Giter Club home page Giter Club logo

rnahelices's Introduction

RNAHeliCes and HiKinetics

Abstract folding space analysis based on helices and RNA-kinetics based on folding space abstraction

Copyright (C) 2011-20 Jiabin Huang, Björn Voss. Send comments/bug reports to: J. Huang [email protected].

Dependencies

RNAliHiKinetics needs RNAliHelices and RNAliHipath whose installation is described below. Additional dependencies are:

compile time:

  • C++ compiler (for example GCC g++)
  • C compiler (for example GCC)
  • GNU make >= 3.81

compile time and runtime:

  • Boost Libraries (>1.58): program_options, date_time (apt install libboost-all-dev)
  • LAPACK

Installation

git clone https://github.com/huang/RNAHeliCes
autoreconf -f -i
./configure CFLAGS="-fno-stack-protector" CPPFLAGS="-std=c++98" CXXFLAGS="-std=c++98 -fno-stack-protector"
make
sudo make install

Notes:

  • If there are any linking problems after installing, please add '/usr/local/lib' to LD_LIBRARY_PATH.
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
  • ./src/libs/libRNA.a contains all Vienna package routines, this may be system dependent. If so, please reload this from Vienna RNA Package.
  • If without SUPER privilege, use ./configure --with-boost-include-path="/your_path/boost_1_58_installed/include" --with-boost-lib-path="/your_path/boost_1_58_installed/lib" CFLAGS='-g -O2 -fno-stack-protector' CPPFLAGS='-std=c++98 -I/your_path/boost_1_58_installed/include -DNDEBUG -D_FORTIFY_SOURCE=2 -O2' CXXFLAGS='-std=c++98 -g -O2 -w -fno-stack-protector'

Test run

RNAHeliCes examples/collosoma_slrna.seq
HiPath -f examples/switches_4.faa -k 40 -P ./librna/vienna/rna_turner1999.par
HiTed examples/riboswitches.fas -t 1 -r 1

HiKinetics

See ./HiKinetics/README for HiKinetics.

Citations

[1] Huang, J., & Voß, B. (2011, September). RNAHeliCes—Folding Space Analysis Based on Position Aware Structure Abstraction. In German Conference on Bioinformatics, Weihenstephan, Germany (Vol. 79).

[2] Huang, J., Backofen, R., & Voß, B. (2012). Abstract folding space analysis based on helices. RNA, 18(12), 2135-2147.

[3] Huang, J., & Voß, B. (2012, September). Reducing the search space in RNA helix based folding. European Conference on Computational Biology 2012. European Conference on Computational Biology (ECCB) 2012.

[4] Huang, J., & Voß, B. (2014). Analysing RNA-kinetics based on folding space abstraction. BMC bioinformatics, 15(1), 60.

rnahelices's People

Contributors

huang avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.