Result for 42FD77AAFFEEAE459C73FCE4CC6AB359D95E5E41

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/Meta/data.rds
FileSize72
MD55DE26CC08D339E5037CA3CF2522E03CF
SHA-142FD77AAFFEEAE459C73FCE4CC6AB359D95E5E41
SHA-256D4D72102F7EDEA46A3E5EC1E79AFBD8FEE3B20E6A7419028C07A718C0E836062
SSDEEP3:FttVFHHF5alg/P3FFRjxKIL35jlln:XtVFem/XRjMIL35b
TLSHT185A02200A0B808E0C803B030000C33C3820FE0F0E2B800CB0282232E003030AC8C2E8C
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
MD5A845CA37062E4BC1FDF5262B2AB59CA5
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
PackageRelease16.fc23
PackageVersion0.9.31
SHA-1AB873B18E9CE61E387AF143322102953894FC5DD
SHA-256C1841593C05C8E848FE042E95B863221C13A0F094ED807D4327E97E577315EDD
Key Value
MD530588FC932848F55EAC91D1CE197E3DE
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
PackageRelease16.fc23
PackageVersion0.9.31
SHA-1A9346A46886014EB6546007C292E33004CE4D76D
SHA-2563FCF676E2250D25023277B455DFA51086077BB79CFC3A739D91955B47C5F3AF2
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
Key Value
MD5038723E2FDBF1866142F97F2D6CD9000
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
PackageRelease16.fc23
PackageVersion0.9.31
SHA-109A8E74A798DB7C2518679EEBC0CD962DD5DF9A4
SHA-256DE49DF04112C772575BCCE21EAF03D7B65B46FA1FD353AD0809F80F84A407C34
Key Value
MD5DB9CD3D54BD8E067CE03AECF7F7897EB
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
PackageRelease16.fc23
PackageVersion0.9.31
SHA-11D1EFA7534704EF715FA89734D4747041A016695
SHA-256C51BBD1577A3458384713B8F0F6ECC007450126324567A63B07317041F8C08DA