# Core 4: Genome Sequencing Core

> **NIH NIH P01** · DANA-FARBER CANCER INST · 2020 · $179,098

## Abstract

Project Summary (Core 4)
Whole genome sequencing is a specialized function requiring expertise, special instruments and facilities along
with informatics capabilities. This function cannot be performed in individual laboratories. Whole genome
sequencing is also evolving rapidly and constantly improving the read capabilities, number of samples per run
and informatics capabilities. There is only limited number of facilities available worldwide with such capabilities
to continue to innovate. Welcome Trust Sanger Institute (WTSI) is a leader in sequencing the human genome,
contributing one third of all the sequences and has made numerous contributions to other large genomes, lead
efforts to sequence pathogens and disease vectors and mouse RI strain genomes. WTSI is committed to
continually appraising new sequencing technologies, using in-house testing wherever possible, and will use
whatever future technology is most suitable and cost-effective for the applications demanded by the science
pursued at the Institute. The purpose of Core D is to provide for comprehensive genomic sequence analyses
by utilizing a state of the art `next generation' sequencing platform for both the sequencing of whole genome as
well as all coding exons/miRNA genes and the identification and characterization of genome-wide
rearrangements at base-pair resolution in samples detailed in Projects 1 , 2 and 4. We have also developed
and standardized single cell or small cell number whole genome sequencing. To meet these goals, in Core D
we will pursue the following specific aims: to perform whole genome sequencing to generate genome wide
substitution, indel, CNA and rearrangement data and streamlined analysis pipeline from IFM/DFCI 2017 study
samples (Sp Aim 1); and to generate a genome-wide rearrangement data at base-pair resolution from selected
samples to explore genomic changes during MM evolution from diagnosis to relapse (Sp. Aim 2). The core will
also utilize methods developed1 to make high efficiency libraries from minimal residual disease settings (100-
500 cells) for Project 4, to generate representative genome libraries from a few hundred cells. Further, the core
will provide bioinformatics expertise in the management and analysis of data produced within the core to
support the projects.

## Key facts

- **NIH application ID:** 9987292
- **Project number:** 5P01CA155258-09
- **Recipient organization:** DANA-FARBER CANCER INST
- **Principal Investigator:** Peter Campbell
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $179,098
- **Award type:** 5
- **Project period:** 2011-12-01 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9987292

## Citation

> US National Institutes of Health, RePORTER application 9987292, Core 4: Genome Sequencing Core (5P01CA155258-09). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9987292. Licensed CC0.

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