Result for 5B5FE0AD340CD5DBB2DC92C62AD8D5A6172E2554

Query result

Key Value
FileName./usr/lib64/R/library/Rsolid/help/aliases.rds
FileSize69
MD501F6928427619CC70CCF7CF20E4FA284
SHA-15B5FE0AD340CD5DBB2DC92C62AD8D5A6172E2554
SHA-2565D7D5DFB0BBBB08D64D0147EB2526F09683FAE012833732656BBFA43A62A4A6A
SSDEEP3:FttVFHp/Gv1DFsAoeXlAVcAl:XtVFtG1HycA
TLSHT1EEA00258536D8828D853EA33724E4D55940E06864344ADB7B91912083580ED6D59263F
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
MD5094AA9B9290288010F98B8C8690419D2
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
PackageRelease13.fc21
PackageVersion0.9.31
SHA-1EE01D01F529E15D3C2914BEC7AB3CD42D29E75C4
SHA-2569AE1A62F6DF1077D7602B12E0938BCEE25DD23E3667F7786976DEC10FD8CDF5E
Key Value
MD5E50F0163345661D73896C5E6908BF9C2
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
PackageRelease13.fc21
PackageVersion0.9.31
SHA-13925FC22754BEC7CECFB54ECF546923B068421A2
SHA-2560A8A9F4C6E8F27B3FE02F8C3CE74328FD2C1C9EF5BE9D3F729A48CC39E928B4B
Key Value
MD56DC22CB598E860FA9F159C434D45B689
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
PackageRelease13.fc21
PackageVersion0.9.31
SHA-1208B109F863FE29FCC56C9AB1004CD62E3858274
SHA-256E2A04407071D32F39AB8E02702AC1C207301C69460C15C43742AD909F524D22B
Key Value
MD5C16C6B51566E2EC6F003C6FE8AD65387
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
PackageRelease13.fc21
PackageVersion0.9.31
SHA-1ADA8909F700135DFD0B117F0328F89AC02C17959
SHA-2561E5E86C27985764FDA1837C02F1B3C1F9AD84334D51BF57BEC33EEE0B3774809
Key Value
MD550C6F06B06D43B7241F1F86DF67680DA
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
PackageRelease13.fc21
PackageVersion0.9.31
SHA-1CC2CB3D2422414F6BE9985827D4633862D5BC1F4
SHA-2568CC21E9DD089343F48D2E87A09D52C057FC114B6D6E04453D47A6C7220BCE136