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Data analysis, machine learning, LLM apps, and prompt design (8.9K skills)

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A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. With this respect the huge number of experimental mass spectra typically have to be assigned to theoretical peptides derived from a sequence database. Search engines are used for this purpose. These tools compare each of the observed spectra to all candidate theoretical spectra derived from the sequence data base and calculate a score for each comparison. The observed spectrum

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Defines a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metada

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

lisaClust provides a series of functions to identify and visualise regions of tissue where spatial associations between cell-types is similar. This package can be used to provide a high-level summary of cell-type colocalization in multiplexed imaging data that has been segmented at a single-cell resolution.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

TreeSummarizedExperiment has extended SingleCellExperiment to include hierarchical information on the rows or columns of the rectangular data.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Genomic data analyses requires integrated visualization of known genomic information and new experimental data. Gviz uses the biomaRt and the rtracklayer packages to perform live annotation queries to Ensembl and UCSC and translates this to

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Seamlessly interfaces the Basic Local Alignment Search Tool (BLAST) to search genetic sequence data bases. This work was partially supported by grant no. R21HG005912 from the National Human Genome Research Institute.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Generate SuperSigs (supervised mutational signatures) from single nucleotide variants in the cancer genome. Functions included in the package allow the user to learn supervised mutational signatures from their data and apply them to new data. The methodology is based on the one described in Afsari (2021, ELife).

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

'ggtree' extends the 'ggplot2' plotting system which implemented the grammar of graphics. 'ggtree' is designed for visualization and annotation of phylogenetic trees and other tree-like structures with their annotation data.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Provides S4 data structures and basic functions to deal with flow cytometry data.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Provides methods to convert between Python AnnData objects and SingleCellExperiment objects. These are primarily intended for use by downstream Bioconductor packages that wrap Python methods for single-cell data analysis. It also includes f

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

mzR provides a unified API to the common file formats and parsers available for mass spectrometry data. It comes with a subset of the proteowizard library for mzXML, mzML and mzIdentML. The netCDF reading code has previously been used in XC

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

This is an R package for interfacing with the BIOM format. This package includes basic tools for reading biom-format files, accessing and subsetting data tables from a biom object (which is more complex than a single table), as well as limi

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Implements the circular binary segmentation (CBS) algorithm to segment DNA copy number data and identify genomic regions with abnormal copy number.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Tools for finding bumps in genomic data

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

HiContacts provides a collection of tools to analyse and visualize Hi-C datasets imported in R by HiCExperiment.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. bio

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

The ability to efficiently represent and manipulate genomic annotations and alignments is playing a central role when it comes to analyzing high-throughput sequencing data (a.k.a. NGS data). The GenomicRanges package defines general purpose

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Epialleles are specific DNA methylation patterns that are mitotically and/or meiotically inherited. This package calls and reports cytosine methylation as well as frequencies of hypermethylated epialleles at the level of genomic regions or individual cytosines in next-generation sequencing data using binary alignment map (BAM) files as an input. Among other things, this package can also extract and visualise methylation patterns and assess allele specificity of methylation.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

cogeqc aims to facilitate systematic quality checks on standard comparative genomics analyses to help researchers detect issues and select the most suitable parameters for each data set. cogeqc can be used to asses: i. genome assembly and annotation quality with BUSCOs and comparisons of statistics with publicly available genomes on the NCBI; ii. orthogroup inference using a protein domain-based approach and; iii. synteny detection using synteny network properties. There are also data visualizat

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

Provides a high-level R interface to CoreArray Genomic Data Structure (GDS) data files. GDS is portable across platforms with hierarchical structure to store multiple scalable array-oriented data sets with metadata information. It is suited

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

This package supports functional characteristics of both coding and non-coding genomics data for thousands of species with up-to-date gene annotation. It provides a univeral interface for gene functional annotation from a variety of sources

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026

The ggbio package extends and specializes the grammar of graphics for biological data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor

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bioMate-AI/biomate-bioconductor-kb797Updated Jun 21, 2026