Page History

...

MultiQC produces neat, interactive plots in an HTML file.
- So it can be used as a basic plotting tool for many kinds of reports and data, not just those produced by NGS tools!

Tip

I recommend using Chrome to view MultiQC reports.

The HTML reports generated by MultQC rely heavily on JavaScript and other dynamic web content scripting tools, and not all browsers support them equally well.

Code Workshop

ATAC-seq is a transposon-insertion sequencing method where an engineered, activate transposon inserts in accessible ("open") chromatin. It is considered to be a much simpler protocol to standard DNase-seq, and requires less starting material as well.

...

Setup to follow along

Login to ls5 or stampede at TACCTACCTACC. Execute these commands to set up access to the the multiqc binary:

Code Block

language	bash
title	lonestar5 setup for multiqc

module load python
export PATH="/work/projects/BioITeam/ls5/binopt/multiqc-1.0:$PATH"
export PYTHONPATH="/work/projects/BioITeam/ls5/lib/python2.7/annab-packages:$PYTHONPATH"
 
# make sure it is working...
multiqc --help

Produce a consolidated FastQC report

The FastQC took is great for producing detailed reports for every individual fastq file. For example, for Igor's 2 PE datasets, 4 reports are produced from running fastqc (http://web.corral.tacc.utexas.edu/iyer/igor/fastqc/).

Code Block

language	bash
title	stampede setup for multiqc

module load python
export PATH="/work/projects/BioITeam/stampede/opt/multiqc-1.0:$PATH"
export PYTHONPATH="/work/projects/BioITeam/stampede/lib/python2.7/annab-packages:$PYTHONPATH"
 
# make sure it is working...
multiqc --help

Produce a consolidated FastQC report

The FastQC took is great for producing detailed reports for every individual fastq file. For example, for Igor's 2 PE datasets, 4 reports are produced from running fastqc (http://web.corral.tacc.utexas.edu/iyer/igor/fastqc/).

The shortcoming is The shortcoming is that you have to browse through all the individual reports one at a time, which can be tedious for large experiments.

...

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc/01_fastq
cd $SCRATCH/byteclub/multiqc/01_fastq
ln -s -f /work/01063projects/abattenhBioITeam/projects/byteclub/multiqc/fastqc

...

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/01_fastq
multiqc
multiqc .

When this completes you'll see a new file and directory:

...

Expand

title	Tip

To view the file you created in a web browser, it must be copied somwhere where a browser can open it. An easy way to do this is to copy it to your laptop like this, for example, changing the user name from abattenh and scratch path as appropriate.

Code Block

language	bash

# from your laptop:
scp -p abattenh@ls5.tacc.utexas.edu:/scratch/01063/abattenh/byteclub/multiqc/01_fastq/multiqc_report.html .

Add a few customizations

...

Use your favorite text editor to create a a file called multiqc_config.yaml in your $SCRATCH/byteclub/multiqc/01_fastq directory as shown below. This will add report title lines and change the names of the MultiQC output files.

...

Expand

title	Catch up

To catch up, just stage Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc/
cd $SCRATCH/byteclub/multiqc/
rsync -avrP --delete /work/01063projects/abattenhBioITeam/projects/byteclub/multiqc/0102_fastq/ 01_fastq/.

After saving this file, remove the previous MultiQC outputs and re-run the program:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/01_fastq
rm -rf multiqc_data multiqc_report.html
multiqc .

...

Always use spaces (not tabs!) in the multiqc_config.yaml file.
Make sure the file is saved with Unix line endings (not Windows or Mac).
Pay attention to the output when running multiqc. It will tell you if there are issues parsing the config file.
Always delete any previous MultiQC output files before running multiqc
- While their documentation says existing files will just be updated, I have seen MultiQC get confused when previous reports exist.
It is a good idea to change the name of the MultiQC output files
- If output files with those names are not created, something went wrong!
Consult example config files
- An example multiqc_config.yaml file: https ://github.com/ewels/MultiQC/blob/master/multiqc_config_example.yaml
- All multiqc_config.yaml defaults: https://github.com/ewels/MultiQC/blob/master/multiqc/utils/config_defaults.yaml
Avoid running multiqc on large complex directory trees.
- Instead, create a separate directory (or directory tree) only for MultiQC
  - Copy or link the files you want MultiQC to look for there, and use it as MultiQC's target directory.
- MultiQC will run much faster and have fewer confusions.

