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Praneet Chaturvedi's Projects

analyze_cytof_using_seurat icon analyze_cytof_using_seurat

Cytometry by time-of-flight(CyTOF) data is very useful in studying the presence/absence of antigens/surface markers at single cell level. There are multiple tools to analyze CyTOF data but here I am presenting a tutorial of how one can quickly use Seurat (R package for scRNA-Seq analysis) for analyzing CyTOF data and understand the cellular and phenotypic diversity

computational-suite-for-bioinformaticians-and-biologists icon computational-suite-for-bioinformaticians-and-biologists

Computational Suite For Bioinformaticians and Biologists (CSBB) provides 18 modules focused on analytical tasks like performing upper-quantile normalization, interactive visualization and next generation sequencing pipelines. CSBB now also has capability to process public data. Providing User with End to End pipeline experience

csbb-shiny icon csbb-shiny

Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis

elefhant icon elefhant

Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell datasets to generate a unified atlas and infer relationship among celltypes between two datasets. It uses an ensemble of three machine learning classifiers 1) RF 2) SVM and 3) LR

elefhant-shiny icon elefhant-shiny

ELeFHAnt: A supervised machine learning approach for label harmonization and annotation of single cell RNA-seq data (Shiny App)

explore-single-cell-resources-and-databases icon explore-single-cell-resources-and-databases

I have created a RShiny app to help community explore popular single cell based databases and resources. Please help add to this Shiny app and help community explore datasets from one webpage.

seurat icon seurat

R toolkit for single cell genomics

xenbase-ngs-bioinformatics-pipeline icon xenbase-ngs-bioinformatics-pipeline

Bioinformatics analysis pipeline to facilitate the processing of Gene Expression Omnibus Next Generation Sequencing datasets. Pipeline downloads, process and create visualization files. Supported genomes : xenopus-laevis, xenopus-tropicalis, human, mouse and zebrafish

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