These samples were run by seq2science v1.0.1, a tool for easy preprocessing of NGS data.
Take a look at our docs for info about how to use this report to the fullest.
- Workflow
- rna-seq
- Date
- July 17, 2023
- Project
- rna
- Contact E-mail
- none@provided.com
Report generated on 2023-07-18, 05:54 CEST based on data in:
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606184.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606228.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM919958.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606328.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM919931.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/final_bam/UCB_Xtro_10.0-GSM1606228.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606209.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/final_bam/UCB_Xtro_10.0-GSM1606244.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606335.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606238.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/InsertSizeMetrics/UCB_Xtro_10.0-GSM1606326.tsv
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/InsertSizeMetrics/UCB_Xtro_10.0-GSM1606341.tsv
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/InsertSizeMetrics/UCB_Xtro_10.0-GSM919931.tsv
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606359.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM1606265.samtools-coordinate.metrics.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/final_bam/UCB_Xtro_10.0-GSM1606234.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606264.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/star/UCB_Xtro_10.0-GSM1606270.samtools-coordinate-unsieved.bam.mtnucratiomtnuc.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM919922.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606239.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606250.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM1606202.samtools-coordinate.metrics.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM1606353.samtools-coordinate.metrics.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606367.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606199.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM919952.samtools-coordinate.metrics.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM1606199.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/InsertSizeMetrics/UCB_Xtro_10.0-GSM1606187.tsv
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/final_bam/UCB_Xtro_10.0-GSM919957.samtools-coordinate.samtools_stats.txt
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM1606223.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606326.fastp.json
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606218.fastp.json
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606355.strandedness.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/star/UCB_Xtro_10.0-GSM919939.samtools-coordinate-unsieved.bam.mtnucratiomtnuc.json
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/InsertSizeMetrics/UCB_Xtro_10.0-GSM1606364.tsv
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM919950.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/InsertSizeMetrics/UCB_Xtro_10.0-GSM1606197.tsv
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606343.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606190.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM1606344.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM919930.samtools-coordinate.metrics.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM919961.samtools-coordinate.samtools_stats.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/star/UCB_Xtro_10.0-GSM1606260.samtools-coordinate-unsieved.bam.mtnucratiomtnuc.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM1606251.samtools-coordinate.metrics.txt
