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If you use plots from MultiQC in a publication or presentation, please cite:

MultiQC: Summarize analysis results for multiple tools and samples in a single report
Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

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About MultiQC

This report was generated using MultiQC, version 1.0.dev0

You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

MultiQC is published in Bioinformatics:

MultiQC: Summarize analysis results for multiple tools and samples in a single report
Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

Report generated on 2017-04-24, 17:04 based on data in: /home/gencore/fastqc-delivery/000000000-AYAYN/1

General Statistics

Showing ⁸⁰/₈₀ rows and ³/₅ columns.

Sample Name	% Dups	% GC	Length	% Failed	M Seqs
000000000-AYAYN_l01n01_2001_day_1_ll-e.3510000008bbd0	60.3%	41%	151	33%	0.3
000000000-AYAYN_l01n01_2008_day_3_ul-b.3510000008bc08	81.7%	44%	151	33%	0.3
000000000-AYAYN_l01n01_2012_day_5_ll-e.3510000008bc9c	84.4%	44%	151	33%	0.3
000000000-AYAYN_l01n01_2012_day_5_ul-b.3510000008bc3f	82.4%	44%	151	25%	0.3
000000000-AYAYN_l01n01_2015_day_8_ll-e.3510000008bbfa	65.6%	41%	151	33%	0.3
000000000-AYAYN_l01n01_2183_day_1_ll-e.3510000008bc72	87.0%	44%	151	33%	0.3
000000000-AYAYN_l01n01_2183_day_1_ul-b.3510000008bc65	81.0%	44%	151	25%	0.3
000000000-AYAYN_l01n01_2184_day_1_ll-e.3510000008bc59	82.9%	44%	151	33%	0.3
000000000-AYAYN_l01n01_2184_day_1_ul-b.3510000008bbc3	83.5%	44%	151	42%	0.2
000000000-AYAYN_l01n01_2187_day_3_ll-e.3510000008bbed	86.7%	44%	151	33%	0.3
000000000-AYAYN_l01n01_2417_day_1_ul-b.3510000008bc22	61.3%	42%	151	25%	0.2
000000000-AYAYN_l01n01_2418_day_1_ll-e.3510000008bc8f	83.1%	44%	151	33%	0.3
000000000-AYAYN_l01n01_2420_day_3_ll-e.3510000008bc15	87.7%	44%	151	42%	0.3
000000000-AYAYN_l01n01_2426_day_5_ul-b.3510000008bbb6	81.8%	44%	151	25%	0.3
000000000-AYAYN_l01n01_2427_day_5_ul-b.3510000008bc4c	58.2%	41%	151	33%	0.3
000000000-AYAYN_l01n01_a549_18s_rrna_1.3510000008bcdf	93.9%	60%	151	17%	0.2
000000000-AYAYN_l01n01_a549_18s_rrna_2.3510000008bcec	92.8%	60%	151	33%	0.2
000000000-AYAYN_l01n01_hrv14-5c-c2-1_52c.3510000008bd07	86.3%	42%	151	25%	0.5
000000000-AYAYN_l01n01_hrv14-5c-c2-1_57c.3510000008bd4b	86.8%	42%	151	33%	0.5
000000000-AYAYN_l01n01_hrv14-5c-c2-4_52c.3510000008bd14	88.7%	42%	151	25%	0.5
000000000-AYAYN_l01n01_hrv14-5c-c3-1_52c.3510000008bd21	85.3%	41%	151	25%	0.4
000000000-AYAYN_l01n01_hrv14-5c-c3-1_57c.3510000008bd58	86.4%	42%	151	25%	0.5
000000000-AYAYN_l01n01_hrv14-5c-c3-4_52c.3510000008bd3e	87.5%	42%	151	25%	0.4
000000000-AYAYN_l01n01_library_prep_negative_control_1.3510000008bdf8	0.8%	63%	151	17%	0.0
000000000-AYAYN_l01n01_library_prep_negative_control_2.3510000008be06	0.9%	63%	151	25%	0.0
000000000-AYAYN_l01n01_library_prep_negative_control_3.3510000008be13	1.3%	63%	151	25%	0.0
000000000-AYAYN_l01n01_library_prep_negative_control_4.3510000008be20	0.2%	64%	151	17%	0.0
000000000-AYAYN_l01n01_library_prep_negative_control_lp_cb7-9_2.3510000008bcf9	0.3%	64%	151	25%	0.0
000000000-AYAYN_l01n01_negative_rt-pcr_control_l_cb7-9_2.3510000008bca9	16.4%	58%	151	33%	0.0
000000000-AYAYN_l01n01_ny238_plasmid_mix2_lp_cb7-9_2.3510000008bcc2	86.2%	47%	151	25%	0.2
000000000-AYAYN_l01n01_viral_strain_aliquot_lp_cb7-9_2.3510000008bcb5	87.8%	44%	151	25%	0.3
000000000-AYAYN_l01n01_zika-her-be.3510000008bdc1	87.6%	49%	151	17%	0.5
000000000-AYAYN_l01n01_zika-her-dmso.3510000008bdde	92.6%	49%	151	17%	0.5
000000000-AYAYN_l01n01_zika-her-reg.3510000008bdb4	91.9%	49%	151	17%	0.4
