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1000 Genomes chr20 we get this:
name type chunks size compressed max_n min_val max_val ------------------------ ------- -------- --------- ------------ ------- --------- --------- CHROM String 160 1.25 MB 138.06 KB 1 n/a n/a POS Integer 160 606.64 KB 4.43 MB 1 6e+04 6.4e+07 QUAL Float 160 606.64 KB 11.33 MB 1 30 1.2e+08 ID String 160 16 KB 9.6 KB 0 n/a n/a FILTERS String 160 1.41 MB 739.29 KB 1 n/a n/a REF String 160 1.32 MB 3.57 MB 1 n/a n/a ALT String 160 1.91 MB 4.82 MB 6 n/a n/a FORMAT/AB Float 1097 178.45 MB 584.71 MB 1 0.04 0.95 FORMAT/AD Integer 2496 466.49 MB 7.78 GB 7 0 5.8e+03 FORMAT/DP Integer 1224 204.99 MB 6.08 GB 1 0 5.8e+03 FORMAT/GQ Integer 1224 204.99 MB 5.25 GB 1 0 99 FORMAT/GT Integer 1788 307.2 MB 417.48 MB 3 -1 6 FORMAT/MIN_DP Integer 160 16 KB 9.6 KB 0 n/a n/a FORMAT/MQ0 Integer 160 16 KB 9.6 KB 0 n/a n/a FORMAT/PGT String 849 46.13 MB 100.24 MB 1 n/a n/a FORMAT/PID String 849 59.74 MB 129.69 MB 1 n/a n/a FORMAT/PL Integer 3992 807.39 MB 18.42 GB 28 0 1.7e+05 FORMAT/RGQ Integer 160 16 KB 9.6 KB 0 n/a n/a FORMAT/SB Integer 160 16 KB 9.6 KB 0 n/a n/a
Note that cols like FORMAT/DP etc are reporting as much larger compressed than uncompressed. Investigate.
The text was updated successfully, but these errors were encountered:
Note in #49 changed the size column to the size of the raw values rather than the pickled values. Worth looking at this difference too.
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Something odd here as for a small subsample of the GeL vcfs, I get compressed << uncompressed, for the full set the opposite is the case.
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1000 Genomes chr20 we get this:
Note that cols like FORMAT/DP etc are reporting as much larger compressed than uncompressed. Investigate.
The text was updated successfully, but these errors were encountered: