{"text_format":"3","workbook":"xls","n_sheets":6,"sheets":["mouse mirPRo","mouse miRDeep2","human mirPRo","human miRDeep2","chicken mirPRo","chicken miRDeep2"],"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"mouse mirPRo","index":0,"n_rows":8,"n_cols":6,"rows_kept":8,"flags":["formulas_cached_only"]}
["The statistics of known miRNA quantification in mirPRo in mouse dataset"]
[]
["sample","SRR333597","SRR333598","SRR333599","SRR333600","average"]
["total raw reads",16935601,28290112,27467025,24605442,24324545]
["final clean reads mapped to known pre-miRNAs (hairpins)",14235127,22522793,23283103,19473100,19878530.75]
["% of final clean reads mapped to known pre-miRNAs (hairpins) among total raw reads",84.05445428243144,79.61365794522128,84.7674729971666,79.14143545968409,81.89425517112585]
["final clean reads counted as mature miRNAs",13268807,21138797,21826942,17604448,18459748.5]
["% of final clean reads counted as mature miRNAs among total raw reads",78.34860422136775,74.72150340019863,79.46598512216012,71.54696916235035,76.02076547651922]

{"sheet":"mouse miRDeep2","index":1,"n_rows":8,"n_cols":6,"rows_kept":8,"flags":["formulas_cached_only"]}
["The statistics of known miRNA quantification in miRDeep2 in mouse dataset"]
[]
["sample","SRR333597","SRR333598","SRR333599","SRR333600","average"]
["total raw reads",16935601,28290112,27467025,24605442,24324545]
["final clean reads mapped to known pre-miRNAs (hairpins)",14235127,22522793,23283103,19473100,19878530.75]
["% of final clean reads mapped to known pre-miRNAs (hairpins) among total raw reads",84.05445428243144,79.61365794522128,84.7674729971666,79.14143545968409,81.89425517112585]
["final clean reads counted as mature miRNAs",18931396,29542545,31113230,25731596,26329691.75]
["% of final clean reads counted as mature miRNAs among total raw reads",111.7846127810876,104.4271051312911,113.27484501870879,104.57684930024828,108.51585305783395]

{"sheet":"human mirPRo","index":2,"n_rows":8,"n_cols":8,"rows_kept":8,"flags":["formulas_cached_only"]}
["The statistics of known miRNA quantification in mirPRo in human dataset"]
[]
["sample","SRR1542714","SRR1542715","SRR1542716","SRR1542717","SRR1542718","SRR1542719","average"]
["total raw reads",1866654,1842228,2777542,1324705,3085962,1937831,2139153.6666666665]
["final clean reads mapped to known pre-miRNAs (hairpins)",626327,1022327,830384,493656,1095575,855100,820561.5]
["% of final clean reads mapped to known pre-miRNAs (hairpins) among total raw reads",33.553459827048826,55.49405393903469,29.896361603172878,37.26535341830823,35.5018953571042,44.126655007583224,39.30629652537534]
["final clean reads counted as mature miRNAs",579136,958579,757174,451428,1017117,787955,758564.8333333334]
["% of final clean reads counted as mature miRNAs among total raw reads",31.02535338632655,52.033678784602124,27.260577877850274,34.07762482967906,32.95947908626224,40.661698569173474,36.33640208898228]

{"sheet":"human miRDeep2","index":3,"n_rows":8,"n_cols":8,"rows_kept":8,"flags":["formulas_cached_only"]}
["The statistics of known miRNA quantification in miRDeep2 in human dataset"]
[]
["sample","SRR1542714","SRR1542715","SRR1542716","SRR1542717","SRR1542718","SRR1542719","average"]
["total raw reads",1866654,1842228,2777542,1324705,3085962,1937831,2139153.6666666665]
["final clean reads mapped to known pre-miRNAs (hairpins)",626327,1022327,830384,493656,1095575,855100,820561.5]
["% of final clean reads mapped to known pre-miRNAs (hairpins) among total raw reads",33.553459827048826,55.49405393903469,29.896361603172878,37.26535341830823,35.5018953571042,44.126655007583224,39.30629652537534]
["final clean reads counted as mature miRNAs",844524,1490023,1120823,698402,1474249,1230617,1143106.3333333333]
["% of final clean reads counted as mature miRNAs among total raw reads",45.24266414664957,80.88157383342343,40.35305316715283,52.7213228605614,47.77275287252403,63.504867039489,55.079372319966716]

{"sheet":"chicken mirPRo","index":4,"n_rows":8,"n_cols":11,"rows_kept":8,"flags":["formulas_cached_only"]}
["The statistics of known miRNA quantification in mirPRo in chicken dataset"]
[]
["sample",1,2,3,4,5,6,7,8,9,"average"]
["total raw reads",624963,3461152,2884845,2763259,2561212,1922567,2234709,1769065,2956307,2353119.888888889]
["final clean reads mapped to known pre-miRNAs (hairpins)",156067,597283,551648,426976,424146,387577,441480,298329,521444,422772.22222222225]
["% of final clean reads mapped to known pre-miRNAs (hairpins) among total raw reads",24.972198354142567,17.25676884459278,19.122275200227396,15.451899369548784,16.560362828223514,20.159349453100983,19.755592338868283,16.86365396409968,17.638357586001725,18.642273104311744]
["final clean reads counted as mature miRNAs",138437,512739,475501,366465,365798,339557,388071,258535,446833,365770.6666666667]
["% of final clean reads counted as mature miRNAs among total raw reads",22.15123135289609,14.814113913517811,16.482722641944367,13.262057592140295,14.282222635221137,17.66164716236157,17.365616731305956,14.614217114690527,15.114566924206452,16.194266229809354]

{"sheet":"chicken miRDeep2","index":5,"n_rows":8,"n_cols":11,"rows_kept":8,"flags":["formulas_cached_only"]}
["The statistics of known miRNA quantification in miRDeep2 in chicken dataset"]
[]
["sample",1,2,3,4,5,6,7,8,9,"average"]
["total raw reads",624963,3461152,2884845,2763259,2561212,1922567,2234709,1769065,2956307,2353119.888888889]
["final clean reads mapped to known pre-miRNAs (hairpins)",156067,597283,551648,426976,424146,387577,441480,298329,521444,422772.22222222225]
["% of final clean reads mapped to known pre-miRNAs (hairpins) among total raw reads",24.972198354142567,17.25676884459278,19.122275200227396,15.451899369548784,16.560362828223514,20.159349453100983,19.755592338868283,16.86365396409968,17.638357586001725,18.642273104311744]
["final clean reads counted as mature miRNAs",257750,958699,925433,726117,709128,648694,781080,462595,864313,703756.5555555555]
["% of final clean reads counted as mature miRNAs among total raw reads",41.24244155253991,27.698841310638773,32.07912383507606,26.277558491621665,27.687204339195663,33.741034772780345,34.95220183030543,26.149123972267834,29.236239673349218,31.007085530863876]