Computer programs for application in Sports science, Physical Culture, among others. By Enrique R.P. Buendía Lozada. buendiaenr@gmail.com , Benemérita Universidad Autónoma de Puebla (BUAP), México. (Software without any warranty).

CusVarDB is a windows based tool for creating a variant protein database from Next-generation sequencing datasets. The program supports variant calling for Genome, RNA-Seq and ExomeSeq datasets. The program performs mainly 4 modules 1. Align the datasets with reference database 2. Perform the variant calling using Genome Analysis Toolkit (GATK) 3. Annotate the variant using ANNOVAR 4. Create the variant protein database Apart from the main modules, the program also supports...

CvMob is an Open Source tool to automatic visual analysis of human movement. The software calculates the optical flow to generate data about trajectory, velocity and acceleration using low-quality videos. For more informations, please visit our website: http://www.cvmob.ufba.br/

The "GeneticCode" C++ class is designed to generate versions of the genetic code subject to the requirements of the three major models of the genetic code origin and evolution (about these models see, e.g., Koonin & Novozhilov, 2009, IUBMB Life). This class was written specifically to perform statistical test for the paper Makukov & shCherbak (2017), but it might be used for a wider class of studies related to the genetic code.

To download please go to Browse All Files for the complete pack! In mass spectrometry the detector responses are not always directly proportional to the quantity of compounds. Large peaks in LCMS traces are not equal to major components but their ionizability. The effectiveness of a medicinal plant, poisons in a mushroom, resistance and susceptibility to pest and diseases are not necessarily because of the compounds that give large peaks. These traits are determined by the different...

Toolchain for quantification of fluorescence intensity and morphological parameters in single cells using microscope based cytometry.

Compare SBML Test Suite Results =============================== The [SBML Testsuite](http://sbml.org/Facilities/Online_SBML_Test_Suite) allows developers of ODE based simulators to test their implementation against a large number of test cases that test a wide aspect of the [SBML Specifications](http://sbml.org/Documents/Specifications). While implementing my simulator [RoadRunner](http://roadrunner.sf.net) I wanted to be able to compare it using a wider range of parameters: -...

BigBang/Horizon is a proteomics data analysis pipeline with focus on the shotgun LC/MSMS workflow.

BCAR is a library for the associative classification, which denotes "Boosting Class Association Rules". BCAR provides a general tool for classification tasks with various types of input data.

Simple console program intended for factor or principal components analysis. It calculates the optimal number of factors using the Horn's parallel analysis, computes the Kaiser-Meyer-Olkin and a few other measures of sampling adequacy.

RPowr is a simple calculator for planning correlational research. It computes the power of the Pearson correlation coefficient allowing adjustment for unreliability and range restriction of the variables (e.g. predictor and criterion measures).