Result for 541C485D0D7F916D08F4A86BFC54873FFCD2C6C7

Query result

Key Value
FileName./usr/lib/R/library/Rsolid/DESCRIPTION
FileSize652
MD5E1E4457488A9A747261C20BAA9F593D2
SHA-1541C485D0D7F916D08F4A86BFC54873FFCD2C6C7
SHA-256AB6DF5AE2909F4668EE79932AC580D68BA85B1EEC4A50043822771AE4234CAC5
SSDEEP12:06+QWtHbrXFFMB2X+5XaLzcSDx1JvLyLns2799Zv5PX7JFeMfjpViFbJDo+ZV:ontPXFF7u5WDx1JvmLnnDZv5lFe6pAFP
TLSHT137F0FE01CB6BE7B0D947428E08F8CBA989746053778A5494F99E8C14CA0534122636B8
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CB198B2C878F488C0E4E1B1EEE6BC919
PackageArchppc
PackageDescription Rsolid is an R package for normalizing fluorescent intensity data from ABI/SOLiD second generation sequencing platform. It has been observed that the color-calls provided by factory software contain technical artifacts, where the proportions of colors called are extremely variable across sequencing cycles. Under the random DNA fragmentation assumption, these proportions should be equal across sequencing cycles and proportional to the dinucleotide frequencies of the sample. Rsolid implements a version of the quantile normalization algorithm that transforms the intensity values before calling colors. Results show that after normalization, the total number of mappable reads increases by around 5%, and number of perfectly mapped reads increases by 10%. Moreover a 2-5% reduction in overall error rates is observed, with a 2-6% reduction in the rate of valid adjacent color mis-matches. The latter is important, since it leads to a decrease in false-positive SNP calls. The normalization algorithm is computationally efficient. In a test we are able to process 300 million reads in 2 hours using 10 computer cluster nodes. The engine functions of the package are written in C for better performance.
PackageMaintainerKoji
PackageNameR-Rsolid
PackageRelease7.fc18
PackageVersion0.9.31
SHA-18BB5DEBBAF23AE5BEF12AFD0E4014DB9795F7026
SHA-256EF81DA7BC2F0D63FDD95690BA29660AD9568253A9D50FE06CEC5E099256C9A3F