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Rakesh Ramachandran's Projects

deep-protein-structure-modeling icon deep-protein-structure-modeling

This repository is about prediction of tertiary structure of proteins from the primary structure of proteins (sequences of amino acids). So here, I'm trying to build a neural network that can input sequence of amino acids and output 3D structure of proteins (coordinates of major atoms in proteins that define the overall shape of the protein).

exospytosis icon exospytosis

2019 - Open source project designed during the QBI/UCSF Hackathon with the objective of building a computationally efficient way of tagging vesicles events.

hmrf-em-image icon hmrf-em-image

Hidden Markov Random Field Model and its Expectation-Maximization

hmrf-em-image_matlab icon hmrf-em-image_matlab

Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

impopenmm icon impopenmm

Experimenting with an interface to run OpenMM within IMP mainly to use OpenMM's MD engine

labmanual icon labmanual

Lab Manual for the Aly Lab at Columbia University

markov-random-field-project icon markov-random-field-project

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

mrf icon mrf

A Python implementation of Markov Random Field (MRF) for image segmentation

mrf2d icon mrf2d

An R package for analysis of Markov Random Fields on 2-dimensional lattices.

multislice icon multislice

Scripts for calculating simulated transmission electron microscopy images based upon PDB files

nbspike icon nbspike

Integrative modeling of nanobody binding modes to the SARS-CoV-2 Spike protein

openmm-cookbook icon openmm-cookbook

A collection of code snippets for doing molecular simulations with OpenMM.

python-machine-learning-fundamentals icon python-machine-learning-fundamentals

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

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