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Aiden Lab edited this page Dec 2, 2016 · 21 revisions

#Juicer Usage#

 Usage: juicer.sh [-g genomeID] [-d topDir] [-q queue] [-l long queue] [-s site]
                 [-a about] [-R end] [-S stage] [-p chrom.sizes path]
                 [-y restriction site file] [-z reference genome file]
                 [-C chunk size] [-D Juicer scripts directory]
                 [-Q queue time limit] [-L long queue time limit] [-r] [-h] [-x]
* [genomeID] must be defined in the script, e.g. "hg19" or "mm10" (default 
  "hg19"); alternatively, it can be defined using the -z command
* [topDir] is the top level directory (default
  "/Users/nchernia/Downloads/neva-muck/UGER")
     [topDir]/fastq must contain the fastq files
     [topDir]/splits will be created to contain the temporary split files
     [topDir]/aligned will be created for the final alignment
* [queue] is the queue for running alignments (default "short")
* [long queue] is the queue for running longer jobs such as the hic file
  creation (default "long")
* [site] must be defined in the script, e.g.  "HindIII" or "MboI" 
  (default "MboI")
* [about]: enter description of experiment, enclosed in single quotes
* -r: use the short read version of the aligner, bwa aln
  (default: long read, bwa mem)
* [end]: use the short read aligner on read end, must be one of 1 or 2 
* [stage]: must be one of "merge", "dedup", "final", "postproc", or "early".
    -Use "merge" when alignment has finished but the merged_sort file has not
     yet been created.
    -Use "dedup" when the files have been merged into merged_sort but
     merged_nodups has not yet been created.
    -Use "final" when the reads have been deduped into merged_nodups but the
     final stats and hic files have not yet been created.
    -Use "postproc" when the hic files have been created and only
     postprocessing feature annotation remains to be completed.
    -Use "early" for an early exit, before the final creation of the stats and
     hic files
* [chrom.sizes path]: enter path for chrom.sizes file
* [restriction site file]: enter path for restriction site file (locations of
  restriction sites in genome; can be generated with the script
  (misc/generate_site_positions.py) )
* [reference genome file]: enter path for reference sequence file, BWA index
  files must be in same directory
* [chunk size]: number of lines in split files, must be multiple of 4
  (default 90000000, which equals 22.5 million reads)
* [Juicer scripts directory]: set the Juicer directory,
  which should have scripts/ references/ and restriction_sites/ underneath it
  (default /broad/aidenlab)
* [queue time limit]: time limit for queue, i.e. -W 12:00 is 12 hours
  (default 1200)
* [long queue time limit]: time limit for long queue, i.e. -W 168:00 is one week
  (default 3600)
* -x: exclude fragment-delimited maps from hic file creation
* -h: print this help and exit
  • Running Juicer with no arguments will run it with genomeID hg19 and site MboI
  • Providing a genome ID: if not defined in the script, you can either directly modify the script or provide the script with the files needed. You would provide the script with the files needed via "-z reference_sequence_path" (needs to have the BWA index files in same directory), "-p chrom_sizes_path" (these are the chromosomes you want included in .hic file), and "-s site_file" (this is the listing of all the restriction site locations, one line per chromosome). Note that ligation junction won't be defined in this case. The script (misc/generate_site_positions.py) can help you generate the file
  • Providing a restriction enzyme: if not defined in the script, you can either directly modify the script or provide the files needed via the "-s site_file" flag, as above. Alternatively, if you don't want to do any fragment-level analysis (as with a DNAse experiment), you should assign the site "none", as in juicer.sh -s none
  • Directory structure: Juicer expects the fastq files to be stored in a directory underneath the top-level directory. E.g. HIC001/fastq. By default, the top-level directory is the directory where you are when you launch Juicer; you can change this via the -d flag. Fastqs can be zipped. [topDir]/splits will be created to contain the temporary split files and should be deleted once your run is completed. [topDir]/aligned will be created for the final files, including the hic files, the statistics, the valid pairs (merged_nodups), the collisions, and the feature annotations.
  • Queues are complicated and it's likely that you'll have to modify the script for your system, though we did our best to avoid this. By default there's a short queue and a long queue. We also allow you to pass in wait times for those queues; this is currently ignored by the UGER and SLURM versions. The short queue should be able to complete alignment of one split file. The long queue is for jobs that we expect to take a while, like writing out the merged_sort file
  • Chunk size is intimitely associated with your queues; a smaller chunk size means more alignment jobs that complete in a faster time. If you have a hard limit on the number of jobs, you don't want too small of a chunk size. If your short queue has a very limited runtime ceiling, you don't want too big of a chunk size. Run time for alignment will also depend on the particulars of your cluster. We launch ~5 jobs per chunk. Chunk size must be a multiple of 4.
  • Relaunch via the same script. Type juicer.sh [options] -S stage where "stage" is one of merge, dedup, final, postproc, or early. "merge" is for when alignment has finished but merged_sort hasn't been created; "dedup" is for when merged_sort is there but not merged_nodups (this will relaunch all dedup jobs); "final" is for when merged_nodups is there and you want the stats and hic files; "postproc" is for when you have the hic files and just want feature annotations; and "early" is for early exit, before hic file creation. If your jobs failed at the alignment stage, run relaunch_prep.sh and then run juicer.sh.
  • Miscelleaneous options include -a 'experiment description', which will add the experiment description to the statistics file and the meta data in the hic file; -r, which allows you to use bwa aln instead of bwa mem, useful for shorter reads; -R [end], in case you have one read end that's short and one that's long and you want to align the short end with bwa aln and the long end with bwa mem; and -D [Juicer scripts directory], to set an alternative Juicer directory; must have scripts/, references/, and restriction_sites/ underneath it

Example

We've provided a step-by-step guide to showcase some of the features of Juicer. If you run into problems, see Github for more detailed documentation. This example runs on SLURM clusters, but you can also install the pipeline on any LSF or Univa Grid Engine cluster.

##Importing your data##

  1. Log in to the SLURM cluster
  2. Create a custom directory (e.g. mkdir -p /custom/filepath/MyHIC)
  3. Go to the directory (e.g. cd /custom/filepath/MyHIC)
  4. Create a folder for fastq files (mkdir fastq)
  5. Use globus, other ftp software, soft linking, etc. to move your fastq files to /custom/filepath/MyHIC/fastq

##Actually run Juicer## Run the Juicer pipeline from the MyHIC folder with /local/path/scripts/juicer.sh [options] where /local/path refers to the folder containing the scripts folder bundling the necessary files included with this distribution. Do not exit the screen or kill the script until you see a message saying that all jobs have been submitted.

##Check out the results!##

  1. You can use squeue to check the status of jobs. Eventually there will be no more jobs in the queue, and the ./debug folder will have a "Pipeline successfully completed" message.
  2. Results are available in the aligned directory. The Hi-C maps are in inter.hic (for MAPQ > 0) and inter_30.hic (for MAPQ >= 30). The Hi-C maps can be loaded in Juicebox and explored. They can also be used for automatic feature annotation and to extract matrices at specific resolutions.
  3. These results also include automatic feature annotation. The output files include a genome-wide annotation of loops and, whenever possible, the CTCF motifs that anchor them (identified using the HiCCUPS algorithm). The files also include a genome-wide annotation of contact domains (identified using the Arrowhead algorithm). The formats of these files are described in the Juicebox tutorial online; both files can be loaded into Juicebox as a 2D annotation.