...

First stage some mm10 bowtie2 alignment data:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc/02_bowtie
cd $SCRATCH/byteclub/multiqc/02_bowtie
ln -s -f /work/01063/abattenh/projects/byteclub/multiqc/fastqc
rsync -avrP /work/01063projects/abattenhBioITeam/projects/byteclub/multiqc/bowtie2/ bowtie2/

...

<prefix>.flagstat.txt - output from running samtools flagstat
<prefix>.idxstats.txt - output from running samtools idxstats
<prefix>.dupinfo.txt - output from running Picard MarkDuplicates

Note that output from samtools flagstat and samtools idxstats will only be recognized by MultiQC if the files names include the words flagstat and idxstats. Fortunately, Anna's script created files with those names!

...

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc/

02_bowtie


cd $SCRATCH/byteclub/multiqc/

02_bowtie cp ../01_fastq/multiqc_config.yaml .

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc/
cd $SCRATCH/byteclub/multiqc/
rsync -avrP /work/01063/abattenh/projects/byteclub/multiqc/03_bowtie/ 02_bowtie/

Now run multiqc again:


rsync -avrP --delete /work/projects/BioITeam/projects/byteclub/multiqc/03_bowtie/ .

Now run multiqc again:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/02_bowtie
rm -rf mqc_report*
multiqc .

...

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc/02_bowtie/for_multiqc
cd $SCRATCH/byteclub/multiqc/02_bowtie/for_multiqcfor_multiqc
for f in ../bowtie2/*.dupinfo.txt; do
  bn=`basename $f`
  pfx=${bn%%.dupinfo.txt}
  echo "$f - $pfx"
  cat $f | sed 's/[.]sort//g' > ${pfx}.dupmetrics.txt
done

Your $SCRATCH/byteclub/multiqc/02_bowtie/for_multiqc directory should have 2 files:

brain_50k_nuclei.fixed.dupmetrics.txt
brain_50k_nuclei.fixed.dupmetrics.txt

The final piece of the puzzle is to tell MultiQC to ignore the original <prefix>.dupinfo.txt files by modifying the multiqc_config.yaml file, adding a fn_ignore_files list entry.

...

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc
cd $SCRATCH/byteclub/multiqc
rsync -avrP --delete /work/01063projects/abattenhBioITeam/projects/byteclub/multiqc/04_picard_fixed/ 02_bowtie/.

After making this config file modification, you can now run multiqc again:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/02_bowtie; rm -rf mqc_report*; multiqc .

...

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc
cd $SCRATCH/byteclub/multiqc
rsync -avrP --delete /work/01063projects/abattenhBioITeam/projects/byteclub/multiqc/05_section_order/ 02_bowtie/.

After making this config file modification, you can now run multiqc again:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/02_bowtie; rm -rf mqc_report*; multiqc .

...

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/02_bowtie/for_multiqc
for f in ../bowtie2/*.insertsz.txt; do
  bn=`basename $f`
  pfx=${bn%%.insertsz.txt}
  echo "$f - $pfx"
  tail -n +2 $f | grep -v -P '^-' | cut -f 1,3 > ${pfx}.bowtie2_isizes.tsv
done

Next we edit the multiqc_config.yaml configuration file to add appropriate custom data sections:

Then the usual...

Resulting in a report that includes our inset size distribution data the custom data section we configured: http://web.corral.tacc.utexas.edu/iyer/byteclub/multiqc/06_custom_linegraph.mqc_report.html, with a new section called Bowtie2 insert size.

What's cool is that this "sawtooth" insert size distribution occurs because of the way transposons insert into the major groove of DNA at regular intervals. So this graph shows Igor that his ATAC-seq proof-of-concept experiment worked!

Adding a custom bargraph

Here we'll create two custom bargraph reports, one for bowtie2 mapping qualities and a second showing genome coverage of the alignments.

