Result for 010E007CEE80A4A4A7C2C047A6972A0D353CFA9F

Query result

Key Value
FileName./usr/lib/python3/dist-packages/multiqc/modules/slamdunk/slamdunk.py
FileSize25861
MD5E689FFFA642D127F8135B9492DE69D15
SHA-1010E007CEE80A4A4A7C2C047A6972A0D353CFA9F
SHA-2562E00650178B82F98163A603F8DA94F7ABDBE58AC253DCD58BB63B53B75442097
SSDEEP384:N6jiVRwskszCGPfJTrSKfANyL9Nr29fnNVmE7bOtJKlDHzirB6Wq:N6WVRwshNSoYi2pNT/OtJcDHzirB6Wq
TLSHT184C2320D991C1E160343986D94FA72437B2AA27799993C0977BEC2081F4C55EB1B2FFE
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