Maybe you’ve heard of the others. ABrowse. BBrowse. CBrowse. [you get the idea] GBrowse has been widely adopted. JBrowse is picking up steam. Into the orderly arrangement we now throw ZBrowse: a new way to look at genome-wide association study data.
Sharing and chatter about ZBrowse for viewing GWAS was abundant when the paper was published recently.
— PeerJ CompSci (@PeerJCompSci) 월 27, 2015
I could see the appeal immediately. One of the first things I check when exploring new software is the species range. 보기, I’m agnostic on species, and especially like to find tools that support a wide range of species. ZBrowse does this. Right in their paper they provide a chart comparing their features to other tools, and that tidbit jumped right out at me.
Although we usually like to highlight web-based tools, this one was really different and worth covering even though it requires you to do a bit more lifting on installing it. But they help with that, in their videos and instructions. And ultimately it runs in your browser, once you’ve got the right pieces in place. I was able to set it up and run it (after updating my R and RStudio).
I’m going to skip the installation and data loading videos for now, but you should go over and see them when you are ready to try it out. I’ll just give you a look at the features they show in their introductory video for the browser part. That will give you the best idea of why it’s worth trying it out.
It does require you to have 연구 설치, 및 RStudio. We’ve talked about both of those before, but if they are new to you, check’em out in these other Video Tips of the Week: R 통계 소프트웨어 소개, RStudio as an Interface for using R.
It comes loaded with some plant data, but you can use other data you have. It was very easy to look at the Manhattan plot view, and then focus on smaller chosen regions. I really liked how easy it was to see what’s in the neighborhood of a selected item when you turned to the annotation tab.
It might also be worth trying this out as a software delivery strategy–I was just reading about other folks who are offering tools that sit on top of R and RStudio this way (come back tomorrow for another example). People who want to offer you the chance to look over large data sets they are providing are considering this.
ZBrowse at Baxter Laboratory: http://www.baxterlab.org/#!/cqi0
준비된, 이메일. (2012) R로 시작하기.
라신 J.S. (2011). RStudio: R과 Sweave을위한 플랫폼 독립적 인 IDE, 응용 계량 경제학 저널, 27 (1) 167-172. 간접 자원부: http://dx.doi.org/10.1002/jae.1278
Ziegler, Greg R., Ryan H. Hartsock, and Ivan Baxter. “Zbrowse: an interactive GWAS results browser.” PeerJ Computer Science 1 (2015): e3. 간접 자원부: 10.7717/peerj-cs.3