The data files for both reports are pretty simple, but it took a bit of scripting to create them. So let's just use pre-made copies:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/02_bowtie
cp /work/01063/abattenh/projects/byteclub/multiqc/07_custom_bargraph/for_multiqc/*mapq*      for_multiqc/
cp /work/01063/abattenh/projects/byteclub/multiqc/07_custom_bargraph/for_multiqc/*genomecov* for_multiqc/

There is one mapping quality histogram for each dataset, with category names in the 1st column and counts in the 2nd. The 50k dataset file looks like this:

Code Block

title	brain_50k_nuclei.mapq_histogram.tsv

q0	    137354
1-9	    671546
10-19	1081868
20-29	1945926
30-39	1508496
40+	    12930272

There is just one data file for genome coverage. Unlike the per-sample files, it has a header, with an arbitrary tag for the categories in the 1st column, then dataset names and their counts in subsequent columns:

Code Block

title	combined_genomecov.tsv

count   5k_nuclei   50k_nuclei
none    2140984435  2175228345
1-2     237947623   351105871
3-10    308665107   186361275
11-50   38729079    17356704
51-100  3473642     780078
100+    1071888     39501

Here we edit the multiqc_config.yaml configuration file to add appropriate custom data sections:

Code Block

title	multiqc_config.yaml

# Titles to use for the report.
title: "ATAC-Seq QC Reports"
subtitle: null
intro_text: "MultiQC reports for Igor's ATAC-Seq proof-of-concept project."
report_header_info:
    - Sequenced by: 'GSAF'
    - Job: 'JA17277'
    - Run: 'SA17121'
    - Setup: '2x150'

# Change the output filenames
output_fn_name: mqc_report.html
data_dir_name: mqc_report_data

# Ignore these files / directories / paths when searching for reports
fn_ignore_files:
    - '*.dupinfo.txt'

# Modules that should come at the top of the report
top_modules:
    - 'generalstats'
    - 'fastqc'
    - 'samtools'
    - 'picard'

# --------------------------------
# Custom data
# --------------------------------
custom_content:
  order:
    - bowtie2_isize_section

custom_data:
    bowtie2_isize:
        id: 'bowtie2_isize_section'
        section_name: 'Bowtie2 insert size'
        description: 'distribution for alignments (bowtie2 --local -X2000 --no-mixed --no-discordant)'
        file_format: 'tsv'
        plot_type: 'linegraph'
        pconfig:
            id: 'bowtie2_isize_plot'
            title: 'Insert sizes for proper pairs'
            xlab: 'Insert size'
            ylab: 'Count'

sp:
    bowtie2_isize_section:
        fn: '*.bowtie2_isizes.tsv'

x

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc
cd $SCRATCH/byteclub/multiqc
rsync -avrP /work/01063/abattenh/projects/byteclub/multiqc/06_custom_linegraph/ 02_bowtie/

Then the usual...

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/02_bowtie; rm -rf mqc_report*; multiqc .

Resulting in a report that includes our inset size distribution data the custom data section we configured: http://web.corral.tacc.utexas.edu/iyer/byteclub/multiqc/06_custom_linegraph.mqc_report.html, with a new section called Bowtie2 insert size.

What's cool is that this "sawtooth" insert size distribution occurs because of the way transposons insert into the major groove of DNA at regular intervals. So this graph shows Igor that his ATAC-seq proof-of-concept experiment worked!

Making MultiQC run faster and be less confused

By default, MultiQC scans all files in the analysis directory you specify. This can take quite a while for complex directory hierarchies with many files that will not be used by MultiQC.

Additionally, MultiQC can get confused when the same (or similar) data is found in different files, or in different directories.

To address these issues, it is a good practice to copy everything you want MultiQC to process into a single directory, then either specify just that directory on the multiqc command line (e.g. multiqc for_multiqc), or exclude other directories in the multiqc_config.yaml file.

For example, here we can stage all the reports we want MultiQC to process in our for_multiqc directory:

Code Block

language	bash

cd ~/playtime/multiqc/atacseq/for_multiqc
ln -s -f ../fastqc
cp -p ../bowtie2/*.flagstat.txt  .
cp -p ../bowtie2/*.idxstats.txt  .

