Bloomberg BNA Business' “Diagnostic Testing & Emerging Technologies” highlights how NextCODE is providing a qualitatively different way to store and analyze genomic information to meet growing opportunities in personalized medicine.

1. Genome
Data
Interpreta-on:
How
to
Ease
the
Bo5leneck
Hannes
Smarason
Genome
Sequencing
|Personalized
Medicine
|
Transforming
Health
Care

2. Breaking
the
Data
“Bo5leneck”
While
various
systems
have
been
established
in
recent
years
to
store
the
large
amounts
of
genomic
data
from
pa>ents’
DNA,
a
remaining
obstacle
is
to
“break
the
boFleneck”
so
that
researchers
can
process
the
vast
data
in
mul>ple
human
genomes
in
order
to
iden>fy
and
isolate
a
small,
useful
piece
of
informa>on
about
disease.

3. Breaking
the
Data
“Bo5leneck”
• Conven>onal
databases
and
algorithms
have
not
been
able
to
efficiently
and
reliably
iden>fy
subset
informa>on
among
the
millions
of
gene>c
markers
in
order
to
inform
clinical
decisions.
This
has
become
a
major
data
management
roadblock.
• The
key
is
to
find
new
approaches
for
databases
and
algorithms
that
accommodate
the
unique
ways
that
genomic
informa>on
is
analyzed
and
interpreted.

4. Improving
the
Efficiency
of
Storage
and
Analysis
As
discussed
in
Bloomberg
BNA,
Diagnos>c
Tes>ng
&
Emerging
Technologies,
NextCODE
is
already
easing
this
boFleneck
by
providing
a
qualita>vely
different
way
to
store
and
analyze
genomic
informa>on
and
apply
it
to
meet
the
growing
opportuni>es
for
personalized
medicine.

5. Efficient
Database
Organiza-on
• NextCODE’s
Genomically
Ordered
Rela>onal
(or
GOR)
database
infrastructure
is
a
truly
different
way
of
storing
this
huge
amount
of
data.
The
principle
is
very
simple:
– Rather
than
store
sequence
and
reference
data
in
vast
unwieldy
files,
it
>es
data
directly
to
its
specific
genomic
posi>on.
– As
a
result,
the
algorithms
are
vastly
more
efficient
compared
to
a
tradi>onal
rela>onal
database
because
they
can
isolate
by
loca>on
in
the
genome.
• That
makes
analysis
faster,
more
powerful
and
radically
more
efficient,
both
in
terms
of
clinicians’
and
researchers’
>me,
as
well
as
computer
infrastructure,
I/O
and
CPU
usage.

6. Holis-c
Approach,
Broad
Applicability
This
holis>c
approach
applies
broadly
to
the
priori>es
of
genome
scien>sts
around
the
world,
helping
them
eliminate
the
data
management
boFleneck
to
iden>fy
more
culprits
to
many
inherited
diseases,
more
quickly
and
cost
effec>vely.
Read
more
about
NextCODE’s
work
here.