Result for 03521267F32C6A18884D8765EB388F17C845F707

Query result

Key Value
FileName./usr/bin/crac
FileSize471736
MD59C3618B950EDFA507788FD76BFA0F79E
SHA-103521267F32C6A18884D8765EB388F17C845F707
SHA-256F07A37B4105C9F3250B8C32C32AFD6C10E12BC7E54CE8E60A4C9C881E390EC6A
SSDEEP12288:COXuH8ozHULhKPf3MQ3E0+aardlbtTEY+DB:CGqShc3M30fu
TLSHT151A43B07B69214BCC1D6C471866BD5639531BC9882623DBF718CE7302F62E315F6BBA2
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