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Phil Ewels
NGI Applications Development Facility
phil.ewels@scilifelab.se
The Future of Genomics in the Cloud
ROYAL INSTITUTE
OF TECHNOLOGY
8
Platforms
37
Facilities
163
Research
groups
Guidelines
and support
Available to all
Swedish researchers
State-of-the-art
infrastructure
Meetings
QC & Library
Preparation
Sequencing
Genotyping
Data analysis
& delivery
I N T R O T O G E N O M I C S
25 μm
30-40 trillion cells
30,000,000,000,000
6 μm 2 m
1 cell's worth of DNA
2 m
1 cell's worth of DNA
80
billion
km
1 Human's worth of DNA
(diameter of solar system)
(×2)
Your genome
40 trillion copies

of your genome
Human genome:
3.2ish billion DNA base pairs
Adenine
Cytosine
Thymine
Guanine
Human genome:
3.2ish billion DNA base pairs
Human Genome Volume One, Wellcome Collection 2005

Photos: Wellcome Library, London
ACTG
I N T R O T O G E N O M I C S
(picture version)
Cost per Human Genome
The first Human
genome took
13 years
to sequence
In 2016 at NGI Stockholm,

we sequenced a human genome equivalent
every 4.08 minutes
Cost per Human Genome
~200TB data delivered to research groups
4k CPU cores, 64TB RAM, ~2PB disk
G E N O M I C S A N A LY S I S
Human genome:
3.2ish billion DNA base pairs
..ACTGACTCTTAGCTATGGCTCTCTAGCTAGCTACGCTACTCGACTACGACTCGCTATCGCTAGCTATATATATTTCGATCGGCGCTATC..
TCTTAGCTATGGCTC CTCGCTATCGCTAGCTA
AGCTACGCTACTCGACTA
TTTCGATCGGCGC
DNA sequencing data:
50 DNA base pairs in a "read"
Between 10 and 350 million of them, per sample
TCTTAGCTATGGCTC CTCGCTATCGCTAGCTA
AGCTACGCTACTCGACTA
TTTCGATCGGCGC
A "reference genome"
..ACTGACTCTTAGCTATGGCTCTCTAGCTAGCTACGCTACTCGACTACGACTCGCTATCGCTAGCTATATATATTTCGATCGGCGCTATC..
TCTTAGCTATGGCTC CTCGCTATCGCTAGCTAAGCTACGCTACTCGACTA TTTCGATCGGCGC
"Alignment" to the reference genome
A "reference genome"
..ACTGACTCTTAGCTATGGCTCTCTAGCTAGCTACGCTACTCGACTACGACTCGCTATCGCTAGCTATATATATTTCGATCGGCGCTATC..
TCTTAGCTATAGCTC CTCGCTATCTCTAGCTAAGCTACGCTACTCGACTA TTTCGATCGGCGC
..ACTGACTCTTAGCTATGGCTCTCTAGCTAGCTACGCTACTCGACTACGACTCGCTATCGCTAGCTATATATATTTCGATCGGCGCTATC..
ACGACTCGCTATCTCTA
GCTATCTCTAGCTATAT
CTCTAGCTATATATAT
CGACTCGCTATCTCTAG
CTGACTCTTAGCTATGG
TTAGCTATGGCTCTCTA
CTCTTAGCTATGGCTCT
Disease causing mutation?
Normal Cancer Relapse
Multiple

species
Multiple

genome

versions
Multiple

alignment

tools
Lots of files!
A "reference genome"
..ACTGACTCTTAGCTATGGCTCTCTAGCTAGCTACGCTACTCGACTACGACTCGCTATCGCTAGCTATATATATTTCGATCGGCGCTATC..
https://registry.opendata.aws/aws-igenomes/
https://support.illumina.com/sequencing/
sequencing_software/igenome.html
iGenomes
https://ewels.github.io/AWS-iGenomes/
A N A LY S I S P I P E L I N E S
Automated
Reliable
Easy for others to run
Reproducible results
Parallelisable
nextflow run main.nf --reads "*.fastq.gz"
Singularity
nextflow run fastqc.nf --reads "*.fastq.gz"
SGE
LSF
PBS/Torque
NQSII
HTCondor
Ignite
GA4GH TES
1 1 2 3
work
results
+
https://nf-co.re/
+
+
AWS iGenomes
Traditional

HPC
and
ngisweden.scilifelab.se
opensource.scilifelab.se
NGI Stockholm
Maxime Garcia
Johannes Alneberg
Max Käller
Remi-Andre Olsen
Chuan Wang
Denis Moreno
Rickard Hammarén
Senthil Panneerselvam
QBiC Tübingen
Sven Fillinger
Alexander Peltzer
GIS Singapore
Andreas Wilm
Chih Chuan
CRG Barcelona
Paolo Di Tommaso
Phil Ewels
phil.ewels@scilifelab.se
ewels
tallphil
nf-co.re
ngisweden
AWS Cloud Credits for Research
sarek.scilifelab.se
Icons: flaticon.com
ngisweden.scilifelab.se
opensource.scilifelab.se
Phil Ewels
phil.ewels@scilifelab.se
ewels
tallphil
sarek.scilifelab.se
nf-co.re
We're hiring!
Systems / devops
No biology background
required
ngisweden
Icons: flaticon.com

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The future of genomics in the cloud