Loading debian/changelog +7 −0 Original line number Diff line number Diff line qiime (2019.1.0-2) UNRELEASED; urgency=medium * Team upload. * Delete old Qiime dependencies -- Liubov Chuprikova <chuprikovalv@gmail.com> Tue, 12 Mar 2019 00:13:16 +0200 qiime (2019.1.0-1) unstable; urgency=medium [ Andreas Tille ] Loading debian/control +22 −69 Original line number Diff line number Diff line Loading @@ -27,77 +27,30 @@ Depends: ${shlibs:Depends}, ${python3:Depends}, python3-bibtexparser, python3-decorator, python3-matplotlib, python3-numpy, python3-pandas, python3-tzlocal, python3-yaml, python-burrito, python-burrito-fillings (>= 0.1.1), python-biom-format, python-cogent (>= 1.5.3), python-mpi4py, python-qcli, pynast (>= 1.2.2), qiime-data, ampliconnoise, blast2 | blast+-legacy, bwa, cd-hit, chimeraslayer, clearcut, clustalw, ea-utils, emperor (>= 0.9.51), fasttree, infernal, libjs-jquery, mafft, muscle, parsinsert, raxml, r-cran-optparse, rdp-classifier, seqprep, sortmerna, sumatra, swarm, vsearch Recommends: mothur, rtax Suggests: t-coffee, cytoscape, torque-client, qiime-default-reference python3-pyparsing, python3-dateutil Description: Quantitative Insights Into Microbial Ecology QIIME (canonically pronounced ‘Chime’) is a pipeline for performing microbial community analysis that integrates many third party tools which have become standard in the field. A standard QIIME analysis begins with sequence data from one or more sequencing platforms, including * Sanger, * Roche/454, and * Illumina GAIIx. QIIME can perform: * library de-multiplexing and quality filtering; * denoising with PyroNoise; * OTU and representative set picking with uclust, cdhit, mothur, BLAST, or other tools; * taxonomy assignment with BLAST or the RDP classifier; * sequence alignment with PyNAST, muscle, infernal, or other tools; * phylogeny reconstruction with FastTree, raxml, clearcut, or other tools; * alpha diversity and rarefaction, including visualization of results, using over 20 metrics including Phylogenetic Diversity, chao1, and observed species; * beta diversity and rarefaction, including visualization of results, using over 25 metrics including weighted and unweighted UniFrac, Euclidean distance, and Bray-Curtis; * summarization and visualization of taxonomic composition of samples using pie charts and histograms and many other features. 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 includes parallelization capabilities for many of the computationally intensive steps. By default, these are configured to utilize a mutli-core environment, and are easily configured to run in a cluster environment. QIIME is built in Python using the open-source PyCogent toolkit. It makes extensive use of unit tests, and is highly modular to facilitate custom analyses. 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. Loading
debian/changelog +7 −0 Original line number Diff line number Diff line qiime (2019.1.0-2) UNRELEASED; urgency=medium * Team upload. * Delete old Qiime dependencies -- Liubov Chuprikova <chuprikovalv@gmail.com> Tue, 12 Mar 2019 00:13:16 +0200 qiime (2019.1.0-1) unstable; urgency=medium [ Andreas Tille ] Loading
debian/control +22 −69 Original line number Diff line number Diff line Loading @@ -27,77 +27,30 @@ Depends: ${shlibs:Depends}, ${python3:Depends}, python3-bibtexparser, python3-decorator, python3-matplotlib, python3-numpy, python3-pandas, python3-tzlocal, python3-yaml, python-burrito, python-burrito-fillings (>= 0.1.1), python-biom-format, python-cogent (>= 1.5.3), python-mpi4py, python-qcli, pynast (>= 1.2.2), qiime-data, ampliconnoise, blast2 | blast+-legacy, bwa, cd-hit, chimeraslayer, clearcut, clustalw, ea-utils, emperor (>= 0.9.51), fasttree, infernal, libjs-jquery, mafft, muscle, parsinsert, raxml, r-cran-optparse, rdp-classifier, seqprep, sortmerna, sumatra, swarm, vsearch Recommends: mothur, rtax Suggests: t-coffee, cytoscape, torque-client, qiime-default-reference python3-pyparsing, python3-dateutil Description: Quantitative Insights Into Microbial Ecology QIIME (canonically pronounced ‘Chime’) is a pipeline for performing microbial community analysis that integrates many third party tools which have become standard in the field. A standard QIIME analysis begins with sequence data from one or more sequencing platforms, including * Sanger, * Roche/454, and * Illumina GAIIx. QIIME can perform: * library de-multiplexing and quality filtering; * denoising with PyroNoise; * OTU and representative set picking with uclust, cdhit, mothur, BLAST, or other tools; * taxonomy assignment with BLAST or the RDP classifier; * sequence alignment with PyNAST, muscle, infernal, or other tools; * phylogeny reconstruction with FastTree, raxml, clearcut, or other tools; * alpha diversity and rarefaction, including visualization of results, using over 20 metrics including Phylogenetic Diversity, chao1, and observed species; * beta diversity and rarefaction, including visualization of results, using over 25 metrics including weighted and unweighted UniFrac, Euclidean distance, and Bray-Curtis; * summarization and visualization of taxonomic composition of samples using pie charts and histograms and many other features. 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 includes parallelization capabilities for many of the computationally intensive steps. By default, these are configured to utilize a mutli-core environment, and are easily configured to run in a cluster environment. QIIME is built in Python using the open-source PyCogent toolkit. It makes extensive use of unit tests, and is highly modular to facilitate custom analyses. 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.