All Projects → qmarcou → IGoR

qmarcou / IGoR

Licence: GPL-3.0 license
IGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data. Find full documentation at:

Programming Languages

c
50402 projects - #5 most used programming language
C++
36643 projects - #6 most used programming language
perl
6916 projects
M4
1887 projects
shell
77523 projects
python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to IGoR

awesome-ml-demos-with-ios
The challenge projects for Inferencing machine learning models on iOS
Stars: ✭ 1,040 (+2376.19%)
Mutual labels:  inference
fastT5
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Stars: ✭ 421 (+902.38%)
Mutual labels:  inference
r2inference
RidgeRun Inference Framework
Stars: ✭ 22 (-47.62%)
Mutual labels:  inference
object-flaw-detector-cpp
Detect various irregularities of a product as it moves along a conveyor belt.
Stars: ✭ 19 (-54.76%)
Mutual labels:  inference
msisensor-pro
Microsatellite Instability (MSI) detection using high-throughput sequencing data.
Stars: ✭ 73 (+73.81%)
Mutual labels:  hypermutation
studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
Stars: ✭ 319 (+659.52%)
Mutual labels:  inference
Dawn Bench Entries
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
Stars: ✭ 254 (+504.76%)
Mutual labels:  inference
ims
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.
Stars: ✭ 509 (+1111.9%)
Mutual labels:  inference
inference-model-manager
Inference Model Manager for Kubernetes
Stars: ✭ 46 (+9.52%)
Mutual labels:  inference
tiny-schema-validator
JSON schema validator
Stars: ✭ 181 (+330.95%)
Mutual labels:  inference
dbnR
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
Stars: ✭ 33 (-21.43%)
Mutual labels:  inference
approxposterior
A Python package for approximate Bayesian inference and optimization using Gaussian processes
Stars: ✭ 36 (-14.29%)
Mutual labels:  inference
monai-deploy
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Stars: ✭ 56 (+33.33%)
Mutual labels:  inference
graphsignal
Graphsignal Python agent
Stars: ✭ 158 (+276.19%)
Mutual labels:  inference
chainer-fcis
[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 45 (+7.14%)
Mutual labels:  inference
CytoPy
A data-centric flow/mass cytometry automated analysis framework
Stars: ✭ 27 (-35.71%)
Mutual labels:  immunology
hypothesis
A Python toolkit for (simulation-based) inference and the mechanization of science.
Stars: ✭ 47 (+11.9%)
Mutual labels:  inference
Molecules Dataset Collection
Collection of data sets of molecules for a validation of properties inference
Stars: ✭ 69 (+64.29%)
Mutual labels:  inference
mlss-2016
MLSS 2016 material.
Stars: ✭ 22 (-47.62%)
Mutual labels:  inference
sagemaker-xgboost-container
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
Stars: ✭ 93 (+121.43%)
Mutual labels:  inference

IGoR: Inference and Generation Of Repertoires

This repository contains all sources and models useful to infer V(D)J recombination related processes for TCR or BCR sequencing data using IGoR.

IGoR’s exhaustive documentation can be found here!

Download the latest release here.

Quick summary

IGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data such as:

  • Recombination model probability distribution

  • Hypermutation model

  • Best candidates recombination scenarios

  • Generation probabilities of sequences (even hypermutated)

The following paper describes the methodology, performance tests and some new biological results obtained with IGoR:

High-throughput immune repertoire analysis with IGoR, Nature Communications, (2018) Quentin Marcou, Thierry Mora, Aleksandra M. Walczak

Its heavily object oriented and modular style was designed to ensure long term support and evolvability for new tasks in assessing TCR and BCR receptors features using modern parallel architectures.

IGoR is a free (as in freedom) software released under the GNU-GPLv3 license.

Version

./docs/asciidoc/version.adoc Download the latest release here.

Documentation

A comprehensive documentation of IGoR is available on the internet at: http://qmarcou.github.io/IGoR or in your local installation of IGoR as the ./docs/index.html file.

Contact

For any question or issue please open an issue or email us.

Copying

Free use of IGoR is granted under the terms of the GNU General Public License version 3 (GPLv3).

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].