Download Bioinformatics Data Skills: Reproducible and Robust Research by Vince Buffalo PDF

By Vince Buffalo

ISBN-10: 1449367372

ISBN-13: 9781449367374

This sensible booklet teaches the abilities that scientists want for turning huge sequencing datasets into reproducible and powerful organic findings. Many biologists start their bioinformatics education by way of studying scripting languages like Python and R along the Unix command line. yet there's an enormous hole among figuring out a number of programming languages and being ready to investigate quite a lot of organic data.
Rather than train bioinformatics as a collection of workflows which are prone to switch with this speedily evolving box, this publication demsonstrates the perform of bioinformatics via facts abilities. Rigorous overview of information caliber and of the effectiveness of instruments is the basis of reproducible and strong bioinformatics research. via open resource and freely to be had instruments, you'll research not just the best way to do bioinformatics, yet how one can process difficulties as a bioinformatician.
Go from dealing with small issues of messy scripts to tackling huge issues of shrewdpermanent equipment and tools
Focus on high-throughput (or "next generation") sequencing data
Learn info research with glossy tools, as opposed to overlaying older theoretical concepts
Understand tips to select and enforce the simplest instrument for the job
Delve into tools that result in more uncomplicated, extra reproducible, and strong bioinformatics research

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Read Online or Download Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools (1st Edition) PDF

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Additional resources for Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools (1st Edition)

Example text

Add a unitconvertor to a

element with an ID #first. 2. Add the possibility of converting from cubic feet to liters to the default conversion map. 3. And finally, add a unitconverter to a

element with an id #last. unitconverter(); [ 50 ] Creating a Simple Spreadsheet What just happened? The spreadsheet application served to the end user consists of two major parts, HTML to structure the spreadsheet and some JavaScript to provide interaction. We look at each of these in turn. HTML: keeping it simple The HTML we need for our spreadsheet is nearly identical to the one for the unit converter.

Next, it retrieves the currently selected units from both element. The content we retrieve of any element is always returned as a string, therefore we have to use the built-in JavaScript function parseFloat() to interpret it as a floating point number.

We have to store the result in global variables with the name of the cell as well to make it reusable by other cells. Note that these global variables are just attributes of the window object in the context of the browser so assigning a value to such an attribute is just what we do inside the if … else … clause.

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