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From YouTube: DeSci Pinning and Compute Workshop - LabDAO + Bacalhau
Description
This talk was given at IPFS Camp 2022 in Lisbon, Portugal.
A
The
session
is
going
to
be
an
active
Workshop.
One
of
the
things
that
has
happened.
It
worked
really
well
in
past
DC
sessions
is
to
take
a
little
bit
of
time
to
both
network
with
folks
who
are
here
at
the
conference
and
also
do
a
little
bit
of
Hands-On
constructive
work
around
actually
identifying
data
sets
that
are
interesting
as
researchers
and
decentralized
scientists
and
then
also
testing
some
of
these
workloads
through
project
bacliao
and
I'll.
Let
Nicholas
I'll.
Let
you
join
me
up
here
when
you're
ready
so.
B
So
when
when
was
and
I
sat
down-
and
we
said
okay,
what
are
we
gonna?
What
are
we
gonna
do?
How
can
we
get
people
who
are
new
to
this
space
either
our
scientists
and
interested
in
to
say
or
more
likely
have
been
in
the
ipfas
sphere
for
some
time
want
to
better
understand
about
what
it
is
that
we're
so
excited
how
we
can
create
something
that
is
technical
but
also
like
gives
an
introduction,
and
our
answer
was
well.
B
If
you
want
to
get
a
bit
more
experimental
and
and
pin
stuff
to
ipfs
through
research
data
that
you
know
or
you
care
about,
I
would
love
to
help
you
with
that,
and
there
are
some
some
screenshots
in
the
slides
that
tell
you
how
to
you
know,
get
all
of
that
set
up,
and
then
you
can
go
one
one
up
and
you
can
actually
run
some
compute
over
data
and
you
can
use
buck.
Allow.
We
have
three
tutorials
that
we
set
up
with
varying
degrees
of
maturity
and
battle
testedness.
B
So
you
can
start
out
with
something
like
RNA
sequencing
using
salmon,
which
is
an
rnac
tool.
You
can
do
small
molecule
docking
and
you
can
do
image
analysis
or
image
preparation,
normalization
for
histology
images
and
then
last
but
not
least,
you
can
obviously
take
the
docker
container
of
your
choice
and
and
take
bakala
for
a
spin
and
yeah.
B
So
this
is
a
mirror
post
that
came
out
this
week.
That
sort
of
gives
you
or
your
colleagues
when
you're
like
traveling
back
home,
to
a
research
organization
that
you
know
you
can
share
that
with
them
like
okay.
Why
should
I
care
about?
Why
should
I
care
about
distributed
compute?
It
really
starts
with
the
installation
and
then
takes
you
through.
Like
the
first
couple
steps
of
an
rna-seq
analysis.
B
We
have
the
same
thing
for
docking
with
equibind,
something
that
we
do
within
lapdow,
that
maybe
you
find
cool
or
helpful
I'd
love
to
hear
some
feedback.
Actually
there
from
you
is
that
we
we
like
to
within
the
within
the
community,
you
can
collect
our
tooling,
so
here
you
can
see
basically
a
knowledge
graph
that
we
have
that
we
serve
for
the
whole
Community,
where,
where
people,
if
you,
if
we
onboard
a
new
application,
you
can,
you
can
actually
see
the
application.
You
get
an
information.
B
Okay,
this
is
the
input
data
that
it
needs.
This
is
what
it
puts
out.
This
is
where
I
can
learn
more
about
it.
There's
a
talk
by
the
author,
the
PDF,
GitHub
and
so
on,
and
so
also
feel
free
to
give
us
some
feedback
on
that
and
then
last
but
not
least,
we
have
one
more
the
histology
normalization,
one
that
one
actually
hasn't
been
fully
tested.
Yet
so,
if
you
find
a
bug,
there's
no
yeah,
those
are
the
three
applications.
This
is
a
quick
overview
slide
and
yeah.
B
A
So
we'll
just
take
20
or
30
minutes,
everybody
can
kind
of
group
together
if
there
are
certain
areas,
you're
interested,
please
add
that
to
the
dock
or
just
sort
of
raise
your
hand
and
we'll
find
some
Affiliates
that
might
be
interested
in
similar
areas
and
then
we'll
come
back
together
in
about
20
or
30
minutes
and
and
we'll
give
everybody
a
chance
to
present
a
little
bit
just
their
experience
around
the
data
they
uploaded
and
that'll
wrap
us
up
for
the
day.
All
right.
Thank
you
guys.
A
A
If
anybody
wants
to
raise
their
hand
if
they
were
actively
working
on
ipfs
or
uploading
any
data
and
they
wanna,
we
would
love
to
have
you
guys
come
up
if
you
wouldn't
mind
and
just
kind
of
just
share
us
what
you
were
trying
to
upload,
how
it
went
strength
or
things
you
like
things
that
were
challenging.
If
you
guys
want
to
just
come
up
we'll
we'll
give
you
guys
an
opportunity
to
share
with
the
the
crowd
how
it
went
or
if
you
don't
want
to
that's.
Okay,
too,.
C
Hi
guys,
no
definitely
we'll
just
try
out
to
make
the
exercise.
We
got
some
difficulties
to
address
to
to
fetch
the
docker
the
go
image,
it's
quite
heavy
and
we're
just
still
running
out
the
exercises.
That's
why
I
was,
but
it
is
dating
to
just
come
here,
but
definitely
we
are
going
to
make
the
exercise
in
our
company.
We
are
working
in
on
a
PFS
to
make
a
pinning
service,
and
maybe
something
more
later
and
but
by
myself.