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From YouTube: Ignite talks - Apps for Life and Data Science
Description
Brief talk sharing the techniques and highlights of the Jenkins configuration that Ioannis uses in life sciences and in data science. Includes Javascript details, charts, and graphs to illustrate the tools they have created.
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The
reason
for
this
is
that,
if
look
at
the
basic
cycle
of
software
publishing
steps,
they
very
closely
resemble
those
of
typical
scientific
data,
processing
and
analysis
and
jenkins
has
essentially
all
of
the
tooling
that's
required
to
be
able
to
do
the
same
kind
of
steps
in
analytical
and
life
science
space.
So
the
key
enablers
for
this
is
at
least
from
my
point
of
view,
the
accessibility
that
jenkins
provides
to
to
these
tools.
Through
its
web
portal.
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So
as
an
integration
platform,
jenkins
is
very,
very
successful
and
you
can
create
this
one-page
web
applications
really
cheaply.
Reproducibility
and
data
provenance
are
key
in
the
life
sciences
in
in
research.
Space
in
general
and
jenkins
offers
both
of
those
and
data
management,
as
well
as
sharing
and
collaboration,
become
really
powerful
within
the
context
of
jenkins.
So
all
of
these
things
are
things
that
we
propose
in
the
paper
we
published
and
actually
there's
two
manuscripts
now
about
jenkins
in
the
scientific
literature.
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Another
application
is
for
data
management
and
jenkins
is
really
really
cool
and
powerful
doing
that.
A
lot
of
the
data
that's
produced
in
the
lab
comes
as
delimited
data
that
is
very
amenable
to
sql
querying
and
transformation
all
that
stuff,
and
basically
we
have
many
jobs
that
deal
with
this
kind
of
data,
and
I
will
show
you
an
example,
but
basically
these
jobs
also
use
an
embedded
h2
java
database.
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Similarly,
we
have
a
lot
of
need
for
image
and
data
annotation
and
review,
and
I
will
show
you
a
couple
examples
where
we
have
integrated
some
of
the
build
forms
with
javascript
high
resolution
viewers
that
allow
us
to
view
images,
but
also
as
well.
You
know
integrate
a
lot
of
interactive
views,
reports
and
analysis
into
into
jenkins.
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So
that's
it!
I
just
you
know,
want
to
thank
a
bunch
of
people
here
both
from
my
work.
Interestingly
enough,
as
I
said,
my
boss
is
called
jeremy
jenkins
and
actually
he
has
accepted
the
the
jenkins
icon.
He
uses
quite
a
bit
in
his
sort
of
where
he
needs
to
put
his
picture
sometimes,
and
of
course
you
know
the
community
here
and
by
own
organization,
and
last
summer
we
built
this
really
cool
machine
learning
plug-in
for
for
jenkins.
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I've
met
many
of
you
then
again
and
at
the
end
I
have
put
a
number
of
references
that
when
I
post
a
slide,
you
can
just
go
through
them
and
see
a
few
more
calls
and
cool
things
that
we
can
do
with
jenkins
for
data
science.
So
I'll
be
happy
if
you
have
any
any
questions
or
any
other
things
to
discuss.
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So
we
pull,
we
use
the
full
strength
of
you
know,
javascript
or
the
you
know,
python
and
r,
whatever
is
generating
graphics,
yeah
and,
and
this
particular
plugin
that
I'm
showing
you
here
is
called
the
summary
plugin,
which
creates
tab
tables
in
I
mean
tab
of
sort
of
yeah
tabular
forms
in
the
report
stage
of
junking.
So
you
can
get
this
kind
of
view.
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So
originally,
when
we
developed
this-
and
this
was
you
know
a
lot
of
questions
about
whether
you
can
use
these
in
jenkins
pipelines,
we
said
you
cannot
because
essentially
we're
manipulating
the
the
the
javascript,
the
the
the
ui
form
elements
trying
to
discover
what
these
parameters
were.
Sending
back,
but
more
recent
releases
of
the
active
choices
plug-in
do
support
now
pipeline
jobs.