Pinned Repositories
adam
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
algs4
Princeton's COS226
AscatNgsUtils
Extract `logR` and `BAF` from BAM files.
fun
Ad-hoc fun projects whose state of doneness is likely in [0,1)
GraphicalModel
Courera Version of Graphical Model.. Cooperate with Jian Guo.
spark-timeseries
A library for financial and time series calculations on Apache Spark
stanford_corenlp_py
WholeCell
Mycoplasma genitalium whole-cell model
cohorts
Utilities for analyzing mutations and neoepitopes in patient cohorts
guacamole
Spark-based variant calling, with experimental support for multi-sample somatic calling (including RNA) and local assembly
e5c's Repositories
e5c/stanford_corenlp_py
e5c/spark-timeseries
A library for financial and time series calculations on Apache Spark
e5c/WholeCell
Mycoplasma genitalium whole-cell model
e5c/adam
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
e5c/algs4
Princeton's COS226
e5c/AscatNgsUtils
Extract `logR` and `BAF` from BAM files.
e5c/fun
Ad-hoc fun projects whose state of doneness is likely in [0,1)
e5c/GraphicalModel
Courera Version of Graphical Model.. Cooperate with Jian Guo.
e5c/guacamole
Simple Spark-based variant calling
e5c/inferelator_ng
Inferelator refactor and generalization.
e5c/instagram-news-cli
A quick and dirty hack to read you Instagram news feed from the command line
e5c/iphone-sms-backup
Backup your iPhone SMS text messages.
e5c/manspeak
e5c/opera_db
e5c/pgmpy
Python Library for Probabilistic Graphical Models
e5c/phylowgs
Application for inferring subclonal composition and evolution from whole-genome sequencing data.
e5c/probability_cheatsheet
A comprehensive 8-page probability cheatsheet that covers a semester's worth of introduction to probability.
e5c/pytcga
Store and query public TCGA data
e5c/reference-apps
Spark reference applications
e5c/scholar.py
A parser for Google Scholar, written in Python
e5c/scipy_proceedings
Tools used to generate the SciPy conference proceedings
e5c/secotrec
Setup Coclobas/Ketrew Clusters
e5c/splash
Splash Project for parallel stochastic learning
e5c/stancache
Filecache for stan models
e5c/stray
Multinomial Logistic-Normal Linear Regression Models
e5c/thresholdout
Mirror of the scripts for Dwork et al's paper on holdout reuse