Salmon is a wicked-fast program to produce a highly-accurate,
transcript-level quantification estimates from RNA-seq data. Salmon
achieves is accuracy and speed via a number of different innovations,
including the use of quasi-mapping (accurate but fast-to-compute
proxies for traditional read alignments), and massively-parallel
stochastic collapsed variational inference. The result is a versatile
tool that fits nicely into many differnt pipelines.
Release numerous ports to ports@
I've been retired for a few years, and it is unlikely I will be doing
any more scientific computing support in the future. I have continued
to maintain ~160 ports to the best of my ability, mainly as a favor to
the community, but I can no longer justify the time and effort
required. I am therefore releasing most of my scientific ports, along
with a few others, to ports@. I will continue to maintain ports I am
actively using and those for which I am upstream.
all: drop support for FreeBSD 13, mips and risc64sf
Reviewed by: many (*)
Differential Revision: https://reviews.freebsd.org/D55624
Differential Revision: https://reviews.freebsd.org/D55642 (merged in from bofh)
many (*)
acm arrowd brooks cmt dch decke dinoex eduardo fluffy fuz gahr garga
jbeich joerg jrm kai kenrap martymac matthew mfechner michaelo mizhka
nobutaka pkubaj se tagattie thj
Anton Saietskii
GenericRikka
Gert Doering
Jan Bramkamp
Oleh Hushchenkov
Oleksandr Kryvulia
Ralf van der Enden
Yamagi
desktop kde python tcltk office
cleanup: remove occurrences of WITH_DEBUG
DEBUG like all ports features, must not ever be set in a port, they are
user facing features, that the user needs to enable in their
environment/make.conf, either by defining WITH_DEBUG globally, or by
setting WITH_DEBUG_PORTS with origin of ports they want DEBUG enabled
in.
biology/salmon: Transcript-level quantification of RNA-seq
Salmon is a wicked-fast program to produce a highly-accurate,
transcript-level quantification estimates from RNA-seq data. Salmon
achieves is accuracy and speed via a number of different innovations,
including the use of quasi-mapping (accurate but fast-to-compute
proxies for traditional read alignments), and massively-parallel
stochastic collapsed variational inference. The result is a versatile
tool that fits nicely into many differnt pipelines.
