# Comprehensive, Flexible and FAIR Tools for the HuBMAP HIVE

> **NIH NIH OT2** · CARNEGIE-MELLON UNIVERSITY · 2020 · $1,000,000

## Abstract

The Human BioMolecular Atlas Program (HuBMAP) will redefine our understanding of the human
body by recovering multi-scale tissue organization -- anatomical, histological, and molecular, at
unprecedented resolution, through computational integration of diverse experimental
measurements. In Year 3 of the project we would continue to focus on the development of and
implementation of computational tools and pipelines to support the various types of data that are
expected to be collected. These will include pipelines for the analysis of sequencing and imaging
data, new methods for processing and analyzing such data and interactive tools that will aid users
in the assignment of cell types from single cell sequencing data. We would work with other HIVE
groups to analyze and integrate data from different Tissue Mapping Centers to identify similarities
and differences in the set of genes and pathways used by similar cell types across different tissues
and organs. We would continue to lead several HuBMAP working groups and to interface with
other international efforts to make sure that work is not duplicated while also ensuring that all tools
required for HuBMAP are in available.

## Key facts

- **NIH application ID:** 10148079
- **Project number:** 3OT2OD026682-01S3
- **Recipient organization:** CARNEGIE-MELLON UNIVERSITY
- **Principal Investigator:** Ziv Bar-Joseph
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,000,000
- **Award type:** 3
- **Project period:** 2018-09-21 → 2022-09-20

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10148079

## Citation

> US National Institutes of Health, RePORTER application 10148079, Comprehensive, Flexible and FAIR Tools for the HuBMAP HIVE (3OT2OD026682-01S3). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10148079. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
