Search Results for "building"

BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.

... - to be as automatic as possible (i.e. the FusionCatcher will choose automatically the best parameters in order to find candidate fusion genes, e.g. finding automatically the adapters, building the exon-exon junctions automatically based on the length of the input reads, etc.) while providing the best possible detection rate for finding fusion genes.

LATEST VERSION NOW LOCATED AT http://git.durrantlab.com/jdurrant/lipidwrapper As ever larger and more complex biological systems are modeled in silico, approximating physiological lipid bilayers with simple planar models becomes increasingly unrealistic. When building large-scale models of whole subcellular environments, models of lipid membranes with carefully considered, biologically relevant curvature are essential. LipidWrapper, written by Jacob Durrant in the lab of Rommie E. Amaro, is capable of creating curved membrane models with geometries derived from various possible sources, both experimental and theoretical. ...

Mitomaker is a pipeline wrapper, result analyzer and automated annotator, written in Python v2.7, that, with the help of other programs, builds, analyzes, looks for the best build and annotates target genomes (such as mitochondria and cloroplast). It could be used with other targets, such as specific genes, or transcriptomes, even though that is not it's primary goal, nor thoroughly tested. After various attempts to build different mitochondrial genomes in the lab I studied, a general...

...This way users can start by examining the simplest version of the code and progress forward. This code is intended to be used as an educational tool, or as algorithmic code building blocks.

NetBuilder' is a tool for building, visualizing, and simulating multi-layered biological networks, structured as hierarchical Petri-nets. It has a built-in stochastic simulator, but also provides easy access to other simulation and analysis.

This project is started out of the idea to simulate simple creatures like game of live. The goal is to build up an multi processor/host environment to simulate the building of simple live in given world environments.