Result for 510487001830620A708B70685E393DCB4C8E0E29

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/Meta/links.rds
FileSize102
MD53C3D82743DEAD5B44134181EAA6519C5
SHA-1510487001830620A708B70685E393DCB4C8E0E29
SHA-256D5B11761DA8A15235CCF13B410C3E7CB22C18DC822DD077DF9340076E021AC68
SSDEEP3:FttVFHvFIkGv1zqO5u5r+n3p/xVBMXtXQ8DU2m+ZZll:XtVFKkG1WO5uxYZ5QXt3Dvm+P
TLSHT1B9B0121C41227855E5334678A2C59C3263DF10074CB205F13805341C04C4888C5A302C
hashlookup:parent-total5
hashlookup:trust75

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Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52DEB3D129989A527ECD6F537A56B7757
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
PackageRelease14.fc22
PackageVersion0.9.31
SHA-16FCA5AAD9A0ED81C9A6D6CD90F07F5F37C9E5F9D
SHA-256915E3769869AF82195B3C7410535F150560B55EB5C9B21DFD82398905F9CAFD6
Key Value
MD50E6C6EF234DEFCD727BB7B91EE2A26A7
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
PackageRelease14.fc22
PackageVersion0.9.31
SHA-1071A0ABEC65452F78DB94941A4E6763983BA4212
SHA-25674A907FD50D102B29FD977AA9BE90800D90F290C71A7B2A7FFD6C1059024E914
Key Value
MD509BDC2D179424398439D2C4BFF9AD415
PackageArchppc64le
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
PackageRelease14.fc22
PackageVersion0.9.31
SHA-1B3F0F3343949D6724A503FCCC5DE084186C9093C
SHA-256223F650E06B254031B7777F2EA61FF6246092ED09853985A6C820488B6240E10
Key Value
MD5BA1601DC6DC119FB8F7BA2820962A942
PackageArchaarch64
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
PackageRelease14.fc22
PackageVersion0.9.31
SHA-1F218D76BEAD56B125B7F89EC98695D35DDBE2E53
SHA-256721ED745E0999C1EA83D4F8FF14B421155D9DADE15D84AEA547DDF40087AF29F
Key Value
MD577E0EF9448722FBADF5868B0E124F4E5
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.
PackageMaintainerFedora Project
PackageNameR-Rsolid
PackageRelease14.fc22
PackageVersion0.9.31
SHA-14A9A0C4128E7602DDF385A82C5D746FD82C057FA
SHA-2569E19C8D30A6421489E50A1FC12C3228F36C5F6CBBDA4F73976BD70E2E7E58783