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Name: Praneet Chaturvedi
Type: User
Company: Relay Therapeutics
Bio: Scientist II @ RelayTx Interests: Bioinformatics, Computational Biology, Machine Learning
Twitter: praneet006
Location: Boston, MA
Name: Praneet Chaturvedi
Type: User
Company: Relay Therapeutics
Bio: Scientist II @ RelayTx Interests: Bioinformatics, Computational Biology, Machine Learning
Twitter: praneet006
Location: Boston, MA
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 (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
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
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: A supervised machine learning approach for label harmonization and annotation of single cell RNA-seq data (Shiny App)
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.
Analysis steps to calculate RNA Velocity in Bulk RNA-Seq samples. Step by Step Guide.
scRNAseq analysis notes from Ming Tang
R toolkit for single cell genomics
Code and Data Availability for Single cell transcriptomics reveals a signaling roadmap coordinating endoderm and mesoderm lineage diversification during foregut organogenesis
Single cell transcriptomics analysis scripts
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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