The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
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A set of tools for making TxDb objects from genomic annotations from various sources (e.g. UCSC, Ensembl, and GFF files). These tools allow the user to download the genomic locations of transcripts, exons, and CDS, for a given assembly, and
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Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.
BiocManager::install("txdbmaker")TxDb objects from UCSC Genome Browser transcript tables using makeTxDbFromUCSC.makeTxDbFromBiomart.makeTxDbFromGFF.TxDb objects to/from SQLite database files using saveDb and loadDb to avoid repeated download times.makeTxDbPackageFromUCSC or makeTxDbPackageFromBiomart.TxDb object, use GenomicFeatures instead, which implements the flexible extraction methods.TxDb objects from unsupported BioMart datasets (not all BioMart datasets are currently supported by makeTxDbFromBiomart).DEFAULT_CIRC_SEQS.saveDb and loadDb.supportedUCSCtables utility function to get a list of tables known to work with makeTxDbFromUCSC for your specific genome build.saveDb and label them with an appropriate time stamp to facilitate reproducible research and avoid bandwidth costs.getChromInfoFromBiomart to check what the different chromosomes are called for a given BioMart source before building the TxDb.saveDb to save the object locally and loadDb to initialize it from the .sqlite file in future sessions.TxDb object using R's base save function. Fix: Use saveDb instead, because TxDb objects are backed by a SQLite database and cannot be serialized normally.TxDb objects are actually implemented and which provides the methods to extract features from them.This skill is the knowledge layer — when, why, and how to use txdbmaker. To run this analysis on your own data with managed compute, automated QC, and reproducible outputs, use BioMate — free to start.
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概要と使いどころ
The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
日本語の概要は準備中です。原文の説明を表示しています。
This tool uses the label-tree function from HyPhy to annotate a phylogenetic tree. It allows users to select a subset of leaves using either a regular expression or a list of sequence names, and then apply a specified label to these selecte
日本語の概要は準備中です。原文の説明を表示しています。
This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
日本語の概要は準備中です。原文の説明を表示しています。
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
日本語の概要は準備中です。原文の説明を表示しています。
ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).
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AUCell allows to identify cells with active gene sets (e.g. signatures, gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched with
日本語の概要は準備中です。原文の説明を表示しています。