Insert genes into genomes to aid synthetic test data generation
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Updated
Sep 5, 2019 - Perl
Insert genes into genomes to aid synthetic test data generation
Create indexes of simple shapes and find all indexed elements that intersect with a query region
Create a functional connectome from physical connections between cells
A sequence-read simulator program for NGS
In silico simulation between metfomin and oestrogen receptors (ERalpha and ERbeta) and androgen receptors (AR)
In-silico data generation package. Easy and consistent generation of example data for chemical/biochemical reaction case studies.
Code for our paper at SPIE Medical Imaging 2022: "Toward Perception-based Anticipation of Cortical Breach During K-wire Fixation of the Pelvis"
In silico identification of CDK1 inhibitors in colorectal cancer
In-silico PCR amplification on complete genomes
In silico therapeutic target discovery using network attractors: avoiding pathological phenotypes
Source code and data for reproducing "The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk".
Neuzy - Population-based Neuron Modelling
Génération de guides de cages moléculaires
Model 3 HH neurons connected in different motifs and different axonal delays. Compute synchronization between spikes and information flow between them.
PyPEF – Pythonic Protein Engineering Framework
In-silico PCR, primer design and padlock design for in-situ sequencing
⚛️📈 Create and analyze chemical microkinetic models built from computational chemistry data
PyPEF – Pythonic Protein Engineering Framework
[Mirror of https://gitlab.braingenix.org/carboncopies/] BrainGenix-NES is a cutting-edge simulation platform for whole brain emulation research and development that supports digitally replicating both form and function of brain tissue. Developed by the Carboncopies Foundation's BrainGenix initiative, it complements the Virtual Brain Platform (VBP).
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