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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MHC (major histocompatibility complex) molecules are cell surface complexes that present antigens to T cells. The repertoire of antigens presented in a given genetic background largely depends on the sequence of the encoded MHC molecules, and thus, in humans, on the highly variable HLA (human leukocyte antigen) genes of the hyperpolymorphic HLA locus. More than 28,000 different HLA alleles have been reported, with significant differences in allele frequencies between human populations worldwide
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library(immunotation)
# 1. Retrieve valid organisms and chain lookup table for humans
organisms <- get_valid_organisms()
human_chains <- retrieve_chain_lookup_table(organism = "human")
# 2. Map HLA alleles to serotypes and NetMHCpan inputs
allele_list <- c("A*01:01:01", "A*02:01:01", "B*39:01:01")
serotypes <- get_serotypes(allele_list, mhc_type = "MHC-I")
mhcpan_input <- get_mhcpan_input(allele_list, mhc_class = "MHC-I")
# 3. Query allele frequencies in global populations
freq_data <- query_allele_frequencies(
hla_selection = "A*02:01",
hla_sample_size_pattern = "bigger_than",
hla_sample_size = 10000,
standard = "g"
)
Input/Output Note: Inputs are HLA allele lists and population query parameters; outputs are serotypes, tool-compatible HLA strings, and population frequency tables.
get_serotypes.get_mhcpan_input.get_G_group) or P groups (get_P_group).query_allele_frequencies and query_haplotype_frequencies.plot_allele_frequency.immunotation only formats the inputs)."A*01:01:01")."human", "mouse") used in retrieve_chain_lookup_table."MHC-I" or "MHC-II") used in get_serotypes."MHC-I" or "MHC-II") used in get_mhcpan_input."bigger_than")."g" for Gold, "s" for Silver, "b" for Bronze).get_valid_organisms to check if a species is supported before building a lookup table.get_G_group or get_P_group to resolve ambiguous HLA typings.standard = "g" (Gold standard) to ensure high-quality allele frequency data.NA. Ensure both chains are annotated in the MHC restriction ontology (MRO).HLAtools: For general HLA data manipulation and analysis.まだレビューはありません。使ってみた感想をお寄せください。
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).
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。
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。