Hi all,
I ran rsem on a bunch of Illumina transcriptomes to get FPKM values. Because of the large file size, I deleted the .fastq files containing the raw reads from my local machine. Now I realize that I never counted the number of reads in each input file and need to put that information in a poster I'm making without having to re-download the raw data (it's on a server in the US and I'm in Australia). I was wondering if there is an easy way to glean the original number of reads from from the rsem output files? I figured the .cnt file would but I compared the values in this file to the raw read count for one dataset that I re-downloaded and I can't figure out a correlation.
The .cnt file for one dataset:
There were 26031201 pairs of reads that went into this rsem analysis.
Thanks!
Kevin
I ran rsem on a bunch of Illumina transcriptomes to get FPKM values. Because of the large file size, I deleted the .fastq files containing the raw reads from my local machine. Now I realize that I never counted the number of reads in each input file and need to put that information in a poster I'm making without having to re-download the raw data (it's on a server in the US and I'm in Australia). I was wondering if there is an easy way to glean the original number of reads from from the rsem output files? I figured the .cnt file would but I compared the values in this file to the raw read count for one dataset that I re-downloaded and I can't figure out a correlation.
The .cnt file for one dataset:
Code:
23749538 2281663 0 26031201 987449 1294214 1331390 6796612 3 0 23749538 1 950273 2 505959 3 212225 4 250642 5 92501 6 87457 7 20239 8 48846 9 13012 10 32131 11 23953 12 8958 13 656 14 5164 15 3246 16 4698 17 337 18 2680 19 101 20 2745 21 1387 22 2533 23 280 24 2154 25 452 26 293 27 264 28 350 29 233 30 1883 31 87 32 355 33 763 34 64 35 285 36 61 37 29 38 255 39 22 40 860 41 50 42 76 43 5 44 75 45 26 46 1 47 6 48 183 49 11 50 116 51 3 52 50 53 3 54 32 55 7 56 13 57 73 58 3 59 6 60 1511 61 6 62 4 63 13 64 42 65 136 66 92 67 28 68 11 69 122 70 3 71 2 72 1 74 2 75 1 76 3 77 1 78 1 80 2 81 1 82 1 83 1 87 1 89 1 90 3 92 1 93 1 94 2 95 3 96 4 97 4 98 13 99 2 100 77 101 392 102 3 Inf 0
Thanks!
Kevin
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