sift
efficient 2D data-plotting library - Python 2
Install
- All systems
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curl cmd.cat/sift.sh
- Debian
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apt-get install python-guiqwt - Ubuntu
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apt-get install python-guiqwt - Kali Linux
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apt-get install python-guiqwt - Windows (WSL2)
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sudo apt-get updatesudo apt-get install python-guiqwt - OS X
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brew install sift - Raspbian
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apt-get install python-guiqwt - Dockerfile
- dockerfile.run/sift
python-guiqwt
efficient 2D data-plotting library - Python 2
The guiqwt Python library provides efficient 2D data-plotting features (curve/image visualization and related tools) for signal/image processing application development and interactive computing. It's based on the scientific modules NumPy and SciPy, and the PyQwt plotting widgets for PyQt4 graphical user interfaces. This is the Python 2 version of the package.
sift
predicts if a substitution in a protein has a phenotypic effect
SIFT is a sequence homology-based tool that sorts intolerant from tolerant amino acid substitutions and predicts whether an amino acid substitution in a protein will have a phenotypic effect. SIFT is based on the premise that protein evolution is correlated with protein function. Positions important for function should be conserved in an alignment of the protein family, whereas unimportant positions should appear diverse in an alignment.