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PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the Coding-Net model INSTALLATION ------------- We upgraded PLEK to PLEKv2. All you need is RNA sequences (fasta file). Steps: 1. Download PLEK.2.1.tar.gz from * and decompress it. $ tar zvxf PLEK.2.1.tar.gz 2. Compile PLEK2.1 $ cd PLEK2.1 3. decompress Coding_Net_kmer6_orf.h5.bz2 model $ bunzip2 Coding_Net_kmer6_orf.h5.bz2 4. decompress Coding_Net_kmer6_orf_Arabidopsis.h5.bz2 model $ bunzip2 Coding_Net_kmer6_orf_Arabidopsis.h5.bz2 USAGE Python PLEK2.py -i fasta_file -m model(ve: vertebrate , pl: plant) Examples: $ python PLEK2.py -i test.fasta -m ve Aimin Li, Haotian Zhou, Siqi Xiong, Junhuai Li, Saurav Mallik, Rong Fei, Yajun Liu, Hongfang Zhou, Xiaofan Wang, Xinhong Hei, Lei Wang. ...

A community-driven python bot that aims to be as simple as possible to serve humans with their everyday tasks. Messenger is now used by 1.2 billion people every month. With the launch of Send/Receive API, bots are about to take over. It should have a lot of useful features (both fun and commonly used). Anyone can contribute to this project. (As this is module-based, anybody with a decent knowledge of Python can contribute.) One of the prime goals of this project is to lower the entry barrier...