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606258.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/star/UCB_Xtro_10.0-GSM1606222.samtools-coordinate.samtools_stats.txt
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/strandedness/UCB_Xtro_10.0-GSM1606358.strandedness.txt
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606219.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/trimming/GSM1606328.fastp.json
/bank/experiments/2023-07-xt_p300-s2s/rna/qc/markdup/UCB_Xtro_10.0-GSM919950.samtools-coordinate.metrics.txt
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/bank/experiments/2023-07-xt_p300-s2s/rna/qc/samtools_stats/final_bam/UCB_Xtro_10.0-GSM1606181.samtools-coordinate.samtools_stats.txt
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Change sample names:
General Statistics
Showing 185/185 rows and 14/29 columns.Sample Name | % Duplication | M Reads After Filtering | GC content | % PF | % Adapter | Insert Size | % Dups | % Mapped | M Total seqs | % Proper Pairs | M Total seqs | Genome coverage | M Genome reads | M MT genome reads |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GSM1606175 | 5.2% | 34.1 | 44.9% | 96.9% | 1.0% | 172 bp | 9.1% | 100.0% | 32.8 | 100.0% | 32.5 | 1.7 X | 33.1 | 0.4 |
GSM1606176 | 7.3% | 53.0 | 45.1% | 97.4% | 1.0% | 172 bp | 11.9% | 100.0% | 50.6 | 100.0% | 50.1 | 2.7 X | 51.2 | 0.6 |
GSM1606177 | 7.8% | 48.2 | 44.9% | 90.5% | 0.9% | 169 bp | 10.3% | 100.0% | 45.3 | 100.0% | 44.9 | 2.4 X | 45.9 | 0.5 |
GSM1606178 | 4.7% | 40.9 | 44.8% | 97.4% | 0.9% | 169 bp | 8.4% | 100.0% | 39.6 | 100.0% | 39.2 | 2.1 X | 40.1 | 0.4 |
GSM1606179 | 4.6% | 48.1 | 44.7% | 97.7% | 1.0% | 167 bp | 8.4% | 100.0% | 46.5 | 100.0% | 46.0 | 2.5 X | 47.2 | 0.4 |
GSM1606180 | 5.3% | 74.7 | 44.6% | 97.7% | 0.8% | 168 bp | 9.8% | 100.0% | 72.6 | 100.0% | 71.9 | 3.9 X | 73.7 | 0.7 |
GSM1606181 | 5.4% | 75.6 | 44.5% | 97.3% | 0.8% | 163 bp | 10.1% | 100.0% | 73.7 | 100.0% | 73.0 | 3.9 X | 74.8 | 0.6 |
GSM1606182 | 5.0% | 67.4 | 44.4% | 97.3% | 0.8% | 169 bp | 9.3% | 100.0% | 65.6 | 100.0% | 65.0 | 3.5 X | 66.7 | 0.6 |
GSM1606183 | 5.4% | 76.9 | 44.5% | 92.3% | 1.0% | 162 bp | 9.5% | 100.0% | 74.5 | 100.0% | 73.7 | 4.0 X | 75.7 | 0.7 |
GSM1606184 | 3.7% | 77.9 | 44.4% | 97.1% | 0.8% | 163 bp | 7.8% | 100.0% | 76.1 | 100.0% | 75.2 | 4.0 X | 77.4 | 0.6 |
GSM1606185 | 3.2% | 39.5 | 44.5% | 97.0% | 1.0% | 160 bp | 5.9% | 100.0% | 38.4 | 100.0% | 37.8 | 2.1 X | 39.4 | 0.3 |
GSM1606186 | 6.2% | 93.0 | 44.4% | 97.1% | 1.1% | 158 bp | 11.1% | 100.0% | 90.2 | 100.0% | 88.8 | 4.9 X | 93.2 | 0.9 |
GSM1606187 | 6.4% | 89.0 | 44.6% | 97.3% | 1.1% | 159 bp | 11.1% | 100.0% | 86.1 | 100.0% | 84.6 | 4.7 X | 89.2 | 0.9 |
GSM1606188 | 5.2% | 59.9 | 44.7% | 97.5% | 1.0% | 162 bp | 9.2% | 100.0% | 57.9 | 100.0% | 56.9 | 3.1 X | 60.0 | 0.6 |
GSM1606189 | 8.3% | 72.5 | 44.8% | 84.9% | 0.8% | 164 bp | 11.4% | 100.0% | 67.5 | 100.0% | 66.3 | 3.7 X | 69.9 | 0.9 |
GSM1606190 | 6.7% | 64.8 | 44.8% | 96.5% | 1.0% | 164 bp | 11.7% | 100.0% | 62.3 | 100.0% | 61.2 | 3.4 X | 64.6 | 0.8 |
GSM1606191 | 5.6% | 45.2 | 45.0% | 97.1% | 1.0% | 166 bp | 9.9% | 100.0% | 43.5 | 100.0% | 42.7 | 2.4 X | 45.0 | 0.7 |
GSM1606192 | 4.6% | 52.4 | 45.1% | 97.4% | 1.1% | 168 bp | 9.8% | 100.0% | 50.6 | 100.0% | 49.6 | 2.7 X | 52.5 | 0.9 |
GSM1606193 | 8.5% | 71.8 | 44.9% | 97.2% | 1.0% | 167 bp | 14.7% | 100.0% | 69.2 | 100.0% | 67.8 | 3.8 X | 71.9 | 1.1 |
GSM1606194 | 6.9% | 45.5 | 44.9% | 97.3% | 1.1% | 164 bp | 12.1% | 100.0% | 43.9 | 100.0% | 42.9 | 2.4 X | 45.6 | 0.8 |
GSM1606195 | 7.7% | 43.2 | 45.0% | 87.3% | 0.9% | 167 bp | 11.8% | 100.0% | 40.4 | 100.0% | 39.5 | 2.2 X | 42.4 | 0.5 |
GSM1606196 | 9.5% | 70.5 | 44.8% | 96.9% | 1.1% | 163 bp | 16.1% | 100.0% | 67.8 | 100.0% | 66.3 | 3.7 X | 70.6 | 1.3 |
GSM1606197 | 10.5% | 82.5 | 44.9% | 97.1% | 1.1% | 165 bp | 17.7% | 100.0% | 79.7 | 100.0% | 77.9 | 4.4 X | 83.4 | 1.4 |
GSM1606198 | 9.7% | 81.3 | 45.0% | 97.1% | 1.1% | 171 bp | 16.4% | 100.0% | 78.6 | 100.0% | 76.8 | 4.3 X | 82.4 | 1.0 |
