Pinned Repositories
embed_fast5
Embed fast5 signal files with a correctly formatted kmer to event alignment given the nucleotide sequence and a model file
functional_model_analysis
Information and scripts for functional analysis of kmer models
nanopolish
Signal-level algorithms for MinION data
nanoraw
Genome guided re-segmention and visualization for raw nanopore sequencing data.
py3helpers
General python functions and classes which could be used across multiple projects.
rna_modification_detection
rna_modification_detection
Robinhood2Quicken
Grab Robinhood transactions and convert into format Quicken can import
yeast_rrna_modification_detection
nanopore-RNN
Collaboration repository with Nanopore Group
signalAlign
HMM-HDP models for MinION signal alignments
adbailey4's Repositories
adbailey4/nanopolish
Signal-level algorithms for MinION data
adbailey4/functional_model_analysis
Information and scripts for functional analysis of kmer models
adbailey4/embed_fast5
Embed fast5 signal files with a correctly formatted kmer to event alignment given the nucleotide sequence and a model file
adbailey4/yeast_rrna_modification_detection
adbailey4/rna_modification_detection
rna_modification_detection
adbailey4/Robinhood2Quicken
Grab Robinhood transactions and convert into format Quicken can import
adbailey4/rrna_analysis
adbailey4/rrna_scripts
Scripts to run analysis of rRNA data
adbailey4/textGAN
GAN to create text data
adbailey4/py3helpers
General python functions and classes which could be used across multiple projects.
adbailey4/adbailey4
Config files for my GitHub profile.
adbailey4/adbailey4.github.io
adbailey4/Assembly
adbailey4/banded_alignment
Wrap the banded semi-global alignment library libgaba into python
adbailey4/base_images
adbailey4/BaseTensor
Tensorflow helper functions and abstract classes with easy hooks and model development
adbailey4/bioinformatics_contest
adbailey4/chiron
adbailey4/DeepMod
DeepMod: a deep-learning tool for genomic-scale, strand-sensitive and single-nucleotide based detection of DNA modifications
adbailey4/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
adbailey4/MNIST_classification
MNIST Classification via Tensorflow
adbailey4/modification_detection_pipeline
Location for scripts dealing with the flow of data through nucleotide modification detection software
adbailey4/nanonet
First generation RNN basecaller
adbailey4/protobuf
Protocol Buffers - Google's data interchange format
adbailey4/read_clustering
Cluster variant called reads in order to determine the number and quantity of modification profiles
adbailey4/ReinforcementLearningHomework
Answers to problems in Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto, 2nd Edition.
adbailey4/Robinhood
Python Framework to make trades with Robinhood Private API
adbailey4/sa_variant_calling_testing
adbailey4/tombo_supplemental
supplemental data to Gaussian mixture model-based unsupervised nucleotide modification number detection using nanopore-sequencing readouts
adbailey4/yeast_data_submission