# Algorithms and Software for the Assembly of Metagenomic Data

> **NIH NIH R01** · UNIV OF MARYLAND, COLLEGE PARK · 2020 · $634,665

## Abstract

Abstract
Through this proposal, we will develop new computational tools for reconstructing nearly-
complete microbial genomes from complex mixtures, as well as their strain structure. We
will build upon our initial successes in developing metagenomic assembly algorithms capable of
characterizing strain variants (7, 8), as well as upon our experience in using co-abundance across
samples to link/bin together genes originating from the same organism (9). In addition, we will
develop algorithms able to use information generated by emerging technologies, such as
chromosome conformation information generated by Hi-C (10-12), or information about DNA
modifications as generated by new nanopore sequencing devices(13, 14).

## Key facts

- **NIH application ID:** 9842071
- **Project number:** 2R01AI100947-05A1
- **Recipient organization:** UNIV OF MARYLAND, COLLEGE PARK
- **Principal Investigator:** Mihai Pop
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $634,665
- **Award type:** 2
- **Project period:** 2013-03-21 → 2023-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9842071

## Citation

> US National Institutes of Health, RePORTER application 9842071, Algorithms and Software for the Assembly of Metagenomic Data (2R01AI100947-05A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9842071. Licensed CC0.

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