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The Ohio Supercomputer Center (OSC) is experiencing an email delivery problem with several types of messages from MyOSC.
The Ohio Supercomputer Center (OSC) is experiencing an email delivery problem with several types of messages from MyOSC.
OSC is preparing to update Slurm on its production systems to version 23.11.4 on March, 27.
Search our client documentation below, optionally filtered by one or more systems.
OpenCV is an open-source library that includes several hundreds of computer vision algorithms.
In December 2021 OSC updated its firewall to enhance security. As a result, SSH sessions are being closed more quickly than they used to be. It is very easy to modify your SSH options in the client you use to connect to OSC to keep your connection open.
In ~/.ssh/config (use the command touch ~/.ssh/config
to create it if there is no exisitng one), you can set 3 options:
MotionCor2 uses multi-GPU acceleration to correct anisotropic cryo-electron microscopy images at the single pixel level across the whole frame, making it suitable for single particle and tomographic images. Iterative, patch-based motion detection is combined with spatial and temporal constraints and dose weighting.
The following versions are available on OSC clusters:
MyOSC now offers the ability for PIs to view the billing statements of current un-billed usage for their projects.
Login to my.osc.edu and navigate to Project -> Billing Statements.
There are two sections:
The current usage section provides information usage charges up to the current day.
/fs/ess/PDEXXXX
and /fs/scratch/PDEXXXX
directories.VisIt is an Open Source, interactive, scalable, visualization, animation and analysis tool for visualizing data defined on two- and three-dimensional structured and unstructured meshes.
HMMER is used for searching sequence databases for sequence homologs, and for making sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMS). HMMER is designed to detect remote homologs as sensitively as possible, relying on the strength of its underlying probability models.
AlphaFold is a software package that provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and pusblished in Nature.
The IPython kernel for a Conda/virtual environment must be installed on Jupyter prior to use. This tutorial will walk you though the installation and setup procedure.