Your for_multiqc directory should now contain:

Code Block

brain_50k_nuclei.bowtie2_isizes.tsv
brain_50k_nuclei.dupmetrics.txt
brain_50k_nuclei.flagstat.txt
brain_50k_nuclei.idxstats.txt
brain_5k_nuclei.bowtie2_isizes.tsv
brain_5k_nuclei.dupmetrics.txt
brain_5k_nuclei.flagstat.txt
brain_5k_nuclei.idxstats.txt
fastqc

Then:

Code Block

language	bash

cd ~/playtime/multiqc/atacseq; rm -rf mqc_report*
multiqc for_multiqc

You can also exclude the bowtie2 directory entirely via a fn_ignore_dirs section list item. Our final multiqc_config.yaml file then looks like this:

Code Block

title	multiqc_config.yaml

# Titles to use for the report.
title: "ATAC-Seq QC Reports"
subtitle: null
intro_text: "MultiQC reports for Igor's ATAC-Seq proof-of-concept project."
report_header_info:
    - Sequenced by: 'GSAF'
    - Job: 'JA17277'
    - Run: 'SA17121'
    - Setup: '2x150'

# Change the output filenames
output_fn_name: mqc_report.html
data_dir_name: mqc_report_data

# Ignore these files / directories / paths when searching for reports
fn_ignore_files:
    - '*.dupinfo.txt'
fn_ignore_dirs:
    - bowtie2

# Modules that should come at the top of the report
top_modules:
    - 'generalstats'
    - 'fastqc'
    - 'samtools'
    - 'picard'

# --------------------------------
# Custom data
# --------------------------------
custom_content:
  order:
    - bowtie2_isize_section
    - iyer_seq_history_section

custom_data:
    bowtie2_isize:
        id: 'bowtie2_isize_section'
        section_name: 'Bowtie2 insert size'
        description: 'distribution for alignments (bowtie2 --local -X2000 --no-mixed --no-discordant)'
        file_format: 'tsv'
        plot_type: 'linegraph'
        pconfig:
            id: 'bowtie2_isize_plot'
            title: 'Insert sizes for proper pairs'
            xlab: 'Insert size'
            ylab: 'Count'
    iyer_seq_history:
        id: 'iyer_seq_history_section'
        section_name: 'Iyer lab sequencing'
        description: '- history of alignments by type'
        file_format: 'tsv'
        plot_type: 'bargraph'
        pconfig:
            id: 'iyer_seq_history_plot'

sp:
    bowtie2_isize_section:
        fn: '*.bowtie2_isizes.tsv'
    iyer_seq_history_section:
        fn: 'iyer_sequencing_history.tsv'

Code Block

title	multiqc_config.yaml

# Titles to use for the report.
title: "ATAC-Seq QC Reports"
subtitle: null
intro_text: "MultiQC reports for Igor's ATAC-Seq proof-of-concept project."
report_header_info:
    - Sequenced by: 'GSAF'
    - Job: 'JA17277'
    - Run: 'SA17121'
    - Setup: '2x150'

# Change the output filenames
output_fn_name: mqc_report.html
data_dir_name: mqc_report_data

# Ignore these files / directories / paths when searching for reports
fn_ignore_files:
    - '*.dupinfo.txt'

# Modules that should come at the top of the report
top_modules:
    - 'generalstats'
    - 'fastqc'
    - 'samtools'
    - 'picard'

# --------------------------------
# Custom data
# --------------------------------

custom_data:
    bowtie2_isize:
        id: 'bowtie2_isize_section'
        section_name: 'Bowtie2 insert size'
        description: 'distribution for alignments (bowtie2 --local -X2000 --no-mixed --no-discordant)'
        file_format: 'tsv'
        plot_type: 'linegraph'
        pconfig:
            id: 'bowtie2_isize_plot'
            title: 'Insert sizes for proper pairs'
            xlab: 'Insert size'
            ylab: 'Count'
sp:
    bowtie2_isize_section:
        fn: '*.bowtie2_isizes.tsv'

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc
cd $SCRATCH/byteclub/multiqc
rsync -avrP --delete /work/projects/BioITeam/projects/byteclub/multiqc/06_custom_linegraph/ .