GSM1606199 | 8.2% | 50.5 | 44.8% | 97.1% | 1.5% | 150 bp | 14.4% | 100.0% | 48.9 | 100.0% | 47.8 | 2.7 X | 51.0 | 1.0 |
GSM1606200 | 8.1% | 63.4 | 44.9% | 97.1% | 0.7% | 164 bp | 14.2% | 100.0% | 61.4 | 100.0% | 59.9 | 3.4 X | 64.4 | 1.1 |
GSM1606201 | 9.8% | 86.5 | 45.0% | 92.1% | 0.7% | 163 bp | 16.5% | 100.0% | 83.1 | 100.0% | 81.2 | 4.5 X | 86.9 | 1.6 |
GSM1606202 | 9.3% | 74.8 | 44.9% | 96.8% | 0.8% | 161 bp | 15.7% | 100.0% | 72.3 | 100.0% | 70.6 | 4.0 X | 75.7 | 1.4 |
GSM1606203 | 8.0% | 75.1 | 44.8% | 97.2% | 0.8% | 162 bp | 14.4% | 100.0% | 72.9 | 100.0% | 71.1 | 4.0 X | 76.5 | 1.3 |
GSM1606204 | 8.1% | 71.1 | 44.8% | 97.3% | 0.7% | 163 bp | 14.3% | 100.0% | 69.1 | 100.0% | 67.5 | 3.8 X | 72.5 | 1.3 |
GSM1606205 | 8.4% | 82.9 | 44.8% | 97.2% | 0.7% | 166 bp | 14.7% | 100.0% | 80.6 | 100.0% | 78.6 | 4.4 X | 84.8 | 1.4 |
GSM1606206 | 8.7% | 86.5 | 44.8% | 97.3% | 0.7% | 162 bp | 15.1% | 100.0% | 84.2 | 100.0% | 82.2 | 4.6 X | 88.5 | 1.5 |
GSM1606207 | 7.1% | 74.9 | 45.0% | 94.6% | 0.7% | 167 bp | 12.9% | 100.0% | 72.6 | 100.0% | 70.8 | 4.0 X | 77.0 | 0.9 |
GSM1606208 | 7.0% | 55.0 | 44.9% | 97.1% | 0.8% | 160 bp | 12.1% | 100.0% | 53.4 | 100.0% | 52.1 | 3.0 X | 56.4 | 0.6 |
GSM1606209 | 8.3% | 71.4 | 44.9% | 97.3% | 0.9% | 158 bp | 14.1% | 100.0% | 69.4 | 100.0% | 67.8 | 3.8 X | 73.0 | 1.1 |
GSM1606210 | 7.8% | 64.0 | 44.9% | 97.3% | 0.9% | 159 bp | 13.3% | 100.0% | 62.2 | 100.0% | 60.7 | 3.4 X | 65.4 | 0.9 |
GSM1606211 | 8.1% | 67.5 | 44.9% | 97.3% | 0.9% | 158 bp | 13.8% | 100.0% | 65.7 | 100.0% | 64.2 | 3.6 X | 68.6 | 1.2 |
GSM1606212 | 9.0% | 84.1 | 44.9% | 97.4% | 0.9% | 158 bp | 15.0% | 100.0% | 81.7 | 100.0% | 79.8 | 4.5 X | 85.5 | 1.5 |
GSM1606213 | 7.6% | 64.2 | 44.8% | 95.0% | 0.8% | 159 bp | 13.0% | 100.0% | 62.3 | 100.0% | 60.9 | 3.4 X | 65.1 | 1.0 |
GSM1606214 | 7.1% | 60.6 | 44.8% | 97.2% | 0.8% | 160 bp | 12.5% | 100.0% | 59.1 | 100.0% | 57.7 | 3.2 X | 61.8 | 0.9 |
GSM1606215 | 7.5% | 67.0 | 44.9% | 97.5% | 0.8% | 160 bp | 13.0% | 100.0% | 65.4 | 100.0% | 64.0 | 3.6 X | 68.3 | 1.1 |
GSM1606216 | 8.5% | 81.4 | 45.0% | 97.2% | 0.8% | 160 bp | 14.5% | 100.0% | 79.4 | 100.0% | 77.7 | 4.3 X | 82.8 | 1.3 |
GSM1606217 | 6.9% | 72.3 | 44.7% | 96.5% | 0.8% | 157 bp | 13.0% | 100.0% | 70.5 | 100.0% | 68.9 | 3.9 X | 73.9 | 0.8 |
GSM1606218 | 8.1% | 85.1 | 44.8% | 96.7% | 0.8% | 158 bp | 14.7% | 100.0% | 82.9 | 100.0% | 81.1 | 4.6 X | 87.2 | 0.7 |
GSM1606219 | 7.4% | 97.2 | 44.6% | 93.5% | 0.7% | 166 bp | 14.5% | 100.0% | 94.9 | 100.0% | 92.9 | 5.1 X | 98.4 | 1.8 |
GSM1606220 | 6.7% | 80.7 | 44.6% | 96.1% | 0.7% | 165 bp | 13.2% | 100.0% | 78.8 | 100.0% | 77.1 | 4.3 X | 82.2 | 1.3 |
GSM1606221 | 6.8% | 71.0 | 44.7% | 96.6% | 0.7% | 163 bp | 13.0% | 100.0% | 69.4 | 100.0% | 67.9 | 3.8 X | 71.8 | 1.4 |
GSM1606222 | 7.3% | 76.3 | 44.5% | 96.6% | 0.7% | 161 bp | 13.7% | 100.0% | 74.6 | 100.0% | 73.0 | 4.1 X | 77.7 | 1.1 |
GSM1606223 | 8.4% | 56.7 | 44.8% | 96.0% | 0.6% | 178 bp | 14.1% | 100.0% | 55.6 | 100.0% | 54.6 | 3.0 X | 56.9 | 1.1 |
GSM1606224 | 8.8% | 74.7 | 44.8% | 96.6% | 3.5% | 153 bp | 15.9% | 100.0% | 72.8 | 100.0% | 71.6 | 3.9 X | 74.1 | 1.8 |
GSM1606225 | 9.3% | 84.3 | 44.6% | 96.7% | 3.4% | 151 bp | 16.4% | 100.0% | 81.9 | 100.0% | 80.4 | 4.4 X | 83.8 | 1.9 |
GSM1606226 | 8.5% | 69.2 | 44.6% | 96.5% | 3.3% | 152 bp | 15.3% | 100.0% | 67.3 | 100.0% | 66.0 | 3.6 X | 68.7 | 1.7 |
GSM1606227 | 7.5% | 50.7 | 45.0% | 96.4% | 3.1% | 156 bp | 14.0% | 100.0% | 49.5 | 100.0% | 48.7 | 2.6 X | 50.2 | 1.2 |
GSM1606228 | 9.0% | 78.6 | 44.8% | 96.5% | 3.1% | 153 bp | 16.2% | 100.0% | 76.7 | 100.0% | 75.4 | 4.1 X | 78.1 | 1.9 |
GSM1606229 | 8.3% | 48.2 | 45.6% | 96.6% | 2.8% | 165 bp | 15.4% | 100.0% | 47.0 | 100.0% | 46.2 | 2.5 X | 47.5 | 1.3 |
GSM1606230 | 6.3% | 35.3 | 45.2% | 96.9% | 2.8% | 160 bp | 11.9% | 100.0% | 34.5 | 100.0% | 33.9 | 1.8 X | 35.0 | 0.9 |
