#98255Bioconductor Cellbarcode
bioMate-AI/biomate-bioconductor-kb
The package CellBarcode performs Cellular DNA Barcode analysis.
98,398 skills
bioMate-AI/biomate-bioconductor-kb
The package CellBarcode performs Cellular DNA Barcode analysis.
bioMate-AI/biomate-bioconductor-kb
The cellxgene data portal (https://cellxgene.cziscience.com/) provides a graphical user interface to collections of single-cell sequence data processed in standard ways to 'count matrix' summaries.
bioMate-AI/biomate-bioconductor-kb
ChIPseeker is a Bioconductor package for annotating ChIP-seq data analysis.
bioMate-AI/biomate-bioconductor-kb
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.
bioMate-AI/biomate-bioconductor-kb
This package encapsulate many functions to conduct a differential topology analysis.
bioMate-AI/biomate-bioconductor-kb
Statistical and computational method to analyze the co-expression of gene pairs at single cell level.
bioMate-AI/biomate-bioconductor-kb
Provides S4 classes for general nucleases, CRISPR nucleases, CRISPR nickases, and base editors.Several CRISPR-specific genome arithmetic functions are implemented to help extract genomic coordinates…
bioMate-AI/biomate-bioconductor-kb
Provides a comprehensive suite of functions to design and annotate CRISPR guide RNA (gRNAs) sequences.
bioMate-AI/biomate-bioconductor-kb
Provides R wrappers of several on-target and off-target scoring methods for CRISPR guide RNAs (gRNAs).
bioMate-AI/biomate-bioconductor-kb
Provides functionalities to visualize and contextualize CRISPR guide RNAs (gRNAs) on genomic tracks across nucleases and applications.
bioMate-AI/biomate-bioconductor-kb
MEM, Marker Enrichment Modeling, automatically generates and displays quantitative labels for cell populations that have been identified from single-cell data.
bioMate-AI/biomate-bioconductor-kb
This R package supports interactive visualization of multi-channel images and segmentation masks generated by imaging mass cytometry and other highly multiplexed imaging techniques using shiny.
bioMate-AI/biomate-bioconductor-kb
This package provides a collection of functions designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model.
bioMate-AI/biomate-bioconductor-kb
A package for demultiplexing single-cell sequencing experiments of pooled cells labeled with barcode oligonucleotides.
bioMate-AI/biomate-bioconductor-kb
Uses DESeq2 to estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.
bioMate-AI/biomate-bioconductor-kb
Intuitive framework for identifying spatially variable genes (SVGs) via edgeR, a popular method for performing differential expression analyses.
bioMate-AI/biomate-bioconductor-kb
performing all the steps of gene expression meta-analysis considering the possible existence of missing genes.
bioMate-AI/biomate-bioconductor-kb
Dino normalizes single-cell, mRNA sequencing data to correct for technical variation, particularly sequencing depth, prior to downstream analysis.
bioMate-AI/biomate-bioconductor-kb
doubletrouble aims to identify duplicated genes from whole-genome protein sequences and classify them based on their modes of duplication.
bioMate-AI/biomate-bioconductor-kb
The filtering uses intelligent methods to generate output 10X matrices as would be otherwise generated by CellRanger.
bioMate-AI/biomate-bioconductor-kb
Provides utilities for identifying drug-target interactions for sets of small molecule or gene/protein identifiers.
bioMate-AI/biomate-bioconductor-kb
This package provides a workflow for the use of EaSIeR tool, developed to assess patients' likelihood to respond to ICB therapies providing just the patients' RNA-seq data as input.
bioMate-AI/biomate-bioconductor-kb
Estimates differential gene expression for short read sequence count using methods appropriate for count data.
bioMate-AI/biomate-bioconductor-kb
Epialleles are specific DNA methylation patterns that are mitotically and/or meiotically inherited.
bioMate-AI/biomate-bioconductor-kb
epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models.
bioMate-AI/biomate-bioconductor-kb
The epistack package main objective is the visualizations of stacks of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq, DNA methyation or genomic conservation data) centered at…
bioMate-AI/biomate-bioconductor-kb
The creation of effective visualizations is a fundamental component of data analysis.
bioMate-AI/biomate-bioconductor-kb
This package builds on existing tools and adds some simple but extremely useful capabilities for working wth ChIP-Seq data.
bioMate-AI/biomate-bioconductor-kb
The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products.
bioMate-AI/biomate-bioconductor-kb
This package implements functions to find influential TF and target based on different input type.
bioMate-AI/biomate-bioconductor-kb
This package implements a metabolic network analysis pipeline to identify an active metabolic module based on high throughput data.
bioMate-AI/biomate-bioconductor-kb
This package contain functions to run genomic instability analysis (GIA) from scRNA-Seq data.
bioMate-AI/biomate-bioconductor-kb
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.
bioMate-AI/biomate-bioconductor-kb
Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP and Copy number variation data.
bioMate-AI/biomate-bioconductor-kb
Manhattan plot and QQ Plot are commonly used to visualize the end result of Genome Wide Association Study.
bioMate-AI/biomate-bioconductor-kb
granulator is an R package for the cell type deconvolution of heterogeneous tissues based on bulk RNA-seq data or single cell RNA-seq expression profiles.
bioMate-AI/biomate-bioconductor-kb
An implementation, which takes input data and makes it available for proper batch effect removal by ComBat or Limma.
bioMate-AI/biomate-bioconductor-kb
Systematic 3D interaction calls and differential analysis for Hi-C and HiChIP.
bioMate-AI/biomate-bioconductor-kb
R generic interface to Hi-C contact matrices in .(m)cool, .hic or HiC-Pro derived formats, as well as other Hi-C processed file formats.
bioMate-AI/biomate-bioconductor-kb
HiContacts provides a collection of tools to analyse and visualize Hi-C datasets imported in R by HiCExperiment.
bioMate-AI/biomate-bioconductor-kb
hoodscanR is an user-friendly R package providing functions to assist cellular neighborhood analysis of any spatial transcriptomics data with single-cell resolution.
bioMate-AI/biomate-bioconductor-kb
MHC (major histocompatibility complex) molecules are cell surface complexes that present antigens to T cells.
bioMate-AI/biomate-bioconductor-kb
InterCellar is implemented as an R/Bioconductor Package containing a Shiny app that allows users to interactively analyze cell-cell communication from scRNA-seq data.
bioMate-AI/biomate-bioconductor-kb
Given a matrix of counts (e.g. An agent skill from bioMate-AI/biomate-bioconductor-kb.
bioMate-AI/biomate-bioconductor-kb
When we combine gene-editing technology and sequencing technology, we need to reconstruct a lineage tree from alleles generated and calculate the similarity between each pair of groups.
bioMate-AI/biomate-bioconductor-kb
lisaClust provides a series of functions to identify and visualise regions of tissue where spatial associations between cell-types is similar.
bioMate-AI/biomate-bioconductor-kb
The Model-based Analysis of ChIP-Seq (MACS) is a widely used toolkit for identifying transcript factor binding sites.
bioMate-AI/biomate-bioconductor-kb
mastR is an R package designed for automated screening of signatures of interest for specific research questions.