Search Results for "7zip"

...Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel.

SPiP is a tool to predict the splice alteration of variant by integrate several prediction tool in a global pipeline. You can also download SPiP in zip format: https://sourceforge.net/projects/splicing-prediction-pipeline/files/SPiP_alone_v2_1.zip For Linux (GitHub): https://github.com/LBGC-CFB/SPiP If you have questions, please contact me to: r.leman@baclesse.unicancer.fr or raphael.leman@orange.fr v2.1 corrected (07/2021) : correction of score calculation v2.1 (06/2021): Most strigent on "Alter by complex event" v2.0 (04/2021): New SPiP with random forest modelization old change detailled in https://sourceforge.net/projects/splicing-prediction-pipeline/files/changeLogBeforev2.0.txt

BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq.

...To install the package download the "gogadget_2.1.tar.gz" file, open R and install with the following line: install.packages( "C:/your/directory/gogadget_2.1.tar.gz", repos = NULL, type="source") The package was made in R 3.4.2 on a Windows 7 computer, and is also tested on Ubuntu. Please cite the following paper if you publish results obtained using gogadget: Nota, B. (2017), Gogadget: an R Package for Interpretation and Visualization of GO Enrichment Results. Mol. Inf. May;36(5-6). doi: 10.1002/minf.201600132.

...Assemblages are simulated by specifying the: 1) number of species, 2) total abundance of individuals, 3) abundance distribution, 4) spatial configuration, 5) species detection probabilities, 6) survey design, and 7) number of grid cells to survey (out of a square grid comprised of 10,000 cells). SimAssem also processes existing encounter data and formats existing and simulated encounter data for other programs. SimAssem, along with the open source code, will hopefully give researchers and managers a tool for assessing the development of new estimators and evaluating potential decisions in a simulated environment. ...

...The library includes a graphical user interface to simplify its use. Note that the 2.0-1 version is delivered as a source (*.tar.gz for Linux and Mac users) and as a binary file (*.zip, for Windows users). The installation procedure differs slightly according to your system; but this should remain simple. Have a look at the readme file when you download your new copy from https://sourceforge.net/projects/rawgeno/files/rawgeno/RawGeno%202.0-1/ Make also sure to have a look at https://sourceforge.net/projects/rawgeno/files/ where you can find a detailed manual, demo datasets and many demo scripts.