GSM1606231 | 9.2% | 70.7 | 45.0% | 97.0% | 2.7% | 162 bp | 16.4% | 100.0% | 69.1 | 100.0% | 67.9 | 3.6 X | 69.9 | 2.0 |
GSM1606232 | 9.6% | 59.4 | 45.8% | 96.8% | 3.7% | 168 bp | 17.1% | 100.0% | 57.8 | 100.0% | 56.8 | 3.1 X | 58.6 | 1.5 |
GSM1606233 | 10.9% | 77.5 | 45.4% | 96.7% | 2.8% | 164 bp | 19.1% | 100.0% | 75.3 | 100.0% | 74.1 | 3.9 X | 75.5 | 2.8 |
GSM1606234 | 8.0% | 57.7 | 44.7% | 97.0% | 3.3% | 154 bp | 14.4% | 100.0% | 56.4 | 100.0% | 55.4 | 3.0 X | 56.9 | 2.0 |
GSM1606235 | 9.4% | 82.6 | 44.9% | 97.0% | 2.7% | 162 bp | 16.9% | 100.0% | 80.7 | 100.0% | 79.3 | 4.2 X | 81.4 | 2.8 |
GSM1606236 | 9.8% | 81.1 | 45.0% | 96.2% | 2.7% | 161 bp | 18.1% | 100.0% | 79.2 | 100.0% | 77.8 | 4.2 X | 79.7 | 2.9 |
GSM1606237 | 7.5% | 49.2 | 45.1% | 96.3% | 2.6% | 162 bp | 14.8% | 100.0% | 48.1 | 100.0% | 47.3 | 2.5 X | 48.2 | 1.9 |
GSM1606238 | 8.1% | 65.5 | 44.5% | 96.4% | 2.7% | 155 bp | 15.3% | 100.0% | 64.1 | 100.0% | 62.9 | 3.4 X | 64.5 | 2.5 |
GSM1606239 | 9.0% | 72.8 | 44.7% | 96.2% | 3.0% | 153 bp | 16.7% | 100.0% | 71.3 | 100.0% | 69.9 | 3.7 X | 71.6 | 2.8 |
GSM1606240 | 8.4% | 71.6 | 44.4% | 96.4% | 3.8% | 150 bp | 15.6% | 100.0% | 70.0 | 100.0% | 68.6 | 3.7 X | 70.5 | 2.8 |
GSM1606241 | 9.3% | 73.7 | 45.2% | 96.2% | 2.9% | 156 bp | 17.2% | 100.0% | 71.7 | 100.0% | 70.4 | 3.7 X | 71.7 | 3.0 |
GSM1606242 | 9.5% | 87.6 | 44.5% | 95.6% | 2.8% | 156 bp | 17.2% | 100.0% | 83.7 | 100.0% | 82.1 | 4.4 X | 84.4 | 3.5 |
GSM1606243 | 7.8% | 62.3 | 44.4% | 96.4% | 3.1% | 151 bp | 14.7% | 100.0% | 60.7 | 100.0% | 59.6 | 3.2 X | 61.3 | 2.4 |
GSM1606244 | 9.1% | 79.5 | 44.8% | 96.2% | 3.3% | 151 bp | 16.8% | 100.0% | 77.5 | 100.0% | 76.1 | 4.1 X | 78.1 | 2.8 |
GSM1606245 | 7.2% | 61.6 | 44.3% | 96.1% | 3.0% | 152 bp | 13.9% | 100.0% | 60.1 | 100.0% | 58.9 | 3.2 X | 60.7 | 2.4 |
GSM1606246 | 6.8% | 52.2 | 44.4% | 96.3% | 2.9% | 153 bp | 13.0% | 100.0% | 50.9 | 100.0% | 50.0 | 2.7 X | 51.3 | 2.0 |
GSM1606247 | 8.7% | 70.1 | 44.5% | 95.9% | 4.9% | 156 bp | 16.9% | 100.0% | 66.5 | 100.0% | 65.2 | 3.5 X | 67.0 | 2.7 |
GSM1606248 | 11.8% | 92.9 | 44.9% | 96.8% | 3.8% | 157 bp | 20.2% | 100.0% | 90.9 | 100.0% | 89.1 | 4.7 X | 91.2 | 3.7 |
GSM1606249 | 8.9% | 57.3 | 45.1% | 96.7% | 3.5% | 158 bp | 16.4% | 100.0% | 56.1 | 100.0% | 55.0 | 2.9 X | 56.3 | 2.2 |
GSM1606250 | 15.3% | 84.0 | 47.2% | 96.2% | 3.8% | 184 bp | 26.9% | 100.0% | 81.3 | 100.0% | 79.9 | 4.2 X | 81.6 | 2.9 |
GSM1606251 | 9.1% | 61.5 | 45.2% | 96.4% | 3.3% | 158 bp | 16.5% | 100.0% | 60.0 | 100.0% | 59.0 | 3.1 X | 59.9 | 2.7 |
GSM1606252 | 7.4% | 45.8 | 45.0% | 96.5% | 2.7% | 168 bp | 13.9% | 100.0% | 44.7 | 100.0% | 43.9 | 2.3 X | 44.8 | 1.9 |
GSM1606253 | 8.5% | 53.6 | 45.1% | 96.7% | 3.4% | 159 bp | 15.6% | 100.0% | 52.5 | 100.0% | 51.5 | 2.7 X | 52.4 | 2.3 |
GSM1606254 | 8.4% | 49.8 | 45.1% | 96.7% | 3.3% | 158 bp | 15.4% | 100.0% | 48.7 | 100.0% | 47.8 | 2.5 X | 48.6 | 2.1 |
GSM1606255 | 10.0% | 68.5 | 45.2% | 96.7% | 4.0% | 154 bp | 17.7% | 100.0% | 66.9 | 100.0% | 65.7 | 3.5 X | 67.0 | 2.8 |
GSM1606256 | 11.1% | 80.0 | 45.4% | 96.7% | 3.4% | 150 bp | 19.3% | 100.0% | 78.1 | 100.0% | 76.8 | 4.1 X | 78.0 | 3.4 |
GSM1606257 | 9.7% | 64.5 | 45.0% | 96.5% | 3.4% | 154 bp | 17.3% | 100.0% | 63.0 | 100.0% | 61.9 | 3.2 X | 62.2 | 3.4 |
GSM1606258 | 9.6% | 64.2 | 45.1% | 96.7% | 3.3% | 152 bp | 17.2% | 100.0% | 62.8 | 100.0% | 61.7 | 3.2 X | 62.1 | 3.3 |
GSM1606259 | 9.8% | 70.5 | 44.6% | 96.8% | 3.5% | 149 bp | 17.1% | 100.0% | 69.0 | 100.0% | 67.8 | 3.6 X | 68.2 | 3.9 |
GSM1606260 | 8.5% | 53.0 | 44.9% | 96.9% | 3.8% | 148 bp | 15.0% | 100.0% | 51.7 | 100.0% | 50.8 | 2.7 X | 51.3 | 2.5 |
GSM1606261 | 9.4% | 72.7 | 44.4% | 97.1% | 3.4% | 148 bp | 16.3% | 100.0% | 71.2 | 100.0% | 69.9 | 3.7 X | 70.6 | 3.7 |
GSM1606262 | 10.7% | 66.4 | 45.5% | 96.8% | 3.3% | 152 bp | 18.5% | 100.0% | 64.9 | 100.0% | 63.8 | 3.4 X | 64.4 | 3.1 |
GSM1606263 | 10.5% | 92.9 | 44.6% | 96.8% | 3.6% | 148 bp | 17.9% | 100.0% | 90.9 | 100.0% | 89.3 | 4.7 X | 90.1 | 4.8 |
