Notebook
#M3 methratio !python /Users/Shared/Apps/bsmap-2.74/methratio.py -d /Volumes/web/cnidarian/oyster.v9.fa -u -z -g -o /Volumes/web/cnidarian/BiGo_lar_M3_methratio_v9_A.txt -s /Users/Shared/Apps/bsmap-2.74/samtools /Volumes/web/cnidarian/BiGo_lar_M3.sam
Female pairs: 180566 (56%) single a: 48357 (15%) single b: 37390 (12%) T1D3 pairs: 1639918 (49%) single a: 709577 (21%) single b: 541078 (16%) T1D5 pairs: 1142766 (42%) single a: 764422 (28%) single b: 567963 (21%) T3D3 pairs: 3130107 (54%) single a: 1140569 (20%) single b: 880396 (15%) T3D5 pairs: 2414419 (55%) single a: 819661 (19%) single b: 637662 (14%) M1 pairs: 2600662 (47%) single a: 1090658 (20%) single b: 894893 (16%) M3 pairs: 3032870 (55%) single a: 996127 (18%) single b: 789107 (14%) All methratio coverage about 1.3x
Query python /Users/sr320/sqlshare-pythonclient/tools/fetchdata.py -s "SELECT chr as seqname,'methratio' as source,'CpG' as feature, pos as start, pos + 1 as [end], ratio as score, strand, '.' as frame, '.' as attribute FROM [sr320@washington.edu].[BiGO_lar_M3] where context like '__CG_' and CT_Count > 5" -f tsv -o /Volumes/web/cnidarian/BiGo_lar_M3_methratio_CG.txt
!python /Users/sr320/sqlshare-pythonclient/tools/singleupload.py -d BiGo_lar_M3 /Volumes/web/cnidarian/BiGo_lar_M3_methratio_v9_A.txt
!python /Users/sr320/sqlshare-pythonclient/tools/singleupload.py -d BiGo_lar_T3D3 /Volumes/web/cnidarian/BiGo_lar_T3D3_methratio_v9_A.txt