Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/q2_dada2/tests/data/sample_seqs_paired/PAP130.2_22_L001_R2_001.fastq.gz |
FileSize | 12137 |
MD5 | D68375000AC1091DE6E96F185C502433 |
SHA-1 | 1AA860723EA45CFC6C7BB3E9ED584F2203C2B802 |
SHA-256 | FE07B9A872666FE3A4460C2216FFBAD20ACF2243F2DC3EDAF61EEB3D0B4F0C98 |
SSDEEP | 192:JPCnPSImyvQPg2fsIEUcUHjtcFtBLvx6Gj1gY43dPnFuVBZKjvPxRrpsWjLNchY:onKIP+LscBjtcFf9jHMdPFujKDPjrpsI |
TLSH | T1DB42CF1C8E6089DE53E87E8032F7FB7D29DDADED5523885D58638A8141CA02DFEC504A |
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 |