GSM1606264 | 11.6% | 83.4 | 45.3% | 96.9% | 3.7% | 149 bp | 19.7% | 100.0% | 81.4 | 100.0% | 80.0 | 4.2 X | 80.3 | 4.4 |
GSM1606265 | 5.8% | 39.9 | 45.0% | 72.1% | 0.5% | 183 bp | 14.5% | 100.0% | 38.4 | 100.0% | 37.6 | 2.1 X | 40.4 | 0.5 |
GSM1606266 | 3.8% | 29.6 | 45.0% | 72.2% | 0.5% | 202 bp | 9.6% | 100.0% | 28.5 | 100.0% | 27.8 | 1.6 X | 30.0 | 0.2 |
GSM1606267 | 7.9% | 56.0 | 46.0% | 72.3% | 0.5% | 192 bp | 18.3% | 100.0% | 54.5 | 100.0% | 53.5 | 2.9 X | 55.2 | 1.5 |
GSM1606268 | 8.3% | 55.0 | 46.2% | 71.8% | 0.6% | 194 bp | 19.5% | 100.0% | 53.3 | 100.0% | 52.4 | 2.8 X | 54.2 | 1.3 |
GSM1606269 | 8.8% | 29.9 | 47.5% | 72.0% | 0.6% | 216 bp | 20.9% | 100.0% | 29.1 | 100.0% | 28.6 | 1.5 X | 29.3 | 1.0 |
GSM1606270 | 7.5% | 48.1 | 45.8% | 72.7% | 0.6% | 178 bp | 17.5% | 100.0% | 47.0 | 100.0% | 46.2 | 2.4 X | 46.8 | 2.2 |
GSM1606319 | 6.2% | 65.7 | 45.5% | 95.3% | 0.5% | 182 bp | 18.5% | 100.0% | 63.7 | 100.0% | 63.1 | 3.4 X | 64.2 | 0.9 |
GSM1606320 | 7.5% | 59.3 | 46.1% | 95.0% | 0.5% | 180 bp | 22.2% | 100.0% | 56.9 | 100.0% | 56.3 | 3.0 X | 57.4 | 0.9 |
GSM1606321 | 4.6% | 44.2 | 45.4% | 95.2% | 0.6% | 174 bp | 14.1% | 100.0% | 42.7 | 100.0% | 42.3 | 2.3 X | 43.1 | 0.6 |
GSM1606322 | 4.8% | 51.2 | 45.1% | 94.8% | 0.6% | 172 bp | 14.8% | 100.0% | 49.5 | 100.0% | 49.0 | 2.6 X | 50.1 | 0.6 |
GSM1606323 | 5.3% | 56.9 | 45.7% | 95.2% | 0.5% | 176 bp | 16.0% | 100.0% | 55.1 | 100.0% | 54.5 | 2.9 X | 55.8 | 0.7 |
GSM1606324 | 3.9% | 55.8 | 45.0% | 95.7% | 0.5% | 174 bp | 11.8% | 100.0% | 54.2 | 100.0% | 53.7 | 2.9 X | 54.9 | 0.6 |
GSM1606325 | 3.7% | 63.6 | 44.9% | 93.0% | 0.6% | 166 bp | 13.6% | 100.0% | 61.9 | 100.0% | 61.3 | 3.3 X | 62.7 | 0.6 |
GSM1606326 | 2.7% | 47.3 | 44.4% | 93.4% | 0.6% | 161 bp | 10.5% | 100.0% | 46.3 | 100.0% | 45.8 | 2.4 X | 46.8 | 0.5 |
GSM1606327 | 3.1% | 65.9 | 44.6% | 93.2% | 0.5% | 167 bp | 11.4% | 100.0% | 64.3 | 100.0% | 63.7 | 3.4 X | 65.3 | 0.5 |
GSM1606328 | 2.3% | 45.6 | 44.3% | 92.7% | 0.5% | 165 bp | 8.8% | 100.0% | 44.4 | 100.0% | 43.9 | 2.4 X | 45.2 | 0.4 |
GSM1606329 | 3.3% | 78.0 | 44.4% | 93.3% | 0.6% | 163 bp | 12.0% | 100.0% | 76.2 | 100.0% | 75.2 | 4.1 X | 78.0 | 0.6 |
GSM1606330 | 2.8% | 59.7 | 44.6% | 93.4% | 0.6% | 162 bp | 10.2% | 100.0% | 58.0 | 100.0% | 57.2 | 3.1 X | 59.7 | 0.5 |
GSM1606331 | 2.5% | 52.1 | 44.4% | 92.4% | 0.5% | 164 bp | 9.7% | 100.0% | 50.5 | 100.0% | 49.7 | 2.7 X | 52.1 | 0.5 |
GSM1606332 | 3.4% | 66.5 | 44.3% | 92.1% | 0.6% | 163 bp | 12.8% | 100.0% | 64.3 | 100.0% | 63.3 | 3.5 X | 66.4 | 0.7 |
GSM1606333 | 3.1% | 52.8 | 44.6% | 92.4% | 0.7% | 160 bp | 11.6% | 100.0% | 51.2 | 100.0% | 50.4 | 2.8 X | 52.7 | 0.6 |
GSM1606334 | 3.6% | 61.3 | 44.5% | 91.6% | 0.6% | 164 bp | 13.9% | 100.0% | 59.4 | 100.0% | 58.4 | 3.2 X | 61.1 | 0.8 |
GSM1606335 | 3.3% | 49.5 | 44.6% | 92.2% | 0.5% | 167 bp | 12.7% | 100.0% | 48.0 | 100.0% | 47.3 | 2.6 X | 49.4 | 0.7 |
GSM1606336 | 4.2% | 58.8 | 44.6% | 92.5% | 0.5% | 171 bp | 15.5% | 100.0% | 57.2 | 100.0% | 56.2 | 3.1 X | 58.9 | 0.9 |
GSM1606337 | 4.8% | 57.6 | 44.7% | 90.6% | 0.5% | 167 bp | 16.0% | 100.0% | 55.5 | 100.0% | 54.6 | 3.0 X | 57.2 | 0.8 |
GSM1606338 | 4.4% | 49.0 | 44.7% | 90.5% | 0.6% | 166 bp | 15.0% | 100.0% | 47.2 | 100.0% | 46.4 | 2.5 X | 48.6 | 0.7 |
GSM1606339 | 5.1% | 48.8 | 44.8% | 90.8% | 0.6% | 164 bp | 16.4% | 100.0% | 46.8 | 100.0% | 46.0 | 2.5 X | 48.2 | 0.7 |
GSM1606340 | 5.6% | 61.4 | 44.9% | 89.8% | 0.6% | 163 bp | 18.4% | 100.0% | 59.0 | 100.0% | 58.0 | 3.2 X | 61.1 | 0.6 |
GSM1606341 | 5.7% | 69.4 | 44.8% | 90.6% | 0.6% | 162 bp | 18.5% | 100.0% | 66.9 | 100.0% | 65.6 | 3.6 X | 69.5 | 0.9 |
GSM1606342 | 4.7% | 52.0 | 44.7% | 90.9% | 0.5% | 162 bp | 15.4% | 100.0% | 50.2 | 100.0% | 49.2 | 2.7 X | 52.1 | 0.7 |
GSM1606343 | 6.1% | 66.1 | 44.9% | 92.1% | 0.6% | 168 bp | 18.2% | 100.0% | 64.2 | 100.0% | 63.0 | 3.5 X | 66.3 | 1.0 |