000000000-AYAYN_l01n01_zika-la-10.3510000008bd64	78.5%	50%	151	17%	0.3
000000000-AYAYN_l01n01_zika-la-100.3510000008bd71	75.5%	53%	151	42%	0.1
000000000-AYAYN_l01n01_zika-la-1000.3510000008bd8e	84.7%	54%	151	42%	0.1
000000000-AYAYN_l01n01_zika-la-10000.3510000008bd9b	77.7%	55%	151	58%	0.0
000000000-AYAYN_l01n01_zika-la-100000.3510000008bda8	90.2%	55%	151	33%	0.1
000000000-AYAYN_l01n01_zymobiomics_community_standard.3510000008bdeb	3.4%	43%	151	25%	0.6
000000000-AYAYN_l01n02_2001_day_1_ll-e.3520000008bbdd	60.0%	41%	151	33%	0.3
000000000-AYAYN_l01n02_2008_day_3_ul-b.3520000008bc05	81.3%	44%	151	33%	0.3
000000000-AYAYN_l01n02_2012_day_5_ll-e.3520000008bc99	83.6%	44%	151	33%	0.3
000000000-AYAYN_l01n02_2012_day_5_ul-b.3520000008bc3c	81.5%	44%	151	25%	0.3
000000000-AYAYN_l01n02_2015_day_8_ll-e.3520000008bbf7	64.9%	41%	151	42%	0.3
000000000-AYAYN_l01n02_2183_day_1_ll-e.3520000008bc7f	86.6%	45%	151	33%	0.3
000000000-AYAYN_l01n02_2183_day_1_ul-b.3520000008bc62	79.1%	44%	151	25%	0.3
000000000-AYAYN_l01n02_2184_day_1_ll-e.3520000008bc56	82.7%	44%	151	33%	0.3
000000000-AYAYN_l01n02_2184_day_1_ul-b.3520000008bbc0	82.8%	44%	151	42%	0.2
000000000-AYAYN_l01n02_2187_day_3_ll-e.3520000008bbea	84.6%	44%	151	33%	0.3
000000000-AYAYN_l01n02_2417_day_1_ul-b.3520000008bc2f	61.7%	42%	151	25%	0.2
000000000-AYAYN_l01n02_2418_day_1_ll-e.3520000008bc8c	82.4%	44%	151	33%	0.3
000000000-AYAYN_l01n02_2420_day_3_ll-e.3520000008bc12	86.9%	44%	151	33%	0.3
000000000-AYAYN_l01n02_2426_day_5_ul-b.3520000008bbb3	80.8%	44%	151	25%	0.3
000000000-AYAYN_l01n02_2427_day_5_ul-b.3520000008bc49	56.5%	41%	151	25%	0.3
000000000-AYAYN_l01n02_a549_18s_rrna_1.3520000008bcdc	92.2%	61%	151	25%	0.2
000000000-AYAYN_l01n02_a549_18s_rrna_2.3520000008bce9	89.3%	60%	151	25%	0.2
000000000-AYAYN_l01n02_hrv14-5c-c2-1_52c.3520000008bd04	84.6%	42%	151	25%	0.5
000000000-AYAYN_l01n02_hrv14-5c-c2-1_57c.3520000008bd48	86.1%	42%	151	25%	0.5
000000000-AYAYN_l01n02_hrv14-5c-c2-4_52c.3520000008bd11	87.2%	42%	151	25%	0.5
000000000-AYAYN_l01n02_hrv14-5c-c3-1_52c.3520000008bd2e	83.7%	41%	151	25%	0.4
000000000-AYAYN_l01n02_hrv14-5c-c3-1_57c.3520000008bd55	85.5%	41%	151	25%	0.5
000000000-AYAYN_l01n02_hrv14-5c-c3-4_52c.3520000008bd3b	86.9%	42%	151	25%	0.4
000000000-AYAYN_l01n02_library_prep_negative_control_1.3520000008bdf5	0.5%	63%	151	17%	0.0
000000000-AYAYN_l01n02_library_prep_negative_control_2.3520000008be03	0.7%	64%	151	25%	0.0
000000000-AYAYN_l01n02_library_prep_negative_control_3.3520000008be10	0.8%	63%	151	17%	0.0
000000000-AYAYN_l01n02_library_prep_negative_control_4.3520000008be2d	0.3%	64%	151	17%	0.0
000000000-AYAYN_l01n02_library_prep_negative_control_lp_cb7-9_2.3520000008bcf6	0.4%	64%	151	17%	0.0
000000000-AYAYN_l01n02_negative_rt-pcr_control_l_cb7-9_2.3520000008bca6	16.8%	59%	151	25%	0.0
000000000-AYAYN_l01n02_ny238_plasmid_mix2_lp_cb7-9_2.3520000008bccf	84.8%	47%	151	25%	0.2
000000000-AYAYN_l01n02_viral_strain_aliquot_lp_cb7-9_2.3520000008bcb2	85.6%	44%	151	25%	0.3
000000000-AYAYN_l01n02_zika-her-be.3520000008bdce	87.0%	49%	151	17%	0.5
000000000-AYAYN_l01n02_zika-her-dmso.3520000008bddb	92.1%	49%	151	17%	0.5
000000000-AYAYN_l01n02_zika-her-reg.3520000008bdb1	91.0%	49%	151	17%	0.4
000000000-AYAYN_l01n02_zika-la-10.3520000008bd61	77.2%	50%	151	17%	0.3
000000000-AYAYN_l01n02_zika-la-100.3520000008bd7e	75.0%	53%	151	33%	0.1
000000000-AYAYN_l01n02_zika-la-1000.3520000008bd8b	84.2%	54%	151	42%	0.1
000000000-AYAYN_l01n02_zika-la-10000.3520000008bd98	67.1%	56%	151	67%	0.0
000000000-AYAYN_l01n02_zika-la-100000.3520000008bda5	90.3%	55%	151	33%	0.1
000000000-AYAYN_l01n02_zymobiomics_community_standard.3520000008bde8	3.5%	43%	151	17%	0.6

