Coder Social home page Coder Social logo

biotecol / sieve-ub Goto Github PK

View Code? Open in Web Editor NEW

This project forked from biodataganache/sieve-ub

0.0 0.0 0.0 18.91 MB

Code and data for the SIEVE-Ub prediction algorithm for prediction of E3 ubiquitin ligase mimics

License: BSD 2-Clause "Simplified" License

Python 13.07% R 4.95% Shell 0.22% HTML 81.76%

sieve-ub's Introduction

SIEVE-Ub

Code and data for the SIEVE-Ub prediction algorithm for prediction of E3 ubiquitin ligase mimics

Accompanies the preprint: https://peerj.com/preprints/27292/

Published paper: https://peerj.com/articles/7055/

Files:
KmerFeatures.py : Python code that transforms a protein fasta file into kmer features suitable for use
                  with. the SIEVEUb.R code.
SIEVEUb.R : R code to train and validate models based on kmer features. Includes code for family-wise
	    cross-validation and family-wise scoring of overrepresented kmers.
SIEVEUbApply.R : an R script that allows reading in a set of features output from KmerFeatures and applying
            the predictive model from the paper to output predictions for each protein.
SIEVEUbCode.Rmd : RMarkdown file for doing the analysis described in the paper. This RMarkdown has code for
                  regenerating most of the figures, tables, and supplemental figures and tables from the paper.
make_prediction.csh : shell script that will provide predictions of ubiquitin ligase given an input fasta file.

data/1032069.3.PATRIC.faa : example PATRIC genome fasta file from a single genome
data/FamiliesConservative.txt : list of example proteins used for positive and negative examples, their annotations,
                    and identified sequence families
data/PATRIC.genomes : list of genomes from PATRIC used in the paper
data/PATRIC_secretion_systems.txt : Type III, IV, and VI secretion system components identified in each PATRIC genome used
data/SIEVEUb_best_model.Rdata : Rdata file containing the best Ub ligase model
data/SIEVEUb_minimal_model.Rdata : Rdata file containing the minimal Ub. ligase model with 10 features
data/best_model_1280features.txt : list of features included in the best Ub ligase predictive model
data/legionella_examples.fasta : FASTA protein sequence for newly discovered UUb ligase RavN
data/legionella_examples_k14red0_minimal10.txt : feature file for RavN using the minimal model identified
data/minimal_model_10features.txt : kmers contained in the 10 kmer minimal model
data/patric_ubligase_predictions_best_model.txt.gz : predictions for the PATRIC subset used in the paper with the best
                   Ub ligase predictive model
data/ubligase_examples_ids.fasta : FASTA file containing protein sequences of positive and negative examples used in this
       study. Please see FamiliesConservative.txt for information about these sequences.
data/ubligase_examples_ids_minimal_model_10features.html : HTML file that lists the examples used in this study and where
       the top 10 most predictive kmers map to the sequences.
data/ubligase_examples_ids_minimal_model_10features.tab : List of most predictive 10 kmers locations in each of the examples
       used in the study.
data/uniprot_search.readme : short description of Uniprot search and filtering process used to identify positive
       examples for E3 ubiquitin ligase
data/red0/ : features for reduced alphabet 0 over a range of kmer lengths from 3-20
data/rnd0/ : features for randomized binary alphabets

This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights.

Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

	 PACIFIC NORTHWEST NATIONAL LABORATORY
		      operated by
			BATTELLE
			for the
	   UNITED STATES DEPARTMENT OF ENERGY
	    under Contract DE-AC05-76RL01830

sieve-ub's People

Contributors

biodataganache avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.