GSM1606344 | 6.9% | 77.6 | 44.9% | 92.1% | 0.6% | 165 bp | 20.0% | 100.0% | 75.3 | 100.0% | 74.0 | 4.1 X | 77.6 | 1.2 |
GSM1606345 | 5.2% | 52.9 | 45.0% | 92.1% | 0.6% | 166 bp | 15.8% | 100.0% | 51.3 | 100.0% | 50.4 | 2.8 X | 53.4 | 0.5 |
GSM1606346 | 12.0% | 71.4 | 45.5% | 97.5% | 0.8% | 170 bp | 19.2% | 100.0% | 69.4 | 100.0% | 68.1 | 3.8 X | 72.1 | 0.8 |
GSM1606347 | 5.5% | 62.9 | 44.8% | 92.1% | 0.6% | 166 bp | 16.7% | 100.0% | 61.2 | 100.0% | 60.0 | 3.3 X | 63.6 | 0.8 |
GSM1606348 | 4.9% | 51.4 | 44.8% | 92.5% | 0.6% | 164 bp | 14.8% | 100.0% | 50.0 | 100.0% | 49.0 | 2.7 X | 52.0 | 0.7 |
GSM1606349 | 4.5% | 56.5 | 44.6% | 89.8% | 0.6% | 161 bp | 15.9% | 100.0% | 54.8 | 100.0% | 53.7 | 3.0 X | 56.9 | 0.8 |
GSM1606350 | 6.2% | 103.4 | 44.8% | 89.5% | 0.6% | 161 bp | 20.3% | 100.0% | 100.3 | 100.0% | 98.4 | 5.4 X | 103.9 | 1.2 |
GSM1606351 | 3.0% | 36.4 | 44.5% | 90.3% | 0.5% | 160 bp | 11.1% | 100.0% | 35.3 | 100.0% | 34.6 | 1.9 X | 36.9 | 0.4 |
GSM1606352 | 3.5% | 40.1 | 44.8% | 88.8% | 0.5% | 166 bp | 12.8% | 100.0% | 38.8 | 100.0% | 38.0 | 2.1 X | 40.3 | 0.4 |
GSM1606353 | 3.5% | 44.2 | 44.5% | 89.6% | 0.6% | 162 bp | 12.7% | 100.0% | 42.8 | 100.0% | 41.8 | 2.3 X | 44.9 | 0.5 |
GSM1606354 | 4.1% | 50.1 | 45.0% | 89.9% | 0.6% | 164 bp | 14.3% | 100.0% | 48.6 | 100.0% | 47.7 | 2.6 X | 50.6 | 0.3 |
GSM1606355 | 5.1% | 57.8 | 45.0% | 91.0% | 0.6% | 166 bp | 15.5% | 100.0% | 56.3 | 100.0% | 55.3 | 3.1 X | 58.5 | 0.5 |
GSM1606356 | 5.3% | 64.5 | 44.8% | 90.9% | 0.6% | 164 bp | 15.9% | 100.0% | 62.9 | 100.0% | 61.8 | 3.4 X | 65.1 | 0.7 |
GSM1606357 | 4.8% | 50.0 | 44.8% | 91.3% | 0.5% | 164 bp | 14.5% | 100.0% | 48.8 | 100.0% | 47.9 | 2.6 X | 50.3 | 0.6 |
GSM1606358 | 4.8% | 59.4 | 44.9% | 90.3% | 0.5% | 164 bp | 15.4% | 100.0% | 58.0 | 100.0% | 57.0 | 3.1 X | 59.7 | 0.7 |
GSM1606359 | 5.4% | 74.9 | 44.8% | 90.9% | 0.5% | 165 bp | 16.7% | 100.0% | 73.0 | 100.0% | 71.8 | 3.9 X | 75.4 | 0.8 |
GSM1606360 | 4.3% | 48.0 | 45.0% | 91.2% | 0.6% | 166 bp | 13.2% | 100.0% | 46.9 | 100.0% | 46.0 | 2.5 X | 48.5 | 0.5 |
GSM1606361 | 6.9% | 52.1 | 44.8% | 95.0% | 0.6% | 172 bp | 16.3% | 100.0% | 50.9 | 100.0% | 50.1 | 2.8 X | 52.7 | 0.4 |
GSM1606362 | 6.2% | 64.6 | 45.0% | 94.8% | 0.6% | 170 bp | 14.9% | 100.0% | 63.3 | 100.0% | 62.1 | 3.4 X | 65.6 | 0.7 |
GSM1606363 | 5.2% | 58.7 | 44.7% | 94.7% | 0.6% | 171 bp | 12.9% | 100.0% | 57.4 | 100.0% | 56.2 | 3.1 X | 59.7 | 0.8 |
GSM1606364 | 9.7% | 60.5 | 44.7% | 94.4% | 0.5% | 191 bp | 22.8% | 100.0% | 59.3 | 100.0% | 58.4 | 3.2 X | 60.7 | 0.6 |
GSM1606365 | 6.5% | 61.2 | 45.4% | 94.8% | 0.5% | 174 bp | 15.6% | 100.0% | 59.9 | 100.0% | 58.9 | 3.2 X | 61.4 | 1.0 |
GSM1606366 | 6.1% | 59.0 | 45.1% | 95.1% | 0.6% | 170 bp | 14.7% | 100.0% | 57.8 | 100.0% | 56.8 | 3.1 X | 59.4 | 1.0 |
GSM1606367 | 7.3% | 68.8 | 45.5% | 94.2% | 0.6% | 178 bp | 18.0% | 100.0% | 67.4 | 100.0% | 66.4 | 3.6 X | 69.0 | 1.1 |
GSM919922 | 5.8% | 20.6 | 50.9% | 88.7% | 1.5% | 539 bp | 7.3% | 100.0% | 19.3 | 100.0% | 18.9 | 1.4 X | 20.4 | 0.2 |
GSM919923 | 12.6% | 19.2 | 50.1% | 88.4% | 1.3% | 588 bp | 9.1% | 100.0% | 16.6 | 100.0% | 16.2 | 1.2 X | 17.5 | 0.2 |
GSM919924 | 9.9% | 20.1 | 50.3% | 88.0% | 1.2% | 596 bp | 10.8% | 100.0% | 18.3 | 100.0% | 17.9 | 1.3 X | 19.3 | 0.2 |
GSM919925 | 12.8% | 22.5 | 49.9% | 88.7% | 0.9% | 589 bp | 18.2% | 100.0% | 20.9 | 100.0% | 20.4 | 1.5 X | 21.8 | 0.4 |
GSM919926 | 7.8% | 22.5 | 50.6% | 89.8% | 1.0% | 710 bp | 13.9% | 100.0% | 21.5 | 100.0% | 20.8 | 1.6 X | 22.9 | 0.3 |
GSM919927 | 13.6% | 20.9 | 49.8% | 89.3% | 1.0% | 682 bp | 15.1% | 100.0% | 18.7 | 100.0% | 18.2 | 1.4 X | 19.7 | 0.2 |
GSM919928 | 10.1% | 21.1 | 50.3% | 90.1% | 1.1% | 631 bp | 16.6% | 100.0% | 20.0 | 100.0% | 19.5 | 1.5 X | 21.1 | 0.3 |
GSM919929 | 8.0% | 23.7 | 50.7% | 90.3% | 1.2% | 707 bp | 14.2% | 100.0% | 22.7 | 100.0% | 22.1 | 1.7 X | 24.1 | 0.3 |
GSM919930 | 10.2% | 19.8 | 49.8% | 90.3% | 1.0% | 653 bp | 16.1% | 100.0% | 18.8 | 100.0% | 18.4 | 1.3 X | 19.3 | 0.6 |
