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    <title>Dplyr on Chatomics</title>
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    <description>Recent content in Dplyr on Chatomics</description>
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    <copyright>&amp;copy; 2018 Ming &#39;Tommy&#39; Tang</copyright>
    <lastBuildDate>Tue, 02 Jan 2018 11:00:00 -0800</lastBuildDate>
    
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      <title>cancer gene census copy number</title>
      <link>https://divingintogeneticsandgenomics.com/archive/cancer-gene-census-copy-number/</link>
      <pubDate>Tue, 02 Jan 2018 11:00:00 -0800</pubDate>
      
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      <description>Ming Tang January 2, 2018 Set up knitr will force changing current working directory: https://philmikejones.wordpress.com/2015/05/20/set-root-directory-knitr/
https://github.com/yihui/knitr/issues/277
or use the ezkintr package https://deanattali.com/blog/ezknitr-package/
library(knitr) library(here)  ## here() starts at /Users/mtang1/projects/mixing_histology_lung_cancer  root.dir&amp;lt;- here() opts_knit$set(root.dir = root.dir)  read in the data I am going to check the COSMIC database on cancer genes. Specifically, I want to know which cancer-related genes are found amplified and which are deleted.
The data can be downloaded from http://cancer.</description>
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      <title>Weather and crimes in Chicago</title>
      <link>https://divingintogeneticsandgenomics.com/archive/weather-and-crimes-in-chicago/</link>
      <pubDate>Mon, 05 Jun 2017 18:45:00 -0700</pubDate>
      
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      <description>Weather and crimes in Chicago Ming Tang June 4, 2017 How the story starts I was attending 2017 American Society of Clinical Oncology (ASCO) annual meeting in Chicago. It was my first time to do a uber from the airport to our hotel. We had a nice uber driver and we talked a lot about the city. He said he grew up in the south part of Chicago and there are a lot of crimes there.</description>
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      <title>everyone will write a blog post on dplyr</title>
      <link>https://divingintogeneticsandgenomics.com/archive/everyone-will-write-a-blog-post-on-dplyr/</link>
      <pubDate>Fri, 26 Sep 2014 12:28:00 -0700</pubDate>
      
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      <description>dply is a nice R package to manipulate big data. There are several good tutorials I came across:
http://www.dataschool.io/dplyr-tutorial-for-faster-data-manipulation-in-r/
http://stat545-ubc.github.io/block009_dplyr-intro.html
http://stat545-ubc.github.io/bit001_dplyr-cheatsheet.html
http://gettinggeneticsdone.blogspot.com/2014/08/do-your-data-janitor-work-like-boss.html
I followed the example in the early edition of Bioinformatics Data Skills on the dplyr part and put a gist below. The example used dplyr to manipulate and summarize the human annotation gff file downloaded here http://useast.ensembl.org/info/data/ftp/index.html.
I downloaded the ensemble 74 build which is different from the 75 build in the example of the book.</description>
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