ErmineJ performs analyses of gene sets in high-throughput genomics data
such as gene expression profiling studies. A typical goal is to
determine whether particular biological pathways are "doing something
interesting" in an experiment that generates long lists of candidates.
The software is designed to be used by biologists with little or no
informatics background (but if you do, you might be interested in the
CLI or the R support).
When switching the build dependency from devel/gradle to devel/gradle6,
the build is accidentally broken. This attempts to revert part of the
change and fix build.
Fixes: 55044a2200
Approved by: lwhsu (mentor, implicit), portmgr (fix build)
When switching the build dependency from devel/gradle to devel/gradle6,
the build is accidentally broken. This attempts to revert part of the
change and fix build.
Fixes: 55044a2200
Approved by: lwhsu (mentor, implicit), portmgr (fix build)
devel/gradle needs to be updated to 7.x, while some ports build failed
under the newer version, including:
- biology/jalview
- biology/igv
Updated them to use this devel/gradle6 until they officially support 7.x.
No functional changes for these ports.
Approved by: lwhsu (mentor)
Unfortunately, this version of FAHClient is not able to daemonize
successfully anymore. Even though the --daemon flag is passed, FAHClient
does not detach from the controlling terminal. In addition to that it
does not go into background. The --log seems to be broken as well as
since all the logs are printed to the terminal instead of the log file.
In order to alleviate those problems, use daemon(8).
PR: 250463
Changes: https://foldingforum.org/viewtopic.php?t=36307
MMseqs2 (Many-against-Many sequence searching) is a software suite to search
and cluster huge protein and nucleotide sequence sets. MMseqs2 is open source
GPL-licensed software implemented in C++ for FreeBSD, Linux, MacOS, and (via
via cygwin) Windows. The software is designed to run on multiple cores and
servers and exhibits very good scalability. MMseqs2 can run 10000 times
faster than BLAST. At 100 times its speed it achieves almost the same
sensitivity. It can perform profile searches with the same sensitivity as
PSI-BLAST at over 400 times its speed.
Per discussion with bapt on helping pkg handle the changing of these
deps and avoiding impossible upgrade senarios.
PR: 246767
Reviewed by: manu, bapt
Approved by: x11
Differential Revision: https://reviews.freebsd.org/D30824
SRA tools is a toolkit for using data in the INSDC Sequence Read Archives.
SRAs operated by International Nucleotide Sequence Database Collaboration
houses sequence reads and alignments generated by "next-gen" sequencers.
This port is a bit convoluted due to the fact that the sra-tools build
requires access to the ncbi-vdb source tree. Hence, ncbi-vdb is treated
as a submodule here rather than a separate library port. We are working
with upstream with hope for long-term improvements.
Biostar-Tools is a metaport for installing all the tools necessary to work
through the Biostar Handbook, except for bedGrapToBigWig, which has license
restrictions. If you need bedGraphToBigWig, run
cd /usr/ports/biology/ucsc-userapps && make install clean
From [1]
* What is new in gsl-2.7:
* fixed doc bug for gsl_histogram_min_bin (lhcsky at 163.com)
* fixed bug #60335 (spmatrix test failure, J. Lamb)
* fixed bug #36577
* clarified documentation on interpolation accelerators (V. Krishnan)
* fixed bug #45521 (erroneous GSL_ERROR_NULL in ode-initval2, thanks to M. Sitte)
* fixed doc bug #59758
* fixed bug #58202 (rstat median for n=5)
* added support for native C complex number types in gsl_complex
when using a C11 compiler
* upgraded to autoconf 2.71, automake 1.16.3, libtool 2.4.6
* updated exponential fitting example for nonlinear least squares
* added banded LU decomposition and solver (gsl_linalg_LU_band)
* New functions added to the library:
- gsl_matrix_norm1
- gsl_spmatrix_norm1
- gsl_matrix_complex_conjtrans_memcpy
- gsl_linalg_QL: decomp, unpack
- gsl_linalg_complex_QR_* (thanks to Christian Krueger)
- gsl_vector_sum
- gsl_matrix_scale_rows
- gsl_matrix_scale_columns
- gsl_multilarge_linear_matrix_ptr
- gsl_multilarge_linear_rhs_ptr
- gsl_spmatrix_dense_add (renamed from gsl_spmatrix_add_to_dense)
- gsl_spmatrix_dense_sub
- gsl_linalg_cholesky_band: solvem, svxm, scale, scale_apply
- gsl_linalg_QR_UD: decomp, lssolve
- gsl_linalg_QR_UU: decomp, lssolve, QTvec
- gsl_linalg_QR_UZ: decomp
- gsl_multifit_linear_lcurvature
- gsl_spline2d_eval_extrap
* bug fix in checking vector lengths in gsl_vector_memcpy (dieggsy@pm.me)
* made gsl_sf_legendre_array_index() inline and documented
- gsl_sf_legendre_nlm()
[1] http://git.savannah.gnu.org/cgit/gsl.git/tree/NEWS
PR: 256423
Exp-run by: antoine
Classify ChIP/ATAC-Seq peaks based on features provided in a GFF
Peaks are provided in a BED file sorted by chromosome and position.
The GFF must be sorted by chromosome and position, with gene-level
features separated by ### tags and each gene organized into
subfeatures such as transcripts and exons. This is the default for
common data sources.
- Upgrade math/blas, math/cblas, math/lapack, math/lapacke and math/xlapack
to 3.9.1;
Latest release notes at <http://www.netlib.org/lapack/lapack-3.9.1.html>
- Chase this upgrade in biology/treekin;
- Add a test target;
- Remove a conflict with math/openblas (PR 244296);
- Fix the build with Gcc10 (PR 247485).
PR: 247542
Approved by: expr-run by antoine@
LLVM on powerpc doesn't have libomp.
Same issue happens on armv6 and armv7 but someone has to test whether doing the same for those architectures is enough.
