Result for 4A47F97CABDF6F824CE6E61BC0282483E70824BD

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/R/Rsolid.rdb
FileSize4849
MD5B4113B12ED432DA9BE3BAB7A1E987345
SHA-14A47F97CABDF6F824CE6E61BC0282483E70824BD
SHA-2561331B0DF4AFAF0AF941CBFF63DA9B0395F6914147AAE6086C5D8B0AB2FF653E1
SSDEEP96:Egdn6kYnal8TQuJV3o9KKbPMHdCLDlcgKbh9QUrQGJ4svNkRiZ:jn6k0aabJahMyJlKdZpnVkRiZ
TLSHT12AA16E4E29C810160150596A13EC73AE5E9724097A09EC1FEB27EF76215CA7E3C4E19C
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
MD56D9EE842FDE2CCA62FC0221A1DFA6F13
PackageArchs390x
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
PackageRelease16.fc23
PackageVersion0.9.31
SHA-1737BEB7B9E924D4BFF718C7676A8323E4E4256AB
SHA-2562A2E8A1A1D1F28360B5021DE1CCD16C6FEA7463C73DED9E198C1029E81957F3A