Chuck Herring's starred repositories

numpy-intro-blogarticle-2020

Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article

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pCreode

An algorithm for mapping cell state transitions.

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SEACells

SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data

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ffq

A tool to find sequencing data and metadata from public databases.

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densvis

Density-preserving data visualization tools den-SNE and densMAP

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Glimma

Glimma R package

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awesome-atac-analysis

Links to ATAC-seq analysis tools

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scrublet

Detect doublets in single-cell RNA-seq data

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SingleCellThoughts

Assorted thoughts, explanations and justifications for code in the scran package and the simpleSingleCell workflow.

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CellBender

CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.

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biomartpy

Simple interface to BioMart (Python -> rpy2 -> R/BioConductor's biomaRt)

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MACS

MACS -- Model-based Analysis of ChIP-Seq

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Scasat

Scasat is a single cell ATAC-seq preprocessing and analysis pipeline

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scanpy

Single-cell analysis in Python. Scales to >1M cells.

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HVGDetection2018

Justification for the variance modelling and HVG detection methods in scran.

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the-art-of-command-line

Master the command line, in one page

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single-cell-bioinformatics

Course material in notebook format for learning about single cell bioinformatics methods

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forceatlas2

Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX

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force-directed-layout-algorithms

Force directed layout algorithms for Python

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numexpr

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

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