About

I’m a genomics researcher who mainly uses R and Perl but since Perl isn’t hip anymore I’ve started to learn Python. This blog started off in 2010 as my online notebook while I was doing my PhD and still serves as my online notebook. Sometimes I write posts because I’ve been asked the same question several times and it’s easier to refer people to a tutorial and sometimes I just want to test new tools. In my posts, I try to make it as easy as possible to follow and don’t assume much computational background.

During the years, I have considered giving up blogging but several things have spurred me on. I get the occasional direct message that my blog has been useful and that’s very motivating! I still get a lot of traffic to my blog, so I’ll assume it’s still relevant. And finally, I actually like writing technical documents because it lets me delve into a problem/tool. Recently, I learned from a friend that my blog was included in the Top 75 bioinformatics blogs, which actually only goes up to 68, so the quality of the list is perhaps, questionable. That said, I’ll take any recognition I can get and present to you this shiny medal 🙂

If you are interested in any of the posts on this blog and/or have a question, just leave a comment or feel free to email me@davetang.org and I will try to answer as soon as possible. Or if you found a post useful and just wanted to let me know, feel free to email me as well. All comments are moderated and will only appear after approval. Due to the large amount of spam, I may miss genuine comments.

To date, I have around 1,000 comments on this blog, so even if Akismet classifies everything as spam, it is still over 99% accurate (it would have a 100% false positive rate though!).

Lastly, I’ve been using Twitter for a while now. I use it mainly for work purposes, e.g. posting new papers I’ve read, linking to bioinformatic resources, etc. and it has been great in terms of finding useful stuff. Give it a go!

about

Have fun,

Dave
5th June 2018

P.S. If you are interested in my C.V., you can find it on GitHub.

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