Then the usual...

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc; rm -rf mqc_report*; multiqc .

Resulting in a report that includes our inset size distribution data the custom data section we configured: http://web.corral.tacc.utexas.edu/iyer/byteclub/multiqc/06_custom_linegraph.mqc_report.html, with a new section called Bowtie2 insert size.

What's cool is that this "sawtooth" insert size distribution occurs because of the way transposons insert into the major groove of DNA at regular intervals. So this graph shows Igor that his ATAC-seq proof-of-concept experiment worked!

Adding custom bargraphs

Here we'll create two custom bargraph reports, one for bowtie2 mapping qualities and a second showing genome coverage of the alignments.

The data files for both reports are pretty simple, but it took a bit of scripting to create them. So let's just use pre-made copies:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc
cp /work/projects/BioITeam/projects/byteclub/multiqc/07_custom_bargraph/for_multiqc/*mapq*      for_multiqc/
cp /work/projects/BioITeam/projects/byteclub/multiqc/07_custom_bargraph/for_multiqc/*genomecov* for_multiqc/

There is one mapping quality histogram for each dataset, with category names in the 1st column and counts in the 2nd. The 50k dataset file looks like this:

Code Block

title	brain_50k_nuclei.mapq_histogram.tsv

q0	    137354
1-9	    671546
10-19	1081868
20-29	1945926
30-39	1508496
40+	    12930272

There is just one data file for genome coverage. Unlike the per-sample files, it has a header, with dataset names in the 1st column, followed by category names and their counts in subsequent columns. (I've re-formatted the data below for readability, but remember that all .tsv file data must be tab-separated.)

Code Block

title	combined_genomecov.tsv

sample      none        1-2        3-10       11-50     51+
5k_nuclei   2140984435  237947623  308665107  38729079  4545530
50k_nuclei  2175228345  351105871  186361275  17356704  819579

Here we edit the multiqc_config.yaml configuration file to add appropriate custom data sections:

Code Block

title	multiqc_config.yaml

# Titles to use for the report.
title: "ATAC-Seq QC Reports"
subtitle: null
intro_text: "MultiQC reports for Igor's ATAC-Seq proof-of-concept project."
report_header_info:
    - Sequenced by: 'GSAF'
    - Job: 'JA17277'
    - Run: 'SA17121'
    - Setup: '2x150'

# Change the output filenames
output_fn_name: mqc_report.html
data_dir_name: mqc_report_data

# Ignore these files / directories / paths when searching for reports
fn_ignore_files:
    - '*.dupinfo.txt'

# Modules that should come at the top of the report
top_modules:
    - 'generalstats'
    - 'fastqc'
    - 'samtools'
    - 'picard'

# --------------------------------
# Custom data
# --------------------------------
custom_content:
  order:
    - bowtie2_isize_section
    - bowtie2_mapq_section
    - genome_coverage_section
custom_data:
    bowtie2_isize:
        id: 'bowtie2_isize_section'
        section_name: 'Bowtie2 insert size'
        description: 'distribution for alignments (bowtie2 --local -X2000 --no-mixed --no-discordant)'
        file_format: 'tsv'
        plot_type: 'linegraph'
        pconfig:
            id: 'bowtie2_isize_plot'
            title: 'Insert sizes for proper pairs'
            xlab: 'Insert size'
            ylab: 'Count'
    bowtie2_mapq:
        id: 'bowtie2_mapq_section'
        section_name: 'Mapping quality'
        description: 'distribution for aligned reads before filtering'
        file_format: 'tsv'
        plot_type: 'bargraph'
        pconfig:
            id: 'bowtie2_mapq_plot'
            title: 'Mapping quality scores'
            ymax: 60000000
    genome_coverage:
        id: 'genome_coverage_section'
        section_name: 'Genome coverage'
        description: 'of mapped inserts (bedtools genomecov -fs), grouped into coverage count catgories'
        file_format: 'tsv'
        plot_type: 'bargraph'
        pconfig:
            id: 'genome_coverage_plot'
            title: 'Position coverage by coverage count category'
            logswitch: True
            stacking: null
sp:
    bowtie2_isize_section:
        fn: '*.bowtie2_isizes.tsv'
    bowtie2_mapq_section:

        fn: '*.mapq_histogram.tsv'
    genome_coverage_section:
        fn: 'combined_genomecov.tsv'
 
