Project name: umgc_563
Run name: umgc_563
Read type: Single-end 151bp
Samples: 7
Total reads: 13,934,928
Mean reads per sample: 1,990,704
Report generated: Wed Jan 25 11:40:00 CST 2023
Enzyme: sbfi-taqi
general.projectname | general.readlength | general.runname | subsample.rawreads | subsample.subsampledreads | fastqc.meanreadqualityR1 | fastqc.pct.adapter | fastqc.pct.deduplicated | fastqc.pct.dimer | fastqc.pct.gc | fastqc.sequencelength | fastqc.totalsequences | gbstrim.inputreads | gbstrim.no3cutsite | gbstrim.no5cutsite | gbstrim.pct.A | gbstrim.pct.ACAGA | gbstrim.pct.AGGTCCAA | gbstrim.pct.CAG | gbstrim.pct.CTCCGA | gbstrim.pct.GAATCGA | gbstrim.pct.GCTA | gbstrim.pct.TCACGCTCA | gbstrim.pct.TG | gbstrim.pct.no3cutsite | gbstrim.pct.no5cutsite | gbstrim.pct.no_padding | gbstrim.pct.readswithtrailingadapter | gbstrim.pct.removed | gbstrim.pct.tooshort | gbstrim.readswithtrailingadapter | gbstrim.removed | gbstrim.tooshort | picardalignmentplot.pct_alignedreads | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NA12878 | umgc_563 | 151 | umgc_563 | 1644435 | 1644435 | 32.00 | 6.75 | 26.21 | 0.01 | 53.00 | 151 | 1644435 | 1644435 | 66759.00 | 102791.0 | 12.62 | 11.75 | 8.30 | 9.06 | 5.08 | 0.17 | 9.07 | 7.53 | 11.69 | 4.06 | 6.25 | 14.41 | 35.56 | 10.31 | 0 | 584745.0 | 169550.0 | 0.00 | 96.00 |
NA24143 | umgc_563 | 151 | umgc_563 | 1842306 | 1842306 | 32.30 | 4.50 | 25.96 | 0.02 | 53.00 | 151 | 1842306 | 1842306 | 69496.00 | 119015.0 | 12.47 | 11.76 | 8.52 | 8.68 | 4.96 | 0.35 | 9.13 | 7.93 | 11.65 | 3.77 | 6.46 | 14.32 | 25.65 | 10.23 | 0 | 472613.0 | 188511.0 | 0.00 | 97.01 |
NA24149 | umgc_563 | 151 | umgc_563 | 2307539 | 2307539 | 32.60 | 5.03 | 25.05 | 0.03 | 53.00 | 151 | 2000000 | 2307539 | 88138.00 | 139616.0 | 12.21 | 11.73 | 8.60 | 9.18 | 5.73 | 0.28 | 8.93 | 8.11 | 11.62 | 3.82 | 6.05 | 13.74 | 27.94 | 9.87 | 0 | 644757.0 | 227754.0 | 0.00 | 98.72 |
NA24385 | umgc_563 | 151 | umgc_563 | 1978176 | 1978176 | 32.00 | 6.08 | 25.66 | 0.02 | 53.00 | 151 | 1978176 | 1978176 | 82773.00 | 132466.0 | 12.14 | 11.31 | 8.14 | 9.23 | 5.45 | 0.23 | 9.34 | 7.74 | 11.43 | 4.18 | 6.70 | 14.09 | 32.54 | 10.88 | 0 | 643685.0 | 215239.0 | 0.00 | 99.00 |
NA24631 | umgc_563 | 151 | umgc_563 | 2007399 | 2007399 | 32.50 | 4.85 | 24.84 | 0.02 | 53.00 | 151 | 2000000 | 2007399 | 75627.00 | 117517.0 | 12.60 | 11.95 | 8.62 | 8.82 | 5.32 | 0.19 | 9.10 | 7.96 | 11.76 | 3.77 | 5.85 | 14.05 | 27.05 | 9.62 | 0 | 543015.0 | 193144.0 | 0.00 | 98.27 |
NA24694 | umgc_563 | 151 | umgc_563 | 1734200 | 1734200 | 32.10 | 5.89 | 26.42 | 0.02 | 53.00 | 151 | 1734200 | 1734200 | 66378.00 | 112914.0 | 12.52 | 11.73 | 8.23 | 9.20 | 5.30 | 0.21 | 9.09 | 7.56 | 11.46 | 3.83 | 6.51 | 14.36 | 31.91 | 10.34 | 0 | 553322.0 | 179292.0 | 0.00 | 98.76 |
NA24695 | umgc_563 | 151 | umgc_563 | 2420874 | 2420874 | 32.50 | 6.34 | 23.63 | 0.03 | 54.00 | 151 | 2000000 | 2420874 | 92343.00 | 133913.0 | 12.33 | 11.84 | 8.52 | 9.35 | 6.15 | 0.19 | 8.86 | 8.00 | 11.60 | 3.81 | 5.53 | 13.81 | 32.12 | 9.35 | 0 | 777502.0 | 226259.0 | 3.00 | 90.95 |
Mean | undef | 151 | umgc_563 | 1990704 | 1990704 | 32.29 | 5.63 | 25.40 | 0.02 | 53.14 | 151 | 1885588 | 1990704 | 77359.14 | 122604.6 | 12.41 | 11.72 | 8.42 | 9.07 | 5.43 | 0.23 | 9.07 | 7.83 | 11.60 | 3.89 | 6.19 | 14.11 | 30.40 | 10.09 | 0 | 602805.6 | 199964.1 | 0.43 | 96.96 |
Order samples by
The number of reads per sample at the start of the analysis is shown.
