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The python App/Skrypt automaticly add important events into calendar.
...Check by run run_ETE.bat
**Model must understand your language, test before use!
***In emal seting(usualy on web) create a new folder and set auto COPY!
More information and complete instalation guidein in READ ME file. USE THEM!
If you find some bug or something else, please write on:
jan_pisa<a>email.cz
Or Github isue
...MANTI was previously (un)known as muda.pl ahead of v3.7, the project was renamed to MANTI.pl with v3.7 on 2019-06-24.
It congregates information from different MaxQuant or DiaNN/MSFragger output files into a master file suitable explicitly for protein neo-termini analyses. The central anchor for the data congregation is the modificationSpecificPeptides.txt or diann-output.pr_matrix.tsv file - additional data is inferred from different other source files from the corresponding folder. Maybe also useful for normal proteomics purposes but this script is heavily optimized for protein neo-termini identification and validation. ...
....
-------- ATTENTION END
muda.pl is an evaluation script (written in Perl) without great dependencies.
It congregates information from 4 different MaxQuant output files into a master file suitable explicitly for protein neo-termini analyses. The central anchor for the data congregation is the modificationSpecificPeptides.txt file - additional data is inferred from different other source files from the MaxQuant txt folder but the starting point for the data assembly is solely the modificationSpecificPeptides.txt file. ...
MetaErg is a stand-alone and fully automated metagenome and metaproteome annotation pipeline published at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00999/full.
If you are using this pipeline for your work, please cite:
Dong X and Strous M (2019) An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs. Front. Genet. 10:999. doi: 10.3389/fgene.2019.00999
The instructions on configuring and running the MetaErg pipeline is available at GitHub...
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This project helps to digitize field data for a certain Bird Census method.
Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper.
This project makes it easy to annotate such field data and to make this data available for statistical analysis.