{"id":48,"date":"2019-09-18T12:23:23","date_gmt":"2019-09-18T12:23:23","guid":{"rendered":"https:\/\/www.embl.org\/groups\/huber\/?page_id=48"},"modified":"2023-08-01T08:14:45","modified_gmt":"2023-08-01T08:14:45","slug":"software","status":"publish","type":"page","link":"https:\/\/www.embl.org\/groups\/huber\/software\/","title":{"rendered":"Software"},"content":{"rendered":"\n<h5 class=\"wp-block-heading\">We are a frequent contributor to the Bioconductor project<\/h5>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><a href=\"https:\/\/github.com\/const-ae\/lemur\">LEMUR<\/a><\/td><td>Cluster-free differential expression analysis of multi-condition single-cell data using Latent Embedding Multivariate Regression<\/td><\/tr><tr><td><a href=\"https:\/\/biofam.github.io\/MOFA2\/\">MOFA<\/a><\/td><td>Multi-Omics Factor Analysis<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/DESeq2\/\" target=\"_blank\" rel=\"noreferrer noopener\">DESeq2<\/a><\/td><td>Differential gene expression analysis based on the negative binomial distribution<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/IHW\/\">IHW<\/a><\/td><td>Multiple testing and false discovery rate (FDR) control by  Independent Hypothesis Weighting<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/EBImage\/\" target=\"_blank\" rel=\"noreferrer noopener\">EBImage<\/a><\/td><td>Image processing and analysis toolbox for R<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/Rarr\/\">Rarr<\/a><\/td><td>Read Zarr Files in R<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/rhdf5\/\">rdf5<\/a><\/td><td>R Interface to HDF5<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/vsn\/\">vsn<\/a><\/td><td>Normalization and variance stabilizing transformation of fluorescence intensity data<\/td><\/tr><tr><td><a rel=\"noreferrer noopener\" href=\"http:\/\/www.bioconductor.org\/packages\/devel\/bioc\/html\/cellHTS2.html\" target=\"_blank\">cellHTS2<\/a><\/td><td>Analysis of cell-based high-throughput screens<\/td><\/tr><tr><td><a rel=\"noreferrer noopener\" href=\"http:\/\/bioconductor.org\/packages\/release\/bioc\/html\/DEXSeq.html\" target=\"_blank\">DEXSeq<\/a><\/td><td>Inference of differential exon usage in RNA-Seq<\/td><\/tr><tr><td><a href=\"https:\/\/bioconductor.org\/packages\/HilbertVis\/\" target=\"_blank\" rel=\"noreferrer noopener\">HilbertVis<\/a><\/td><td>Visualize long vectors of data using Hilbert curves<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">    <\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Python<\/h5>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td>    <a rel=\"noreferrer noopener\" href=\"https:\/\/htseq.readthedocs.io\/en\/latest\/\" target=\"_blank\">HTSeq     <\/a><\/td><td>Processing and analyzing data from high-throughput sequencing assays<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">   <\/figcaption><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are a frequent contributor to the Bioconductor project LEMUR Cluster-free differential expression analysis of multi-condition single-cell data using Latent Embedding Multivariate Regression MOFA Multi-Omics Factor Analysis DESeq2 Differential gene expression analysis based on the negative&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-with-sidebar.php","meta":{"_acf_changed":false,"footnotes":""},"embl_taxonomy":[],"class_list":["post-48","page","type-page","status-publish","hentry"],"acf":[],"embl_taxonomy_terms":[],"_links":{"self":[{"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/pages\/48","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/comments?post=48"}],"version-history":[{"count":8,"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/pages\/48\/revisions"}],"predecessor-version":[{"id":9190,"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/pages\/48\/revisions\/9190"}],"wp:attachment":[{"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/media?parent=48"}],"wp:term":[{"taxonomy":"embl_taxonomy","embeddable":true,"href":"https:\/\/www.embl.org\/groups\/huber\/wp-json\/wp\/v2\/embl_taxonomy?post=48"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}