The
framework
for
National
Algal
Biofuels
Technology
Roadmap
was
constructed
at
the
Workshop,
held
December
9-10,
2008,
University
of
Maryland-College
Park.
Workshop
organized
by
Biomass
Program
to
discuss
and
identify
critical
challenges
currently
hindering
development
a
domestic,
commercial-scale
algal
biofuels
industry.
This
presents
information
from
scientific,
economic,
policy
perspectives
that
can
support
guide
RD&D
investment
in
biofuels.
While
addressing
potential
economic
environmental
benefits
using
biomass
production
liquid
transportation
fuels,
describes
current
status
algae
RD&D.
In
doing
so,
it
lays
groundwork
identifying
likely
need
be
overcome
used
economically
viable
Genome biology,
Journal Year:
2017,
Volume and Issue:
18(1)
Published: May 5, 2017
High-throughput
technologies
have
revolutionized
medical
research.
The
advent
of
genotyping
arrays
enabled
large-scale
genome-wide
association
studies
and
methods
for
examining
global
transcript
levels,
which
gave
rise
to
the
field
"integrative
genetics".
Other
omics
technologies,
such
as
proteomics
metabolomics,
are
now
often
incorporated
into
everyday
methodology
biological
researchers.
In
this
review,
we
provide
an
overview
focus
on
their
integration
across
multiple
layers.
As
compared
a
single
type,
multi-omics
offers
opportunity
understand
flow
information
that
underlies
disease.
Current Metabolomics,
Journal Year:
2012,
Volume and Issue:
1(1), P. 92 - 107
Published: Nov. 1, 2012
Metabolomics
aims
to
provide
a
global
snapshot
of
all
small-molecule
metabolites
in
cells
and
biological
fluids,
free
observational
biases
inherent
more
focused
studies
metabolism.
However,
the
staggeringly
high
information
content
such
analyses
introduces
challenge
its
own;
efficiently
forming
biologically
relevant
conclusions
from
any
given
metabolomics
dataset
indeed
requires
specialized
forms
data
analysis.
One
approach
finding
meaning
datasets
involves
multivariate
analysis
(MVA)
methods
as
principal
component
(PCA)
partial
least
squares
projection
latent
structures
(PLS),
where
spectral
features
contributing
most
variation
or
separation
are
identified
for
further
with
mathematical
treatment,
these
not
panacea;
this
review
discusses
use
metabolomics,
well
common
pitfalls
misconceptions.
Chemical Society Reviews,
Journal Year:
2010,
Volume and Issue:
40(1), P. 387 - 426
Published: Aug. 17, 2010
The
study
of
biological
systems
in
a
holistic
manner
(systems
biology)
is
increasingly
being
viewed
as
necessity
to
provide
qualitative
and
quantitative
descriptions
the
emergent
properties
complete
system.
Systems
biology
performs
studies
focussed
on
complex
interactions
system
components;
emphasising
whole
rather
than
individual
parts.
Many
perturbations
mammalian
(diet,
disease,
drugs)
are
multi-factorial
small
parts
insufficient
understand
phenotypic
changes
induced.
Metabolomics
one
functional
level
tool
employed
investigate
metabolites
with
other
(metabolism)
but
also
regulatory
role
through
interaction
genes,
transcripts
proteins
(e.g.
allosteric
regulation).
Technological
developments
driving
force
behind
advances
scientific
knowledge.
Recent
two
analytical
platforms
mass
spectrometry
(MS)
nuclear
magnetic
resonance
(NMR)
spectroscopy
have
driven
forward
discipline
metabolomics.
In
this
critical
review,
an
introduction
metabolites,
metabolomes,
metabolomics
MS
NMR
will
be
provided.
applications
for
health-disease
continuum,
drug
efficacy
toxicity
dietary
effects
health
reviewed.
current
limitations
future
goals
discussed
(374
references).
Clinical Cancer Research,
Journal Year:
2009,
Volume and Issue:
15(2), P. 431 - 440
Published: Jan. 15, 2009
Abstract
Metabolomics,
an
omic
science
in
systems
biology,
is
the
global
quantitative
assessment
of
endogenous
metabolites
within
a
biological
system.
Either
individually
or
grouped
as
metabolomic
profile,
detection
carried
out
cells,
tissues,
biofluids
by
either
nuclear
magnetic
resonance
spectroscopy
mass
spectrometry.
There
potential
for
metabolome
to
have
multitude
uses
oncology,
including
early
and
diagnosis
cancer
both
predictive
pharmacodynamic
marker
drug
effect.
Despite
this,
there
lack
knowledge
oncology
community
regarding
metabolomics
confusion
about
its
methodologic
processes,
technical
challenges,
clinical
applications.
when
used
translational
research
tool,
can
provide
link
between
laboratory
clinic,
particularly
because
metabolic
molecular
imaging
technologies,
such
positron
emission
tomography
spectroscopic
imaging,
enable
discrimination
markers
noninvasively
vivo.
Here,
we
review
current
applications
metabolomics,
focusing
on
use
biomarker
diagnosis,
prognosis,
therapeutic
evaluation.
Annual Review of Plant Biology,
Journal Year:
2009,
Volume and Issue:
61(1), P. 463 - 489
Published: Jan. 23, 2009
Metabolomics
now
plays
a
significant
role
in
fundamental
plant
biology
and
applied
biotechnology.
Plants
collectively
produce
huge
array
of
chemicals,
far
more
than
are
produced
by
most
other
organisms;
hence,
metabolomics
is
great
importance
biology.
Although
substantial
improvements
have
been
made
the
field
metabolomics,
uniform
annotation
metabolite
signals
databases
informatics
through
international
standardization
efforts
remains
challenge,
as
does
development
new
fields
such
fluxome
analysis
single
cell
analysis.
The
principle
transcript
cooccurrence,
particularly
transcriptome
coexpression
network
analysis,
powerful
tool
for
decoding
function
genes
Arabidopsis
thaliana.
This
strategy
can
be
used
identification
involved
specific
pathways
crops
medicinal
plants.
has
gained
biotechnology
applications,
exemplified
quantitative
loci
prediction
food
quality,
evaluation
genetically
modified
crops.
Systems
driven
metabolome
data
will
aid
deciphering
secrets
systems
their
application
to