The Leek group guide to genomics papers by Jeff Leek.
From the webpage:
When I was a student, my advisor John Storey made a list of papers for me to read on nights and weekends. That list was incredibly helpful for a couple of reasons.
- It got me caught up on the field of computational genomics
- It was expertly curated, so it filtered a lot of papers I didn’t need to read
- It gave me my first set of ideas to try to pursue as I was reading the papers
I have often thought I should make a similar list for folks who may want to work wtih me (or who want to learn about statistical genomics). So this is my attempt at that list. I’ve tried to separate the papers into categories and I’ve probably missed important papers. I’m happy to take suggestions for the list, but this is primarily designed for people in my group so I might be a little bit parsimonious.
…(reading list follows)
A very clever idea!
The value of such a list, when compared to the World Wide Web is that it is “curated.” Someone who knows the field has chosen and hopefully chosen well, from all the possible resources you could consult. By attending to those resources and not the page rank randomness of search results, you should get a more rounded view of a particular area.
I find such lists from time to time but they are often not maintained. Which seriously diminishes their value.
Perhaps the value-add proposition is shifting from making more data (read data, publications, discussion forums) available to filtering the sea of data into useful sized chunks. The user can always seek out more, but is enabled to start with a manageable and useful portion at first.
Hmmm, think of it as a navigational map, which lists longitude/latitude and major features. A that as you draw closer to any feature or upon request, can change its “resolution” to disclose more information about your present and impeding location.
For what area would you want to build such a navigational map?
I first saw this in a tweet by Christophe Lalanne