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Showing 3 open source projects for "generate"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Visualization of Protein-Ligand Graphs
Compute protein graphs. Moved to https://github.com/MolBIFFM/PTGLtools
NOTE: Project moved to https://github.com/MolBIFFM/PTGLtools. The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/ -
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MOLGENIS can be used to generate databases for life science experiments (micrroarray, mass spectrometry, genomics) having a web user interface, csv exchange format, and programmatic interfaces (web services, rest, and r-project). See NatRevGen 8.
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The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.
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