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dbCAN:CAZyme序列和注释数据库

dbCAN:CAZyme序列和注释数据库

作者: 胡童远 | 来源:发表于2021-01-05 20:14 被阅读0次

    文献信息:

    标题:dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation
    中文:碳水化合物酶序列注释数据库dbcan-seq
    杂志:Nucleic Acids Research
    时间:2018
    单位:北伊利诺斯大学,南开大学

    meta server:http://bcb.unl.edu/dbCAN2/
    dbcan_seq:http://bcb.unl.edu/dbCAN_seq/help.php
    dbcan_seq DB:http://bcb.unl.edu/dbCAN_seq/download.php
    dbcan github:https://github.com/linnabrown/run_dbcan

    难道还能注释转录因子和转运体,还有碳水化合物酶基因簇???

    下载安装

    conda create -n run_dbcan python=3.8 diamond hmmer prodigal -c conda-forge -c bioconda
    conda activate run_dbcan
    pip install dbcan==3.0.5
    

    下载注释信息和建库

    test -d db || mkdir db
    cd db \
        && wget http://bcb.unl.edu/dbCAN2/download/CAZyDB.09242021.fa && diamond makedb --in CAZyDB.09242021.fa -d CAZy \
        && wget https://bcb.unl.edu/dbCAN2/download/Databases/V10/dbCAN-HMMdb-V10.txt && mv dbCAN-HMMdb-V10.txt dbCAN.txt && hmmpress dbCAN.txt \
        && wget http://bcb.unl.edu/dbCAN2/download/Databases/tcdb.fa && diamond makedb --in tcdb.fa -d tcdb \
        && wget http://bcb.unl.edu/dbCAN2/download/Databases/tf-1.hmm && hmmpress tf-1.hmm \
        && wget http://bcb.unl.edu/dbCAN2/download/Databases/tf-2.hmm && hmmpress tf-2.hmm \
        && wget http://bcb.unl.edu/dbCAN2/download/Databases/stp.hmm && hmmpress stp.hmm \
        && cd ../ && wget http://bcb.unl.edu/dbCAN2/download/Samples/EscheriaColiK12MG1655.fna \
        && wget http://bcb.unl.edu/dbCAN2/download/Samples/EscheriaColiK12MG1655.faa \
        && wget http://bcb.unl.edu/dbCAN2/download/Samples/EscheriaColiK12MG1655.gff
    

    后台下载

    nohup bash down.sh &
    

    运行run_dbcan

    run_dbcan EscheriaColiK12MG1655.fna prok \
    --db_dir /public/home/zzumgg03/huty/databases/dbcan/ \
    --out_dir output_EscheriaColiK12MG1655
    

    参数:
    --dia_eval DIAMOND E Value
    --dia_cpu Number of CPU cores that DIAMOND is allowed to use
    --hmm_eval HMMER E Value
    --hmm_cov HMMER Coverage val
    --hmm_cpu Number of CPU cores that HMMER is allowed to use
    --out_pre Output files prefix
    --out_dir Output directory
    --db_dir Database directory

    过程

    ***************************1. DIAMOND start****
    
    diamond v2.0.15.153 (C) Max Planck Society for the Advancement of Science
    Documentation, support and updates available at http://www.diamondsearch.org
    Please cite: http://dx.doi.org/10.1038/s41592-021-01101-x Nature Methods (2021)
    
    #CPU threads: 4
    Scoring parameters: (Matrix=BLOSUM62 Lambda=0.267 K=0.041 Penalties=11/1)
    Temporary directory: output_EscheriaColiK12MG1655
    #Target sequences to report alignments for: 1
    Opening the database...  [0.253s]
    Database: /public/home/zzumgg03/huty/databases/dbcan/CAZy.dmnd (type: Diamond database, sequences: 2161786, letters: 1024499689)
    Block size = 2000000000
    Opening the input file...  [0.001s]
    Opening the output file...  [0.001s]
    Loading query sequences...  [0.011s]
    Masking queries...  [0.066s]
    Building query seed set...  [0.193s]
    Algorithm: Query-indexed
    Building query histograms...  [0.007s]
    Allocating buffers...  [0s]
    Loading reference sequences...  [3.197s]
    Initializing temporary storage...  [0.092s]
    Building reference histograms...  [19.495s]
    Allocating buffers...  [0.001s]
    Processing query block 1, reference block 1/1, shape 1/2.
    Building reference seed array...  [11.985s]
    Building query seed array...  [0.053s]
    Computing hash join...  [1.719s]
    Searching alignments...  [10.015s]
    Processing query block 1, reference block 1/1, shape 2/2.
    Building reference seed array...  [11.761s]
    Building query seed array...  [0.037s]
    Computing hash join...  [1.702s]
    Searching alignments...  [13.334s]
    Deallocating buffers...  [0.208s]
    Clearing query masking...  [0.002s]
    Computing alignments...  [42.04s]
    Deallocating reference...  [0.067s]
    Loading reference sequences...  [0.028s]
    Deallocating buffers...  [0.001s]
    Deallocating queries...  [0s]
    Loading query sequences...  [0.003s]
    Closing the input file...  [0s]
    Closing the output file...  [0.001s]
    Cleaning up...  [0s]
    Total time = 117.041s
    Reported 197 pairwise alignments, 197 HSPs.
    197 queries aligned.
    
    ***************************1. DIAMOND end****
    ***************************2. HMMER start***
    ***************************2. HMMER end***
    ***************************3. eCAMI start****
    Using CAZyme db in eCAMI
    total time:2642.618377s
    ***************************3. eCAMI end****
    
    Preparing overview table from hmmer, eCAMI and diamond output...
    overview table complete. Saved as output_EscheriaColiK12MG1655/overview.txt
    

    结果

    安装信号肽预测工具signalp添加到系统环境(可选)

    文献:SignalP 5.0 improves signal peptide predictions using deep neural networks. NBT 2019
    signalp地址:https://services.healthtech.dtu.dk/
    这里有很多工具,signalp在里面,下载安装没及时保存
    使用方法:

    signalp -org gram+ \
    -batch 10000 \
    -format long \
    -fasta Result/prokka/genome_prokka.faa \
    -prefix Result/secretory/signalp_pos/genome_signalp_pos \
    -tmp $tmp
    
    mkdir Result/secretory/signalp_neg
    signalp -org gram- \
    -batch 10000 \
    -format long \
    -fasta Result/prokka/genome_prokka.faa \
    -prefix Result/secretory/signalp_neg/genome_signalp_neg \
    -tmp $tmp
    

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