Bioinformatics ReviewBioinformatics Review
Notification Show More
Font ResizerAa
  •  Home
  • Docking
  • MD Simulation
  • Tools
  • More Topics
    • Softwares
    • Sequence Analysis
    • Algorithms
    • Bioinformatics Programming
    • Bioinformatics Research Updates
    • Drug Discovery
    • Phylogenetics
    • Structural Bioinformatics
    • Editorials
    • Tips & Tricks
    • Bioinformatics News
    • Featured
    • Genomics
    • Bioinformatics Infographics
  • Community
    • BiR-Research Group
    • Community Q&A
    • Ask a question
    • Join Telegram Channel
    • Join Facebook Group
    • Join Reddit Group
    • Subscription Options
    • Become a Patron
    • Write for us
  • About Us
    • About BiR
    • BiR Scope
    • The Team
    • Guidelines for Research Collaboration
    • Feedback
    • Contact Us
    • Recent @ BiR
  • Subscription
  • Account
    • Visit Dashboard
    • Login
Font ResizerAa
Bioinformatics ReviewBioinformatics Review
Search
Have an existing account? Sign In
Follow US
Mutation PredictionTools

Installing SIFT for Missense Variants on Ubuntu

Tariq Abdullah
Last updated: November 5, 2020 4:33 pm
Tariq Abdullah
Share
1 Min Read
installing SIFT on ubuntu
SHARE

SIFT is a bioinformatics tool for predicting missense effects of non-synonymous/missense variations in sequences [1]. SIFT identifies naturally occurring nonsynonymous polymorphisms as well as laboratory-induced missense mutations. In this article, we will install SIFT 6.2.1 for missense variants prediction on Ubuntu.

Contents
  • Getting started
  • Downloading SIFT 6.2.1
  • Installing SIFT
    • References

Getting started

Let’s update and upgrade the system first.

Open the terminal (Ctrl+T) and type the following commands:

$ sudo apt-get update

$ sudo apt-get upgrade

Downloading SIFT 6.2.1

Change to the directory where you wish to download the software. You can either download it from here or use the following command:

$ cd Downloads/

$ wget https://s3.amazonaws.com/sift-public/nsSNV/sift6.2.1.tar.gz

Installing SIFT

Extract the archived file and then install it.

$ tar xvzf sift6.2.1.tar.gz

Change to the sift directory.

$ cd sift6.2.1/

Move inside the blimps directory present in sift and make.

$ cd blimps/

$ make clean

$ make all

$ cd ../

Now move inside the src directory and compile.

$ cd src/

$ ./compile.csh

It could take some time to finish depending upon your system configuration. That finishes your installation.


References

  1. Vaser, R., Adusumalli, S., Leng, S. N., Sikic, M., & Ng, P. C. (2016). SIFT missense predictions for genomes. Nature protocols, 11(1), 1.
Share This Article
Facebook Copy Link Print
ByTariq Abdullah
Tariq is founder of Bioinformatics Review and Lead Developer at IQL Technologies. His areas of expertise include algorithm design, phylogenetics, MicroArray, Plant Systematics, and genome data analysis. If you have questions, reach out to him via his homepage.
Leave a Comment

Leave a Reply Cancel reply

You must be logged in to post a comment.

ai tools vs traditional tools in bioinformatics
AI Tools vs Traditional Tools in Bioinformatics- Which one to select?
Algorithms Artificial Intelligence Machine Learning Software Tools
AI vs Physics in Molecular Docking
AI vs Physics in Molecular Docking: Towards Faster and More Accurate Pose Prediction
Artificial Intelligence Drug Discovery Machine Learning
10 years of Bioinformatics Review: From a Blog to a Bioinformatics Knowledge Hub!
Editorial
Starting in Bioinformatics? Do This First!
Starting in Bioinformatics? Do This First!
Tips & Tricks

You Might Also Like

MD SimulationSoftwareTools

Tutorial: MD simulation output analysis of protein using GROMACS

April 6, 2023
swissmodel
Structure PredictionTools

SWISS-MODEL: Uses & Applications

January 17, 2022
How to perform metal ion-protein docking using idock?
DockingSoftwareTools

How to perform metal ion-protein docking using idock?

August 8, 2021
How to compare two pairwise alignments using Modeller-10.1?
SoftwareTools

How to compare two pairwise alignments using Modeller-10.1?

November 20, 2021
Copyright 2024 IQL Technologies
  • Journal
  • Customer Support
  • Contact Us
  • FAQs
  • Terms of Use
  • Privacy Policy
  • Cookie Policy
  • Sitemap
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?

Not a member? Sign Up