Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/q2_dada2/tests/data/sample_seqs_paired/YUN1242.3_44_L001_R2_001.fastq.gz |
FileSize | 10966 |
MD5 | A6BD7DF1BFCC56D35645221F4DFE8F55 |
SHA-1 | 10EF909C6AC5A93560421AC4A0DA311DB673586A |
SHA-256 | 98F92AC3B21EEE75D6BF3CDFB4FF530634052BC475FD6DFEC84D958ED71A1445 |
SSDEEP | 192:6xCelNFp3YK3vlMtWxqrQX8G7bqwcQEwPo8Wi9GeYYeWWvT:6xCYv3YYvilcsm5ngVsG9r |
TLSH | T14132BFDA9DC151551FA80BEAEC80AD9573B3604B0B949BEF00FAAC47DD9D5C4701F923 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 394216 |
MD5 | 6BAFDF5AB6A7A54FF2E8FE740AEE7E93 |
PackageDescription | QIIME 2 plugin to work with adapters in sequence data QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features: * Integrated and automatic tracking of data provenance * Semantic type system * Plugin system for extending microbiome analysis functionality * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed. . This package wraps the dada2 R package in BioConductor for modeling and correcting Illumina-sequenced amplicon errors. This was shown to improve the sensitivity of diversity analyses. |
PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
PackageName | q2-dada2 |
PackageSection | science |
PackageVersion | 2020.11.1-3 |
SHA-1 | 37FEA3FD6E76BD114CF20256E4A410F5C55B46AD |
SHA-256 | DAEBA909ACA8F7686033764E5B080277B818FFBC46C229FD36D466E7A718A81C |
Key | Value |
---|---|
FileSize | 394248 |
MD5 | C39C37CBF05C5A28DEAA17284FF1E352 |
PackageDescription | QIIME 2 plugin to work with adapters in sequence data QIIME 2 is a powerful, extensible, and decentralized microbiome analysis package with a focus on data and analysis transparency. QIIME 2 enables researchers to start an analysis with raw DNA sequence data and finish with publication-quality figures and statistical results. Key features: * Integrated and automatic tracking of data provenance * Semantic type system * Plugin system for extending microbiome analysis functionality * Support for multiple types of user interfaces (e.g. API, command line, graphical) . QIIME 2 is a complete redesign and rewrite of the QIIME 1 microbiome analysis pipeline. QIIME 2 will address many of the limitations of QIIME 1, while retaining the features that makes QIIME 1 a powerful and widely-used analysis pipeline. . QIIME 2 currently supports an initial end-to-end microbiome analysis pipeline. New functionality will regularly become available through QIIME 2 plugins. You can view a list of plugins that are currently available on the QIIME 2 plugin availability page. The future plugins page lists plugins that are being developed. . This package wraps the dada2 R package in BioConductor for modeling and correcting Illumina-sequenced amplicon errors. This was shown to improve the sensitivity of diversity analyses. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | q2-dada2 |
PackageSection | science |
PackageVersion | 2020.11.1-3 |
SHA-1 | DC9C5860E3E4839ECC5C132CBA38117F1346BD19 |
SHA-256 | 353E3062E23F9CF9D603D35F757CDE4A71CDC00D90510AEC176B397D0D085356 |