1,721,015 research outputs found
salilab/rmf: RMF 1.6.0 release
No full text<ul>
<li>RPM packages for RMF for RedHat Linux (and clones such as Alma or Rocky) and for Fedora are now provided by the <a href="https://copr.fedorainfracloud.org/coprs/salilab/salilab/">COPR project</a>.</li>
<li>RMF::decorator::Chain can now store a per-chain sequence offset and UniProt accession. The offset, which defaults to zero, maps from the sequence index (which always starts at 1) to the residue index (which may not).</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/salilab/rmf/compare/1.5.1...1.6.0</p>
salilab/rmf_chimerax: rmf_chimerax 0.2 release
No full textImproved support for RMF files containing atomic information.
Add basic visualization of RMF geometry, such as bounding boxes.
Add an rmf hierarchy command to show the RMF hierarchy in the log.
Add an rmf chains command to show the RMF name for each chain.
Add an RMF Viewer tool to allow the RMF hierarchy to be explored
salilab/rmf_chimerax: rmf_chimerax 0.12 release
No full textUpdate bundled copy of RMF to latest version, 1.4.1.
Support Apple Silicon (arm64/M1) by adding a universal Mac bundle
salilab/imp: IMP 2.13.0 release
No full textThis is a major update release, which switches Ubuntu packages to use Python 3 by default (and adds support for Ubuntu 20.04 LTS, Focal Fossa), adds a new IMP::sampcon module for analysis (to estimate the highest precision at which the sampling is exhaustive), expands the data stored in RMF files, and improves IMP::pmi support for RNA/DNA. See the full change log for more details.
Pre-built binary packages for Linux, Windows and Mac are available at the IMP website. IMP can also be installed using Homebrew or Anaconda Python; install instructions are at the same location
salilab/imp: IMP 2.17.0 release
No full textThis is a minor update and bugfix release, with a number of performance improvements and support for newer C++ standards. We also now provide packages for Ubuntu 22.04 LTS (Jammy Jellyfish) and RedHat Enterprise Linux 9 (and variants, such as Rocky or Alma). See the full change log for more details.
Pre-built binary packages for Linux, Windows and Mac are available at the IMP website. IMP can also be installed using Homebrew or Anaconda Python; install instructions are at the same location
salilab/imp: IMP 2.11.1 release
No full text<p>This is a bugfix release, which fixes some issues with the build system, failures to read RMF files, and cloning of molecular hierarchies. See the <a href="https://integrativemodeling.org/2.11.1/doc/manual/changelog.html">full change log</a> for more details.</p>
<p>Pre-built binary packages for Linux, Windows and Mac are available at the <a href="https://integrativemodeling.org/download.html">IMP website</a>. IMP can also be installed using <a href="https://brew.sh">Homebrew</a> or <a href="https://www.continuum.io/downloads">Anaconda Python</a>; install instructions are at <a href="https://integrativemodeling.org/download.html">the same location</a>.</p>
salilab/imp_deposition_tutorial: 0.2 release
No full text<p>This fixes a minor issue with displaying the final structure (including localization densities) in ChimeraX.</p>
salilab/imp_deposition_tutorial: 0.1 release
No full text<p>This is the first complete version of the tutorial which should work with the latest IMP nightly build.</p>
salilab/rmf: RMF 1.2 release
No full textA new category of decorators 'provenance' allows information about how the structure was generated to be added to the file.
The new RMF::decorator::Reference decorator allows for a node to mark another node as its reference.
The new RMF::decorator::ExplicitResolution decorator allows attaching an explicitly-set resolution to a node. (This allows such values from IMP to be accurately stored in the file.
salilab/imp: IMP 2.14.0 release
No full textThis is a minor update and bugfix release, which overhauls the IMP::kinematics and IMP::parallel modules, and adds support for Python 3.9. See the full change log for more details.
Pre-built binary packages for Linux, Windows and Mac are available at the IMP website. IMP can also be installed using Homebrew or Anaconda Python; install instructions are at the same location
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