bmill3r
Computational Biologist with experience in Spatial Transcriptomics and Cancer Epigenetics. Wet lab/molecular -> computational 🧬🧫🔬💻
Johns Hopkins UniveristyBaltimore, MD
Pinned Repositories
ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
ads1-slides
Slides for Algorithms for DNA Sequencing Coursera class
Bismark
A tool to map bisulfite converted sequence reads and determine cytosine methylation states
bmill3r.github.io
personal website 2.0
cmdb-bootcamp-homework
Homework for Comp. Bio. Bootcamp 9/2/14-9/5/14
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data_cv
Generate custom CV using R and CSS based on `datadrivencv`
EpiClass
Optimizing and predicting performance of DNA methylation biomarkers using sequence methylation density information.
MERINGUE
spatial gene expression analysis in non-homogenous tissues
STdeconvolve
Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data
bmill3r's Repositories
bmill3r/EpiClass
Optimizing and predicting performance of DNA methylation biomarkers using sequence methylation density information.
bmill3r/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
bmill3r/data_cv
Generate custom CV using R and CSS based on `datadrivencv`
bmill3r/ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
bmill3r/ads1-slides
Slides for Algorithms for DNA Sequencing Coursera class
bmill3r/Bismark
A tool to map bisulfite converted sequence reads and determine cytosine methylation states
bmill3r/bmill3r.github.io
personal website 2.0
bmill3r/cmdb-bootcamp-homework
Homework for Comp. Bio. Bootcamp 9/2/14-9/5/14
bmill3r/MERINGUE
spatial gene expression analysis in non-homogenous tissues
bmill3r/cwltool
Common Workflow Language reference implementation
bmill3r/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
bmill3r/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
bmill3r/flexible-jekyll
Flexible-Jekyll is a simple and clean theme for Jekyll
bmill3r/JaneliaMLCourse
Janelia machine learning course resources
bmill3r/JaneliaMLCourse-1
bmill3r/jean.fan
https://jean.fan
bmill3r/JEFworks.github.io
bmill3r/jekyll-theme-prologue
A Jekyll version of the "Prologue" theme by HTML5 UP
bmill3r/mac-dev-playbook
Basic web and app developer Mac setup in Ansible playbooks.
bmill3r/pyranges
(beta) Performant Pythonic GenomicRanges
bmill3r/veloviz
RNA-velocity informed embeddings for visualizing cellular trajectories
bmill3r/website_old
bmill3r/XPRESSpipe
An alignment and analysis pipeline for Ribosome Profiling and RNA-seq data
bmill3r/ZNF154_Manuscript
Code to reproduce manuscript figures