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Best practice variant calling pipeline for automated sequencing analysis SciPy 2013 Presentation

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Lessons List | 32 Lesson
A Gentle Introduction To Machine Learning SciPy 2013 Presentation
00:17:33

A Gentle Introduction To Machine Learning SciPy 2013 Presentation
Statistical Data Analysis in Python SciPy2013 Tutorial Part 1 of 4
01:11:27

Statistical Data Analysis in Python SciPy2013 Tutorial Part 1 of 4
Intro to scikit learn I SciPy2013 Tutorial Part 1 of 3
00:51:17

Intro to scikit learn I SciPy2013 Tutorial Part 1 of 3
Emacs org mode python in reproducible research SciPy 2013 Presentation
00:21:16

Emacs org mode python in reproducible research SciPy 2013 Presentation
Multidimensional Data Exploration with Glue SciPy 2013 Presentation
00:20:43

Multidimensional Data Exploration with Glue SciPy 2013 Presentation
SciPy 2013 Keynote IPython the method behind the madness
00:43:35

SciPy 2013 Keynote IPython the method behind the madness
Data Agnosticism Feature Engineering Without Domain Expertise SciPy 2013 Presentation
00:16:40

Data Agnosticism Feature Engineering Without Domain Expertise SciPy 2013 Presentation
Reproducible Documents with PythonTeX SciPy 2013 Presentation
00:21:00

Reproducible Documents with PythonTeX SciPy 2013 Presentation
Matplotlib past present and future SciPy 2013 Presentation
00:25:07

Matplotlib past present and future SciPy 2013 Presentation
Python Tools for Coding and Feature Learning SciPy 2013 Presentation
00:21:07

Python Tools for Coding and Feature Learning SciPy 2013 Presentation
SciPy 2013 Keynote Trends in Machine Learning and the SciPy community
00:43:50

SciPy 2013 Keynote Trends in Machine Learning and the SciPy community
The advantages of a scientific IDE SciPy 2013 Presentation
00:24:01

The advantages of a scientific IDE SciPy 2013 Presentation
Estimating and Visualizing the Inertia of the Human Body with Python SciPy 2013 Presentation
00:13:11

Estimating and Visualizing the Inertia of the Human Body with Python SciPy 2013 Presentation
Using Python for Structured Prediction SciPy 2013 Presentation
00:17:13

Using Python for Structured Prediction SciPy 2013 Presentation
MIST Micro Simulation Tool to Support Disease Modeling SciPy 2013 Presentation
00:11:18

MIST Micro Simulation Tool to Support Disease Modeling SciPy 2013 Presentation
Best practice variant calling pipeline for automated sequencing analysis SciPy 2013 Presentation
00:06:34

Best practice variant calling pipeline for automated sequencing analysis SciPy 2013 Presentation
SciPy 2013 John Hunter Excellence in Plotting Contest
00:31:34

SciPy 2013 John Hunter Excellence in Plotting Contest
A comprehensive look at representing physical quantities in Python SciPy 2013 Presentation
00:21:50

A comprehensive look at representing physical quantities in Python SciPy 2013 Presentation
SciPy 2013 Lightning Talks Thu June 27
00:39:18

SciPy 2013 Lightning Talks Thu June 27
Advances in delivery and access tools for coastal ocean model data SciPy 2013 Presentation
00:19:23

Advances in delivery and access tools for coastal ocean model data SciPy 2013 Presentation
Parallel Volume Rendering in yt User Driven User Developed SciPy 2013 Presentation
00:24:47

Parallel Volume Rendering in yt User Driven User Developed SciPy 2013 Presentation
A Portrait of One Scientist as a Graduate Student SciPy 2013 Presentation
00:23:40

A Portrait of One Scientist as a Graduate Student SciPy 2013 Presentation
SciPy 2013 Lightning Talks Wed June 26
00:38:11

SciPy 2013 Lightning Talks Wed June 26
Using Sumatra to Manage Numerical Simulations SciPy 2013 Presentation
00:23:17

Using Sumatra to Manage Numerical Simulations SciPy 2013 Presentation
LarvaMap A python powered larval transport modeling system SciPy 2013 Presentation
00:14:23

LarvaMap A python powered larval transport modeling system SciPy 2013 Presentation
Stuff to do with your genomic intervals SciPy 2013 Presentation
00:12:39

Stuff to do with your genomic intervals SciPy 2013 Presentation
GIS Panel Discussion SciPy 2013 Presentation
00:49:03

GIS Panel Discussion SciPy 2013 Presentation
High Performance Reproducible Computing SciPy 2013 Presentation
00:24:49

High Performance Reproducible Computing SciPy 2013 Presentation
Python and the SKA SciPy 2013 Presentation
00:18:34

Python and the SKA SciPy 2013 Presentation
lpEdit An editor to facilitate reproducible analysis SciPy 2013 Presentation
00:21:11

lpEdit An editor to facilitate reproducible analysis SciPy 2013 Presentation
SciPy 2013 Conference Welcome and Introduction
00:13:03

SciPy 2013 Conference Welcome and Introduction
The Production of a Multi Resolution Global Index for GIS SciPy 2013 Presentation
00:16:55

The Production of a Multi Resolution Global Index for GIS SciPy 2013 Presentation

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Course Description

Many scientific problems use statistical or Bayesian analysis tools to solve specific classes of problems. Although traditional usage was based on R programming, Python has become the de facto programming language for data scientists .
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