Result for 0247A853FD8AA943AD7A73D7B2155B6247A5AD6D

Query result

Key Value
FileName./usr/share/doc/crac/examples/test_f/bug/bug-18524.sam
FileSize3945
MD5041EC614732B3DD8B71DD3982371B15E
SHA-10247A853FD8AA943AD7A73D7B2155B6247A5AD6D
SHA-2568DDBBCB6C9CF1D870D7BBA426AAC7A4EFFB1D7052DEBCC2EC879D2687111DB37
SSDEEP96:dVDb2F+xNE2F+xN72F+8RwOfib2F+xNE2F+xN72F+8RwOfu:bZwoGwou
TLSHT10C8137B81E914946242417E7786F368E56C88605F1983983FF39CF2C9D746A3E47F8E8
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
FileSize316712
MD5E3EEFE20C4EA81C9ECCFA35820DB11C5
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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamecrac
PackageSectionscience
PackageVersion2.5.0+dfsg-3
SHA-17480D9C0F5CFF91908DFB3A13D271BC74644AA4C
SHA-256519E27309897F87906BB85F68D8B8D0BC73115A4E58711683E9DC54267246C38