HMMER
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.
Availability and Restrictions
Versions
HMMER is available on the OSC clusters. These are the versions currently available:
Ansys 2021R2 now available on Owens
Ansys version 2021R2 is now available on Owens cluster.
Rolling reboots on owens and pitzer starting 18 Aug 2021
Jupyter security issue Aug. 13, 2021
Backup failures on ess filesystem
JupyterLab 3.0 available on Owens and Pitzer
JupterLab 3.0 is now available on Owens and Pitzer through OnDemand Jupyter app.
HOWTO: Use a Conda/Virtual Environment With Jupyter
The IPython kernel for a Conda/virtual environment* must be installed on Jupyter prior to use.
Enable JupyterLab extensions
Extension feature is now enabled for JupyterLab 2.1 and 3.0. See HOWTO: Use Extensions with JupyterLab for more detail.