Topic: cite-seq Goto Github
Some thing interesting about cite-seq
Some thing interesting about cite-seq
cite-seq,Scripts related to bulkRNA-seq as well as single-cell CITE-seq and VDJ-seq data of Gearty et al. (2021)
Organization: abcwcm
cite-seq,Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
User: alexisvdb
Home Page: https://alexisvdb.github.io/singleCellHaystack/
cite-seq,scpca-nf is the Nextflow workflow for processing Single-cell Pediatric Cancer Atlas Portal data
Organization: alexslemonade
cite-seq,MultiModal Classifier Hierarchy (MMoCHi)
Organization: donnafarberlab
Home Page: https://mmochi.readthedocs.io
cite-seq,A Snakemake workflow for processing and visualizing (multimodal) sc/snRNA-seq data generated with 10X Genomics Kits or in the MTX matrix file format powered by the R package Seurat.
Organization: epigen
cite-seq,Tools for single-cell feature barcoding analysis
User: jlduan
Home Page: https://jlduan.github.io/fba/
cite-seq,adtseq provides simple Rcpp methods to identify Antibody-Derived-Tags in single cell CITE/REAP-seq data
User: julianspagnuolo
cite-seq,Single cell analysis in the browser
Organization: kanaverse
Home Page: https://kanaverse.org/kana/
cite-seq,Prediction of surface protein expression from mRNA expression using a regression auto-encoder neural network.
User: karthik-d
cite-seq,CITE-seq profiling of human PBMCs at baseline and activation conditions
User: nlawlor
Home Page: https://thejacksonlaboratory.shinyapps.io/czi-pbmc-cite-seq
cite-seq,scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
Organization: novartis
Home Page: https://scar-tutorials.readthedocs.io/en/main/
cite-seq,Awesome single-cell CITE-sequencing Pipeline
Organization: openomics
Home Page: https://openomics.github.io/cyte-seek/
cite-seq,Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
User: parashardhapola
Home Page: http://scarf.readthedocs.io
cite-seq,A framework for simulation of spatially-resolved omics data using python
Organization: pinellolab
cite-seq,Accompanying code for analysis of manuscript in Nature Aging: Implications of stress-induced gene expression for hematopoietic stem cell aging studies
User: razofz
Home Page: https://www.nature.com/articles/s43587-023-00558-z
cite-seq,Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
User: rezakj
cite-seq,scPerturb: A resource and a python/R tool for single-cell perturbation data
Organization: sanderlab
Home Page: http://www.sanderlab.org/scPerturb/
cite-seq,muon is a multimodal omics Python framework
Organization: scverse
Home Page: https://muon.scverse.org/
cite-seq,Deep probabilistic analysis of single-cell and spatial omics data
Organization: scverse
Home Page: http://scvi-tools.org/
cite-seq,Project analyzing multi-omics genomics data from a COVID-19 study.
User: sylviayz
cite-seq,Novel joint clustering method with scRNA-seq and CITE-seq data
User: tarot0410
cite-seq,Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments
User: terkild
cite-seq,Material for Bioconductor 2023 workshop on interoperation with python
User: vjcitn
Home Page: https://vjcitn.github.io/BiocPyInterop/
cite-seq,experimental interface between R and scvi-tools
User: vjcitn
Home Page: https://vjcitn.github.io/scviR
cite-seq,ADTnorm normalizes the cell surface protein measurement of CITE-seq data, facilitating across batches and across studies data integration.
User: yezhengstat
Home Page: https://yezhengstat.github.io/ADTnorm/articles/ADTnorm-tutorial.html
cite-seq,Maintained elsewhere. See README.
User: yuan-yin-truly
cite-seq,A ShinyApp for visualization and explorering Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data
User: zqzneptune
Home Page: https://citexpresso.net/DemoShiny/
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