GSM919931 | 11.7% | 22.7 | 50.1% | 90.2% | 1.0% | 622 bp | 17.3% | 100.0% | 21.4 | 100.0% | 20.9 | 1.5 X | 21.9 | 0.6 |
GSM919932 | 8.0% | 24.5 | 50.8% | 90.8% | 1.3% | 742 bp | 15.4% | 100.0% | 23.6 | 100.0% | 23.0 | 1.7 X | 24.6 | 0.4 |
GSM919933 | 8.1% | 22.7 | 50.7% | 91.0% | 1.2% | 795 bp | 15.1% | 100.0% | 21.9 | 100.0% | 21.4 | 1.6 X | 22.7 | 0.4 |
GSM919934 | 8.4% | 22.1 | 50.9% | 90.9% | 1.2% | 794 bp | 15.6% | 100.0% | 21.2 | 100.0% | 20.8 | 1.5 X | 21.9 | 0.5 |
GSM919935 | 8.9% | 25.2 | 50.7% | 91.4% | 1.1% | 818 bp | 16.5% | 100.0% | 24.2 | 100.0% | 23.6 | 1.7 X | 25.1 | 0.5 |
GSM919936 | 9.0% | 22.2 | 50.4% | 91.2% | 1.1% | 798 bp | 15.6% | 100.0% | 21.1 | 100.0% | 20.6 | 1.5 X | 21.7 | 0.6 |
GSM919937 | 10.1% | 26.0 | 50.6% | 91.4% | 1.0% | 817 bp | 17.1% | 100.0% | 24.5 | 100.0% | 23.9 | 1.8 X | 25.4 | 0.7 |
GSM919938 | 4.1% | 20.8 | 51.4% | 98.2% | 0.4% | 971 bp | 11.1% | 100.0% | 20.1 | 100.0% | 19.7 | 1.4 X | 20.7 | 0.2 |
GSM919939 | 4.3% | 23.5 | 51.4% | 98.3% | 0.4% | 956 bp | 11.6% | 100.0% | 22.7 | 100.0% | 22.3 | 1.6 X | 23.5 | 0.2 |
GSM919940 | 3.8% | 20.4 | 51.4% | 98.2% | 0.4% | 964 bp | 10.5% | 100.0% | 19.8 | 100.0% | 19.5 | 1.4 X | 20.5 | 0.2 |
GSM919941 | 4.1% | 23.0 | 51.2% | 98.2% | 0.4% | 967 bp | 11.2% | 100.0% | 22.3 | 100.0% | 21.9 | 1.6 X | 23.0 | 0.3 |
GSM919942 | 3.8% | 21.7 | 51.2% | 98.3% | 0.4% | 1012 bp | 10.2% | 100.0% | 21.1 | 100.0% | 20.7 | 1.5 X | 21.8 | 0.3 |
GSM919943 | 3.5% | 22.6 | 51.1% | 98.3% | 0.4% | 966 bp | 9.5% | 100.0% | 22.0 | 100.0% | 21.6 | 1.6 X | 22.7 | 0.2 |
GSM919944 | 3.4% | 22.1 | 50.8% | 98.3% | 0.5% | 864 bp | 9.0% | 100.0% | 21.3 | 100.0% | 20.8 | 1.5 X | 22.2 | 0.3 |
GSM919945 | 4.2% | 20.5 | 50.8% | 98.2% | 0.6% | 827 bp | 10.7% | 100.0% | 19.6 | 100.0% | 19.1 | 1.4 X | 20.5 | 0.3 |
GSM919946 | 5.5% | 20.9 | 50.9% | 98.2% | 0.6% | 792 bp | 13.7% | 100.0% | 20.0 | 100.0% | 19.4 | 1.4 X | 20.9 | 0.4 |
GSM919947 | 6.2% | 19.3 | 50.8% | 98.2% | 0.6% | 823 bp | 15.5% | 100.0% | 18.5 | 100.0% | 18.0 | 1.3 X | 19.3 | 0.3 |
GSM919948 | 6.6% | 18.8 | 50.8% | 98.2% | 0.5% | 796 bp | 16.0% | 100.0% | 18.0 | 100.0% | 17.5 | 1.3 X | 18.9 | 0.3 |
GSM919949 | 8.1% | 25.5 | 51.1% | 98.4% | 0.5% | 866 bp | 19.3% | 100.0% | 24.6 | 100.0% | 23.9 | 1.8 X | 25.8 | 0.3 |
GSM919950 | 11.8% | 17.6 | 50.5% | 98.8% | 0.5% | 820 bp | 18.3% | 100.0% | 16.8 | 100.0% | 16.3 | 1.2 X | 17.6 | 0.4 |
GSM919951 | 13.4% | 22.6 | 50.5% | 98.9% | 0.5% | 886 bp | 20.3% | 100.0% | 21.6 | 100.0% | 21.1 | 1.5 X | 22.3 | 0.6 |
GSM919952 | 13.5% | 20.0 | 50.4% | 98.8% | 0.5% | 865 bp | 20.9% | 100.0% | 19.2 | 100.0% | 18.8 | 1.4 X | 19.8 | 0.6 |
GSM919953 | 14.2% | 20.1 | 50.4% | 98.8% | 0.5% | 826 bp | 21.3% | 100.0% | 19.1 | 100.0% | 18.6 | 1.4 X | 19.9 | 0.5 |
GSM919954 | 13.6% | 22.0 | 50.5% | 98.9% | 0.5% | 854 bp | 20.7% | 100.0% | 21.1 | 100.0% | 20.6 | 1.5 X | 22.0 | 0.4 |
GSM919955 | 15.3% | 22.0 | 50.4% | 98.8% | 0.5% | 905 bp | 22.8% | 100.0% | 21.0 | 100.0% | 20.5 | 1.5 X | 21.6 | 0.7 |
GSM919956 | 14.2% | 22.8 | 51.2% | 98.9% | 0.5% | 927 bp | 20.9% | 100.0% | 21.5 | 100.0% | 20.9 | 1.5 X | 22.5 | 0.3 |
GSM919957 | 15.3% | 24.3 | 51.2% | 98.9% | 0.5% | 925 bp | 21.7% | 100.0% | 22.7 | 100.0% | 22.1 | 1.6 X | 23.8 | 0.4 |
GSM919958 | 15.4% | 21.8 | 51.0% | 98.9% | 0.5% | 939 bp | 21.6% | 100.0% | 20.3 | 100.0% | 19.8 | 1.5 X | 21.1 | 0.5 |
GSM919959 | 16.7% | 22.8 | 51.2% | 98.9% | 0.5% | 963 bp | 23.6% | 100.0% | 21.3 | 100.0% | 20.8 | 1.5 X | 22.3 | 0.4 |
GSM919960 | 15.4% | 21.2 | 51.3% | 98.9% | 0.5% | 949 bp | 21.3% | 100.0% | 19.7 | 100.0% | 19.2 | 1.4 X | 20.6 | 0.4 |
GSM919961 | 15.6% | 20.6 | 50.9% | 98.9% | 0.5% | 972 bp | 21.3% | 100.0% | 19.1 | 100.0% | 18.7 | 1.4 X | 19.9 | 0.5 |
Workflow explanation
Assembly stats
fastp
fastp An ultra-fast all-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...).DOI: 10.1093/bioinformatics/bty560.
