Changes between Version 64 and Version 65 of SOPs/atac_Seq


Ignore:
Timestamp:
06/15/21 14:17:04 (4 years ago)
Author:
byuan
Comment:

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  • SOPs/atac_Seq

    v64 v65  
    118118MACS v2 is applicable for ATAC-Seq using the appropriate options/parameters.
    119119
    120   * Run [[https://github.com/ENCODE-DCC/atac-seq-pipeline|ENCODE ATAC-seq Pipeline]] . It works well with human (hg38, hg19) and mouse (mm10, mm9) samples with biological replicates. The pipeline takes fastq files, cleans and maps the reads, filters aligned reads and does peak calls. Here is the [[https://www.encodeproject.org/pipelines/ENCPL787FUN/|workflow]].  In addition, it does quality controls. The steps below shows you how to run it on our Whitehead server.
    121 
    122        * Verify there is no preexisting conda startup code with the command below:
    123 {{{
    124 conda env list
    125 }}}
    126          You have no preexisting conda if you get "conda: command not found". Otherwise, log out, log back in, start the new conda instance, and activate encode-atac-seq-pipeline
    127 
    128       * Ignore the developer's instructions, use your home directory for conda and the pipeline.
    129 {{{
    130 # Be sure to keep the first dot in the command below:
    131 . /nfs/BaRC_Public/conda/start_barc_conda
    132 conda activate encode-atac-seq-pipeline
    133 }}}
    134 
    135       * Run. Files could be url or fullpath. [[https://github.com/ENCODE-DCC/atac-seq-pipeline/blob/master/docs/input.md | Detail information about .json file]]
    136 {{{
    137 caper run /nfs/BaRC_Public/atac-seq-pipeline/atac.wdl -i sample.json
    138 # After the job finishes, you can deactivate conda with
    139 conda deactivate
    140 }}}
    141 
    142 
     120  * If you have human (hg38, hg19) and mouse (mm10, mm9) samples with biological replicates, you run [[https://github.com/ENCODE-DCC/atac-seq-pipeline|ENCODE ATAC-seq Pipeline]]. The pipeline takes fastq files, cleans and maps the reads, filters aligned reads and does peak calls. Here is the [[https://www.encodeproject.org/pipelines/ENCPL787FUN/|workflow]].  In addition, it does quality controls. The steps below shows you how to run it on our Whitehead server.
    143121      * content in sample.json:
    144122
     
    172150          * mm10: /nfs/BaRC_datasets/ENCODE_ATAC-seq_Pipeline/mm10/mm10.tsv
    173151
     152       * Before running ENCODE pipeline, verify there is no preexisting conda startup code with the command below:
     153{{{
     154conda env list
     155}}}
     156         You have no preexisting conda if you get "conda: command not found". Otherwise, log out, log back in, start the new conda instance, and activate encode-atac-seq-pipeline
     157
     158      * Ignore the developer's instructions, use your home directory for conda and the pipeline.
     159{{{
     160# Be sure to keep the first dot in the command below:
     161. /nfs/BaRC_Public/conda/start_barc_conda
     162conda activate encode-atac-seq-pipeline
     163}}}
     164
     165      * Run. Files could be url or fullpath. [[https://github.com/ENCODE-DCC/atac-seq-pipeline/blob/master/docs/input.md | Detail information about .json file]]
     166{{{
     167caper run /nfs/BaRC_Public/atac-seq-pipeline/atac.wdl -i sample.json
     168# After the job finishes, you can deactivate conda with
     169conda deactivate
     170}}}
    174171
    175172