Result for 5375EBF97BD2BDF6F19C3313FD1923CC3F573753

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/R/Rsolid.rdb
FileSize4845
MD576C99D960A733EE384C07F10631DC046
SHA-15375EBF97BD2BDF6F19C3313FD1923CC3F573753
SHA-256CE93641574A78231E3AA11FA5E8F2D38E56D497937BB400B861CAC6EB10A1E61
SSDEEP96:PZfUUut+J2jUAKn2PvyCkqODd2zYwrdj+i/UfuPsMc4/6toxVSko5frJvRUi6:Pej+J2IAKn2PvGqlvdyiCmsMD32ko5f6
TLSHT13AA17EE50B00965F98357A142A9D36EA652C2CE1DC772A8ADA9BD3410F0380EDB297A5
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
MD58ABD6E19DAD1A5390711A001B79E8ECA
PackageArchppc64
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
PackageRelease6.fc17
PackageVersion0.9.31
SHA-1701AD172246B0A195B2DBA3E78CADE6ECD09158D
SHA-256820F57AE0BC056B84CD1CC291E321198AA24D3D544CE27047851A1007386F695