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

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

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