Result for 00657285E90FE61349265DD2DCCC24A7B101C779

Query result

Key Value
FileName./usr/bin/crac-index
FileSize177048
MD5AE48E288C9A1A1F9C56890728872D64E
SHA-100657285E90FE61349265DD2DCCC24A7B101C779
SHA-25694D18A1EF4E69432483FC313F48166F34044120AB8C399D5DA9A7862F26C1433
SSDEEP3072:SS8D/ukgjAyP2pHhgcHz0/A8BAmD0dReGYcxDm5joFg2q7Q11e5ii73IwROnFKC+:QD/SEyP2pHpaAmqRbDm5joKDs18iRwR2
TLSHT11F045B03B69318B9C1C6C57687879657B93078C483323EAF22C89B302D56B359F6976B
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize317836
MD556B01BB7967D51F28A513636559229BB
PackageDescriptionintegrated RNA-Seq read analysis CRAC is a tool to analyze High Throughput Sequencing (HTS) data in comparison to a reference genome. It is intended for transcriptomic and genomic sequencing reads. More precisely, with transcriptomic reads as input, it predicts point mutations, indels, splice junction, and chimeric RNAs (ie, non colinear splice junctions). CRAC can also output positions and nature of sequence error that it detects in the reads. CRAC uses a genome index. This index must be computed before running the read analysis. For this sake, use the command "crac-index" on your genome files. You can then process the reads using the command crac. See the man page of CRAC (help file) by typing "man crac". CRAC requires large amount of main memory on your computer. For processing against the Human genome, say 50 million reads of 100 nucleotide each, CRAC requires about 40 gigabytes of main memory. Check whether the system of your computing server is equipped with sufficient amount of memory before launching an analysis.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecrac
PackageSectionscience
PackageVersion2.5.0+dfsg-3
SHA-1A2960FF062A60DAB731FA2C46DFBB5648F192320
SHA-2569B35F224E738D5A716C40A9C8B4E5E7E7A153F2BE915DF0635EA0BDA0F686B1D