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order.

Sort	Group	Column	Description	ID	Scale
\|\|	FastQC	% Dups	% Duplicate Reads	`percent_duplicates`	None
\|\|	FastQC	% GC	Average % GC Content	`percent_gc`	None
\|\|	FastQC	Length	Average Sequence Length (bp)	`avg_sequence_length`	None
\|\|	FastQC	% Failed	Percentage of modules failed in FastQC report (includes those not plotted here)	`percent_fails`	None
\|\|	FastQC	M Seqs	Total Sequences (millions)	`total_sequences`	read_count

FastQC

FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

Sequence Quality Histograms

The mean quality value across each base position in the read. See the FastQC help.

Per Sequence Quality Scores

The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

Per Base Sequence Content

The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

Click a heatmap row to see a line plot for that dataset.

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Position: -

%T: -

%C: -

%A: -

%G: -

Per Sequence GC Content

The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. See the FastQC help.

Per Base N Content

The percentage of base calls at each position for which an N was called. See the FastQC help.

Sequence Length Distribution

All samples have sequences of a single length (151bp).

Sequence Duplication Levels

The relative level of duplication found for every sequence. See the FastQC help.

Overrepresented sequences

The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

Adapter Content

The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

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General Statistics

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FastQC

Sequence Quality Histograms

Per Sequence Quality Scores

Per Base Sequence Content

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Per Sequence GC Content

Per Base N Content

Sequence Length Distribution

Sequence Duplication Levels

Overrepresented sequences

Adapter Content

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