Result for 3169EC3DBE6840C8102DE6EC710A2DB93E22EC8D

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/Meta/hsearch.rds
FileSize296
MD50CCE8B81E64698A6C071B666EF47EFA0
SHA-13169EC3DBE6840C8102DE6EC710A2DB93E22EC8D
SHA-2564E39F0B72B326F26D576BFA8BA5C80FD7122A5A3150883B248AE5C4D6A429BF3
SSDEEP6:XtV3ep4adKoTiDtF1SeZmIXS+/p6YILMP6pOtOzUjuA7zFZa+ll:XX+xKoOJF1SeZmAFB6XMP6pCdySku
TLSHT1B5E0EB751102502FE0329C30E5F28BFE1C539CD88E82806A9C5DC381B88C07283A80B8
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
MD577EEFBAB8B025020DDFB7E8A33FE2508
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
PackageRelease9.fc19
PackageVersion0.9.31
SHA-1318119A839687BF517823B2EA6850F13A529131F
SHA-2569FA6ED19F212ABCDED1BC313EA7F9B390450040FA0C98D76317BC047C2306799
Key Value
MD519A0A6BE31C9461B50446F1BF6C1B058
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
PackageRelease9.fc19
PackageVersion0.9.31
SHA-1D5733EF1BC2B1CC6D454C93E57E0A00CBC24D09F
SHA-256516592025DB5F60060AE754CB924E15F9D4140DB5047838C5686DBA9EF0766BA
Key Value
MD5DEB516E2EAFF7B8AFD16B1C63D9A1013
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
PackageRelease9.fc19
PackageVersion0.9.31
SHA-175C41F3AC9780122A18BF098D6D5C7C0C622D01F
SHA-2562C1961A44EC177518C3415248DC984344266E8E1E8005D7BBB61E3A0F423AEDB
Key Value
MD575B8FBC1F4B8DBA9DE75F2F4C8AAD0E5
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
PackageRelease9.fc19
PackageVersion0.9.31
SHA-1FB3A4ABCEA4CC2786CC5283447929633E61049BC
SHA-2568F647418A47024E16C4B2892F8913CDF3E15D23567F68E9FC5E3974F82ED3705
Key Value
MD52D3F8E99399D4D3D9B82A7991D72566B
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.
PackageMaintainerFedora Project
PackageNameR-Rsolid
PackageRelease9.fc19
PackageVersion0.9.31
SHA-18F41CB40EAF6A375E13D873A33D71D4618B794E4
SHA-256DFF2B7D156752F5254E335BAF940C793A04ADD82D664D3F3A699F15DA4454CB1