Result for 1DC09B32644AB7FC7FC762AE3DFF1643E9EFD714

Query result

Key Value
FileName./usr/lib/R/library/Rsolid/R/Rsolid.rdb
FileSize4856
MD53083190E0649E519D38D88C4E3ECF7C8
SHA-11DC09B32644AB7FC7FC762AE3DFF1643E9EFD714
SHA-25685C57CC3E37937ED1CF1DAA4597134650E8ECE5E8B905E1BF4C377D59F7DD1FC
SSDEEP96:wl3bpWRPKvQuJO8Av1jLYrqbdDYg1tClwiviVlYLNstt8M:wl9OPK7AvxgINY4tniaT4gL
TLSHT142A16DB6909C861134C8C81CD79DAAECE6813344276C62529D737B6A7642FC176D60BE
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
MD5A765912F72825921DD1C3393A8B3BEF7
PackageArchs390
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.
PackageMaintainerFedora Project
PackageNameR-Rsolid
PackageRelease11.fc20
PackageVersion0.9.31
SHA-1F4D63E9B6422FAC0B7C8EB264790AE15445C8CDE
SHA-25673FDD886549894676616C4C2CEBD8871BA1490357B9D5091EB9743E66DF91AF3