sift

efficient 2D data-plotting library - Python 2

Install

All systems
curl cmd.cat/sift.sh
Debian Debian
apt-get install python-guiqwt
Ubuntu
apt-get install python-guiqwt
image/svg+xml Kali Linux
apt-get install python-guiqwt
Windows (WSL2)
sudo apt-get update sudo apt-get install python-guiqwt
OS X
brew install sift
Raspbian
apt-get install python-guiqwt

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.