101 questions with a bioinformatician #36: Alicia Oshlack

This post is part of a series that interviews some notable bioinformaticians to get their views on various aspects of bioinformatics research. Hopefully these answers will prove useful to others in the field, especially to those who are just starting their bioinformatics careers.

Alicia Oshlack is the Head of Bioinformatics at the Murdoch Childrens Research Institute (they don't like apostrophes) in Melbourne, Australia. Her research focuses on four main project areas: methods for analysing RNA-seq data, epigenomics, clinical genomics data analysis, and cancer genomics.

Before moving into the field of genomics, Alicia had a background in astronomy and her Ph.D. work concerned the structure of radio quasars. Not many bioinformaticians can claim to have published papers on the topic of estimating the mass of black holes!

You can find out more about Alicia by reading her Wikipedia page or by following her on twitter (@AliciaOshlack). I also encourage you to check out her must read article for fellow computational biologists: A 10-step guide to party conversation for bioinformaticians. And now, on to the 101 questions...



001. What's something that you enjoy about current bioinformatics research?

I love the pace at which things are changing in the field. There is always something new to work on and there are so many ways to contribute something useful to the research community. I also really love the balance between collaborative analysis on really interesting biological problems and doing careful methods development.



010. What's something that you don't enjoy about current bioinformatics research?

I get frustrated that I need to spend so much of my time convincing people that bioinformatics is a real scientific research discipline where we have deep scientific training and use our brains to solve scientific problems. Hopefully I will have convinced everyone in Australia soon.



011. If you could go back in time and visit yourself as a 18 year old, what single piece of advice would you give yourself to help your future bioinformatics career?

I did my PhD in astrophysics and I often wonder if I would have been better off doing a more relevant subject but I really appreciate the skills I learnt doing that. Within this I probably would tell myself to put a bit more focus on programming and do statistics instead of applied mathematics.



100. What's your all-time favorite piece of bioinformatics software, and why?

I think limma is amazing. Have you seen the users guide? I think it's 145 pages long and although it was originally developed for microarray analysis more than 12 years ago it has adapted to the sequencing revolution and is used more than ever now. I believe it is the most widely used bioconductor analysis package ever.



101. IUPAC describes a set of 18 single-character nucleotide codes that can represent a DNA base: which one best reflects your personality, and why?

I think S = G/C because I'm always a little bit biased.

Beautiful logo redesign as part of the rebranding of Crossref

Crossref — the non-profit organization that helps make academic content easier to find, link, cite and assess — has today announced a rebranding. They will be announcing new names and new logos for all of their products, and the Crossref logo itself gains a beautiful looking new design. So we say 'goodbye' to this:

 

And 'hello' to this lovely logo:

 

The explanation for why they wanted to change the logo makes a lot of sense to me:

We needed an icon to give more flexibility across the web that a word mark cannot do alone. The icon is made up of two interlinked angle brackets familiar to those who work with metadata, and can also act as arrows depicting Metadata In and Metadata Out, two themes under which our services can generally be grouped.

As part of this rebranding, they are formalizing a change from CrossRef to Crossref (with lower case 'R'). Someone had a fun job updating their Wikipedia page:

Wikipedia edit history: CrossRef > Crossref. Click to enlarge.

Assemble a genome and evaluate the result [Link] →

There is a new page on the bioboxes site (such a great name!) which details how bioboxes can be used to assemble a genome and then evaluate the results:

A common task in genomics is to assemble a FASTQ file of reads into a genome assembly and followed by evaluating the quality of this assembly. This recipe will explore using bioboxes to do this task.

A third Assemblathon contest came very close to launching earlier this year…except that it didn't — maybe this will be the subject of a future blog post! — and we planned to make biobox containers a requisite part of submitting assemblies. If Assemblathon 3 ever gets off the ground I feel happier knowing that the bioboxes team is doing so much great work that will make running such a contest easier to manage.

Time to toggle the JABBA-award status of this bioinformatics software name

Give me a B.
Give me a O.
Give me a G.
Give me a U.
Give me a S.

What have you got?

Another BOGUS bioinformatics acronym! This time it is courtesy of the journal BMC Bioinformatics:

I think you can already see why this one is going to win a JABBA award. The name 'TOGGLE' derives from TOolbox for Generic nGs anaLysEs. Using their same strategy, they could have also gone for BOGGLE, BONNY, or even BORINGLY.