Table 1.
Number of Reads Aligned to Different Genomic Regions
Sample ID | GEO | Total | Exon | Intron | Non-genic | 5’UTR | CDS | 3’UTR |
---|---|---|---|---|---|---|---|---|
IP1 | GSM1147020 | 28.9 M | 14.1 M (48.78%) | 1.5 M (5.18%) | 13.31 M (46.04%) | 1.1 M (7.72%) | 7.92 M (55.35%) | 5.28 M (36.93%) |
IP2 | GSM1147022 | 11.6 M | 5.71 M (49.18%) | 0.6 M (5.17%) | 5.3 M (45.65%) | 0.52 M (9.68%) | 3.3 M (61.42%) | 1.56 M (29.0%) |
IP3 | GSM1147024 | 36.86 M | 17.85 M (48.42%) | 1.92 M (5.2%) | 17.1 M (46.38%) | 1.19 M (6.82%) | 10.17 M (58.21%) | 6.11 M (34.97%) |
Input1 | GSM1147021 | 14.82 M | 6.52 M (43.99%) | 0.47 M (3.17%) | 7.83 M (52.84%) | 0.31 M (7.43%) | 2.3 M (55.16%) | 1.56 M (37.41%) |
Input2 | GSM1147023 | 17.15 M | 6.9 M (40.26%) | 0.42 M (2.45%) | 9.82 M (57.29%) | 0.17 M (8.81%) | 1.06 M (54.92%) | 0.7 M (36.27%) |
Input3 | GSM1147025 | 18.15 M | 7.63 M (42.06%) | 0.46 M (2.54%) | 10.05 M (55.4%) | 0.28 M (7.37%) | 2.09 M (55%) | 1.43 M (37.63%) |
The number of reads mapped to different regions is summarized as following. A summary table matching the sample ID with the input BAM files is also provided in the full report. Issues may be identified if a metrics is significantly different from other samples. E.g., the total number of reads and the reads mapped to 3’UTR of IP2 sample are both significantly different than all other IP samples