Result for 3BDE5FD7C7D93A67C502D42C4C7C5DAFC2982010

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/Meta/data.rds
FileSize71
MD54542C1231083C16AE8F41A1D7FF73D1C
SHA-13BDE5FD7C7D93A67C502D42C4C7C5DAFC2982010
SHA-256825D28A9FA46D75417D6B1A873A798D4DDF78A4C1F683DB0C8E5CBAB9390A67C
SSDEEP3:FttVFHyDF0K1KrsHCGvHF:XtVFSDHY6l
TLSHT178A0026C13C62830D8A6153072510B9630B56D724975459719B50B4B77A360187512FB
hashlookup:parent-total6
hashlookup:trust80

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Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD58CBD4837FF171F0F531CA9F4D407E6DC
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
PackageRelease6.fc17
PackageVersion0.9.31
SHA-156CC0597A5CF3E36CD10A7414693F78F9B24FC3A
SHA-2568F9864304C4DD03380BC226D816DB520B5B2CCCDBD74279513B33C0B8076CB87
Key Value
MD57381166D11926B0FD9ECB72FE7A3CAA0
PackageArcharmv5tel
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
PackageRelease6.fc17
PackageVersion0.9.31
SHA-177D1C6C88003B1B495647F0A7B501DF035B0C730
SHA-2561C3EF99E8701F7E066B87E684E2AC28DF94A6E7C71D7AC7FC2199CD166EAE6CB
Key Value
MD57B8AF1DACA4B381A2F82496C9DF695B9
PackageArcharmv7hl
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
PackageRelease6.fc17
PackageVersion0.9.31
SHA-1F7981AB30286362C0656E6C43503F16B6C5AD296
SHA-256384AD4387AC543C0CDD56ECA40F5EE4F6E69D454B0E386C57F927AE95DE63A2B
Key Value
MD57880DDB39D48568B3862BC1234882CAC
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
PackageRelease6.fc17
PackageVersion0.9.31
SHA-1A1AAD2267E7D1BBD37398D4C1EFF2BE814AD2690
SHA-256222CB5941E019CA26E21CA02FE7013D1181A25EBD433DB513C5C840A54E8CE6A
Key Value
MD52DAE68156652977406C775A524DDED53
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
PackageRelease6.fc17
PackageVersion0.9.31
SHA-1E1536BEC6791FCFB8F933B471A80C915087B5FC2
SHA-256B928A0356840BD6F8F8EEF85EF0050A15041A0F4BB997CB358A6A61D7F4BA968
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