This plot shows the mean base quality score for each position in a fastq file. The higher the score the better the base call. Green indicates very good quality, yellow indicates reasonable quality, and red indicates poor quality. The quality of calls degrade as the sequencing run progresses, so it is common to see base calls turning yellow towards the end of a read. It is common to see base calls turning red in short insert libraries (16s/18s, small RNA, amplicon). This metric is calculated by FastQC.
This plot shows the cumulative proportion of each sample in which sequencing adapter sequences have been seen at each position. Once an adapter sequence has been seen in a read it is counted as being present right through to the end of the read so the percentages only increase as the read length goes on. It is common to see significant adapter sequence content at the ends of reads in short insert libraries (16s/18s, small RNA, amplicon). This metric is calculated by FastQC.
This plot shows the percentage of reads that remain after deduplication (removing duplicated sequences), which is a measure of library diversity. Sequence data from genomic DNA libraries typically have high library diversity, and data from targeted sequencing libraries typically have low diversity. This metric is calculated by FastQC.
The percent of reads discarded by GBStrim is shown. Less than 10% is good. Less than 20% is OK. Higher than 20% is unusual. Reads are removed if no 5’ cut site is found, if sequencing adapter is removed from the 3’ end but no 3’ cut site is found, or if the trimmed read is too short. Specifying the incorrect enzymes or specifying them in the wrong order are the most common causes of a high percent of discarded reads.
Percent of reads aligned to reference is shown. These metrics are calculated by Picard collectalignmentsummarymetrics
This is a Principal Components (PCA) plot. The first three principal components are shown, and the percent of total variation explained by each component is shown in the axis titles. Samples with similar characteristics appear close to each other, and samples with dissimilar characteristics are farther apart. Ideally samples will cluster by experimental condition and not by batch or other technical effects.
The mean read depth across all variants per sample is shown.
The fraction of missing genotype calls per sample is shown.
The fraction of missing genotype calls per site is shown.
Each point in the plot is a chromosome or scaffold in the reference genome assembly, plotted by chromosome length (x axis) and # of markers on the chromosome (y axis). Longer chromosomes should have more markers and shorter chromosmes should have fewer markers. Pseudo-chromosomes composed of unplaced contigs often have unexpectedly high or low numbers of markers.
The output folder generated by this analysis pipeline contains the following folders and files:
fastqc/ FastQC html files
variants.vcf.gz VCF variant file (compressed) containing 7 samples and 12308 markers on 7481 loci
variants.filt.vcf.gz Filtered VCF variant file (compressed) containing 7 samples and 9252 markers on 6094 loci
- Samples with > 50% missing genotypes, and variants with genotype calls in less than 95% of samples are removed; variants with maf < 1% are removed
- 0 samples removed:
One of the following adapter sequences is expected to be present at the beginning of each read in the raw fastq files:
[no adapter sequence present]
A
TG
CAG
GCTA
ACAGA
CTCCGA
GAATCGA
AGGTCCAA
TCACGCTCA
Some reads may read through into the Illumina adapter sequnce which begins with CTGTCTCTTATACACATCTCCGAG
The GBS dataset was analyzed using the reference /panfs/jay/groups/29/umii/public/ensembl/Homo_sapiens/GRCh38/bwa//genome. Quality of data in fastq files was assessed with FastQC. GBStrim.pl was used to trim 5’ padding sequences and readthrough into 3’ padding sequences (https://bitbucket.org/jgarbe/gbstrim). BWA mem was used to align reads to a reference genome (/panfs/jay/groups/29/umii/public/ensembl/Homo_sapiens/GRCh38/bwa//genome). The bam alignment files were sorted and indexed with Samtools. Regions of bam files with more than 500 reads were downsampled to a depth of 500 reads using VariantBam. Freebayes was used to call variants jointly across all samples using the options ‘–use-best-n-alleles 6 –min-coverage 14’. The raw VCF file generated by Freebayes was filtered to remove the lowest quality variants using vcffilter with the options ‘-f “QUAL > 20”’. Alignment rates were summarized with Picard.