HTAN Notebooks

HTAN is a National Cancer Institute (NCI)-funded Cancer Moonshot initiative to construct 3-dimensional atlases of the dynamic cellular, morphological, and molecular features of human cancers as they evolve from precancerous lesions to advanced disease (Cell April 2020).

HTAN Clinical, Biospecimen, and Assay File Annotation Data

Exploring HTAN Clinical, Biospecimen, and Assay Metadata

Python

R

Utilizing the HTAN ID Provenance Google BigQuery Table

Python

Identifying Assay Data by Primary Organ Type in ISB-CGC

Python

Identifying and Compiling Precancer Cases and Samples in HTAN

Python

Molecular and Cellular Data in HTAN

A Guide to HTAN Data

Python

Analyzing HTAN scRNASeq Data Using CellTypist

Python

Exploring HTAN scRNA-seq data

Python

Constructing AnnData Objects with scRNA-seq Data from BigQuery

Python

Exploring HTAN MIBI Imaging data

Python

Exploring Spatial Cellular and Molecular Relationships

R

Analyzing HTAN Spatial data with BigQuery Geospatial Analytics

Python

HTAN Processing and Workflows

Integrating Controlled and Open Access 10X Visium Data in SB-CGC Data Studio

Python

Creating CDS Data Import Manifests Using BQ

Python


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