Search Results for "download visio 2013"

..., unassembled reads. Finished and unfinished genomes can be analyzed together, and kSNP can automatically download Genbank files of the finished genomes and incorporate the information in those files into the SNP annotation. No programming skills are required to use kSNP4 Gardner, S.N. and Hall, B.G. 2013. . PLoS ONE, 8(12):e81760.doi:10.1371/journal.pone.0081760 Gardner, S.N., T. Slezak, and B.G. Hall. 2015 Bioinformatics 31: 2877-2878 doi: 10.1093/bioinformatics/btv271

Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.

PlanetPack is a software tool developed to facilitate the radial-velocity time-series analysis for the goal of exoplanets detection, characterization, and basic dynamical simulations. The description of the main theoretic concepts, statistical methods and algorithms that PlanetPack implements, is given in the following refereed papers: R.V. Baluev 2013, Astronomy & Computing, V. 2, P. 18 (initial release); R.V. Baluev 2018, Astronomy & Computing, V. 25, P. 221 (update 3.0

The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. Transactions in GIS, 20(5), 755-775. Other related publications: - Hagenauer, J...

... sequencing data. EXCAVATOR has been published on Genome Biology (http://genomebiology.com/2013/14/10/R120/abstract). #################### ATTENTION!!!!! In order to use properly the EXCAVATOR tool, users must download the uniqueome mappability files at the following link: http://grimmond.imb.uq.edu.au/uniqueome/downloads/hg19_uniqueome.coverage.base-space.25.1.Wig.gz (for hg19) http://grimmond.imb.uq.edu.au/uniqueome/downloads/hg18_uniqueome.coverage.base-space.25.1.Wig.gz

This toolbox computes the parameters of the Bouc–Wen–Baber–Noori hysteresis model using Multiobjective optimization evolutionary algorithms (MOBEAs). The toolbox uses the NSGA − II algorithm, which is an elitist non–dominated sorting EA. The toolbox uses the original NSGA-II algorithm developed by Prof. Kalyanmoy Deb, which can be download from: http://www.iitk.ac.in/kangal/codes.shtml Prof. Deb allowed me to use and post this toolbox. For further information about the toolbox read...