Filtered Reads
Filtering statistics of sampled reads.
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Insert Sizes
Insert size estimation of sampled reads.
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Sequence Quality
Average sequencing quality over each base of all reads.
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
GC Content
Average GC content over each base of all reads.
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
N content
Average N content over each base of all reads.
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Picard
Picard is a set of Java command line tools for manipulating high-throughput sequencing data.
Insert Size
Plot shows the number of reads at a given insert size. Reads with different orientations are summed.
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Mark Duplicates
Number of reads, categorised by duplication state. Pair counts are doubled - see help text for details.
The table in the Picard metrics file contains some columns referring read pairs and some referring to single reads.
To make the numbers in this plot sum correctly, values referring to pairs are doubled according to the scheme below:
READS_IN_DUPLICATE_PAIRS = 2 * READ_PAIR_DUPLICATES
READS_IN_UNIQUE_PAIRS = 2 * (READ_PAIRS_EXAMINED - READ_PAIR_DUPLICATES)
READS_IN_UNIQUE_UNPAIRED = UNPAIRED_READS_EXAMINED - UNPAIRED_READ_DUPLICATES
READS_IN_DUPLICATE_PAIRS_OPTICAL = 2 * READ_PAIR_OPTICAL_DUPLICATES
READS_IN_DUPLICATE_PAIRS_NONOPTICAL = READS_IN_DUPLICATE_PAIRS - READS_IN_DUPLICATE_PAIRS_OPTICAL
READS_IN_DUPLICATE_UNPAIRED = UNPAIRED_READ_DUPLICATES
READS_UNMAPPED = UNMAPPED_READS
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
SamTools pre-sieve
Samtools is a suite of programs for interacting with high-throughput sequencing data.DOI: 10.1093/bioinformatics/btp352.
The pre-sieve statistics are quality metrics measured before applying (optional) minimum mapping quality, blacklist removal, mitochondrial read removal, read length filtering, and tn5 shift.Percent Mapped
Alignment metrics from samtools stats
; mapped vs. unmapped reads.
For a set of samples that have come from the same multiplexed library, similar numbers of reads for each sample are expected. Large differences in numbers might indicate issues during the library preparation process. Whilst large differences in read numbers may be controlled for in downstream processings (e.g. read count normalisation), you may wish to consider whether the read depths achieved have fallen below recommended levels depending on the applications.
Low alignment rates could indicate contamination of samples (e.g. adapter sequences), low sequencing quality or other artefacts. These can be further investigated in the sequence level QC (e.g. from FastQC).
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Alignment metrics
This module parses the output from samtools stats
. All numbers in millions.
SamTools post-sieve
Samtools is a suite of programs for interacting with high-throughput sequencing data.DOI: 10.1093/bioinformatics/btp352.
The post-sieve statistics are quality metrics measured after applying (optional) minimum mapping quality, blacklist removal, mitochondrial read removal, and tn5 shift.Percent Mapped
Alignment metrics from samtools stats
; mapped vs. unmapped reads.
For a set of samples that have come from the same multiplexed library, similar numbers of reads for each sample are expected. Large differences in numbers might indicate issues during the library preparation process. Whilst large differences in read numbers may be controlled for in downstream processings (e.g. read count normalisation), you may wish to consider whether the read depths achieved have fallen below recommended levels depending on the applications.
Low alignment rates could indicate contamination of samples (e.g. adapter sequences), low sequencing quality or other artefacts. These can be further investigated in the sequence level QC (e.g. from FastQC).
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Alignment metrics
This module parses the output from samtools stats
. All numbers in millions.
deepTools
deepTools is a suite of tools to process and analyze deep sequencing data.DOI: 10.1093/nar/gkw257.
PCA plot
PCA plot with the top two principal components calculated based on genome-wide distribution of sequence reads
Fingerprint plot
Signal fingerprint according to plotFingerprint
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
Strandedness
Strandedness package provides a number of useful modules that can comprehensively evaluate high throughput RNA-seq data.DOI: 10.1093/bioinformatics/bts356.
Sequencing strandedness was inferred for the following samples, and was called if 60% of the sampled reads were explained by either sense (forward) or antisense (reverse).Infer experiment
Infer experiment counts the percentage of reads and read pairs that match the strandedness of overlapping transcripts. It can be used to infer whether RNA-seq library preps are stranded (sense or antisense).
Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).
deepTools - Spearman correlation heatmap of reads in bins across the genome
Spearman correlation plot generated by deeptools. Spearman correlation is a non-parametric (distribution-free) method, and assesses the monotonicity of the relationship.
deepTools - Pearson correlation heatmap of reads in bins across the genome
Pearson correlation plot generated by deeptools. Pearson correlation is a parametric (lots of assumptions, e.g. normality and homoscedasticity) method, and assesses the linearity of the relationship.