Gunjan Dixit's repositories

oshlack.github.io

Oshlack Lab website

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training-collection

Collection of bioinformatics training materials

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deeplearning-biology

A list of deep learning implementations in biology

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ATACseq

Analysis Workflow for Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq)

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tutorial_dl_for_genomics

A short tutorial to using DL and keras for genomics with sequence data.

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scATAC-benchmarking

Benchmarking computational single cell ATAC-seq methods

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FIDDLE

Flexible Integration of Data with Deep LEarning

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dragonn

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

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cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

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tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

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FactorNet

A deep learning package for predicting TF binding

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tidy2019

Tidyverse workshop at BioinfoSummer 2019

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dropEst

Pipeline for initial analysis of droplet-based single-cell RNA-seq data

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BUS_notebooks_R

R vignettes for processing BUS format single-cell RNA-seq files

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docker-cheat-sheet

Docker Cheat Sheet

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r4ds

R for data science

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conquer_comparison

Code for evaluation of differential expression methods in single-cell RNA-seq data

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r-docker-tutorial

A docker tutorial for reproducible research

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bioinf545

ATAC-seq lab for BIOINF545

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DEA.R

Script to automate differential expression analysis using DESeq2, edgeR or limma-voom

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DeepNuc

Convolutional Neural Networks (CNN) for nucleotide sequences implemented in Tensorflow

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msmbuilder

Statistical models for biomolecular dynamics

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chipSeqTutorial

Tutorial on how to use MACS2 to explore ChIP-Seq data.

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rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

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DeepLearningImplementations

Implementation of some deep learning models

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