Result for 0418CEC30FF050BFD19C147E3CFD0E92CAC6A01A

Query result

Key Value
FileName./usr/lib/python3/dist-packages/multiqc/modules/kaiju/kaiju.py
FileSize13146
MD57C594C9D9F0EB2715ECA70CDBCBCE0B5
SHA-10418CEC30FF050BFD19C147E3CFD0E92CAC6A01A
SHA-2566A6EC738C78087812D07E14ECFD8DB71533C03CC84F5F9C72750D271F9767C1C
SSDEEP96:rqSyTkAX12jO89tMfKKQG9D0WNPhNxR6A1WHiMIHSH4LtF3cY1OhbifKhC4YKji0:rqS5UzfZ/t2Y1OhBCLL0T
TLSHT1D4423166310915366133687628E5A4033B203A5BEE856538BFFCE15C6F4893CF1EAED8
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
FileSize613116
MD51600FB57BAB080C25C4B82968D85741E
PackageDescriptionoutput integration for RNA sequencing across tools and samples The sequencing of DNA or RNA with current high-throughput technologies involves an array of tools and these are applied over a range of samples. It is easy to loose oversight. And gathering the data and forwarding them in a readable manner to the individuals who took the samples is a challenge for a tool in itself. Well. Here it is. MultiQC aggregates the output of multiple tools into a single report. . Reports are generated by scanning given directories for recognised log files. These are parsed and a single HTML report is generated summarising the statistics for all logs found. MultiQC reports can describe multiple analysis steps and large numbers of samples within a single plot, and multiple analysis tools making it ideal for routine fast quality control.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamemultiqc
PackageSectionscience
PackageVersion1.11+dfsg-1
SHA-193620EB30487D4AA05F431CBEE0330901BEEC839
SHA-256D7AE59C5ED67BA154A10EC1A668EE8DB4E4C0A0866DB7873601F3E4D6AE41606