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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Extract the genomic locations of genes, transcripts, exons, introns, and CDS, for the gene models stored in a TxDb object. A TxDb object is a small database that contains the gene models of a given organism/assembly. Bioconductor provides a
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Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.
BiocManager::install("GenomicFeatures")GRanges objects using transcripts, exons, or cds.GRangesList using transcriptsBy or exonsBy.TxDb with a BSgenome package and using extractTranscriptSeqs.BSgenome package (use BSgenome directly instead because GenomicFeatures only stores coordinates).findOverlaps on the extracted GRangesList instead).TxDb object (loaded via loadDb or an annotation package like TxDb.Hsapiens.UCSC.hg19.knownGene).BSgenome package (e.g., BSgenome.Hsapiens.UCSC.hg19).select.select.select.tx_chrom, tx_strand) to subset results in transcripts.promoters.promoters.transcriptsBy or exonsBy.extractTranscriptSeqs.seqlevels before extracting features to limit the data returned.select to map between different identifiers (e.g., TXNAME to GENEID) within the TxDb object.GRangesList (e.g., using exonsBy) before using findOverlaps to contextualize high-throughput sequencing alignments.cdsBy to subset coding regions before calling extractTranscriptSeqs.cdsBy before passing them to translate.seqlevels0 to reset to the original chromosomes stored in the database.txdbmaker: For making TxDb objects from genomic annotations (UCSC, Ensembl, GFF) rather than querying existing ones.BSgenome: For working directly with full genome sequences rather than transcript-specific metadata.GenomicRanges: For general manipulation of GRanges objects rather than extracting them from a database.This skill is the knowledge layer — when, why, and how to use genomicfeatures. 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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The package contains functions for exploratory oligonucleotide array analysis. The dependence on tkWidgets only concerns few convenience functions. 'affy' is fully functional without it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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
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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
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apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
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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
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