# file suffixes to remove when generating sample names...
extra_fn_clean_exts:
    - type: 'replace'
      pattern: '.mapq_histogram.tsv'
    - type: 'replace'
      pattern: '.genomecov.tsv'

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc
cd $SCRATCH/byteclub/multiqc
rsync -avrP --delete /work/projects/BioITeam/projects/byteclub/multiqc/07_custom_bargraph/ .

Then the usual...

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc; rm -rf mqc_report*; multiqc .

Resulting in a report that includes our new Mapping quality and Genome coverage sections, that should look like this: http://web.corral.tacc.utexas.edu/iyer/byteclub/multiqc/07_custom_bargraph.mqc_report.html.

Making MultiQC run faster and be less confused

By default, MultiQC scans all files in the analysis directory you specify. This can take quite a while for complex directory hierarchies with many files that will not be used by MultiQC.

Additionally, MultiQC can get confused when the same (or similar) data is found in different files, or in different directories.

To address these issues, it is a good practice to copy everything you want MultiQC to process into a single directory, then either specify just that directory on the multiqc command line (e.g. multiqc for_multiqc), or exclude other directories in the multiqc_config.yaml file.

For example, here we can stage all the reports we want MultiQC to process in our for_multiqc directory:

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc/for_fastqc
ln -s -f ../fastqc
cp -p ../bowtie2/*.flagstat.txt  .
cp -p ../bowtie2/*.idxstats.txt  .

Your for_multiqc directory should now everything we want MultiQC to use:

Code Block

brain_50k_nuclei.bowtie2_isizes.tsv
brain_50k_nuclei.dupmetrics.txt
brain_50k_nuclei.flagstat.txt
brain_50k_nuclei.idxstats.txt
brain_50k_nuclei.mapq_histogram.tsv
brain_5k_nuclei.bowtie2_isizes.tsv
brain_5k_nuclei.dupmetrics.txt
brain_5k_nuclei.flagstat.txt
brain_5k_nuclei.idxstats.txt
brain_5k_nuclei.mapq_histogram.tsv
combined_genomecov.tsv
fastqc

Expand

title	Catch up

To catch up, just use Anna's pre-made files:

Code Block

language	bash

mkdir -p $SCRATCH/byteclub/multiqc
cd $SCRATCH/byteclub/multiqc
rsync -avrP --delete /work/projects/BioITeam/projects/byteclub/multiqc/08_final/ .

Run MultiQC again, but this time just point it

Code Block

language	bash

cd $SCRATCH/byteclub/multiqc
rm -rf mqc_report*
multiqc for_multiqc

Alternatively, you could exclude the bowtie2 directory entirely via a fn_ignore_dirs section list item in multiqc_config.yaml, like this: x

References

Main MultiQC links

...

Below are descriptions of two projects I've assisted with lately using MultiQC to help pull together visualizations assessing experiment quality.

...

I recommend using Chrome to view MultiQC reports.

...

.

These example MultiQC reports below were generated by running the multiqc binary on a command line.
After inspecting them locally (by just opening them as files in a web browser), they were copied to a web-accessible location to share with others. Here, that location is Iyer Lab's web-accessible directory on on corral.

Igor Ponomarev ATAC-seq data

...

Space shortcuts

Page tree

Versions Compared

Old Version 27

New Version Current

Key

Code Workshop

Setup to follow along

Produce a consolidated FastQC report

Produce a consolidated FastQC report

Add a few customizations

Adding a custom bargraph

Making MultiQC run faster and be less confused

Adding custom bargraphs

Making MultiQC run faster and be less confused

References

Main MultiQC links

Igor Ponomarev ATAC-seq data