leiyp Goto Github PK

2brad_denovo

Genome-wide de novo genotyping with 2bRAD

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

bash-tap

A basic bash port of a Test::More/Test::Builder-style TAP-compliant test library.

bayesian-statistics

cache-the-inverse-of-a-matrix

cheatsheets

My cheatsheets

chip-seq-analysis

ChIP-seq analysis notes from Ming Tang

clusterprofiler

:bar_chart:statistical analysis and visualization of functional profiles for genes and gene clusters

cnvnator

conifer

CoNIFER (Copy Number Inference From Exome Reads) can discover CNVs from exome read-depth data. See Krumm et al., 2012 (Genome Research) for more information.

coursera

Quiz & Assignment of Coursera

data-duke-stats-r-capstone

The following files were submitted for Duke University's Statistics in R Capstone course hosted by Coursera

datasciencecoursera

for_data_science_tools

datasciencecoursera-1

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

datasciencecoursera-2

Coursera DataScience

datasharing

The Leek group guide to data sharing

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

dplyr

dplyr: A grammar of data manipulation

duke-capst-stat-r

Coursera Course Quiz & Project

genomic-data-science

Genomic data science specialization

introduction-to-rad

ml-class-assignments

Programming Exercises on http://ml-class.org

ml-coursera-stanford

Machine Learning by Stanford University. Programming assignments.

mm_dnm

Codes and notebooks for the Gleesonlab Meningomyelocele de novo mutation project

mosdepth

fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

octave

my octave exercises for 2011 stanford machine learning class, posted after the due date of course

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

pyflow-atacseq

ATAC-seq snakemake pipeline

r-notebooks

rna-seq-analysis

RNAseq analysis notes from Ming Tang