Marking the 10 th anniversary of the formulation of the FAIR principles, we have one of our GigaBlog Q&A’s with Peter-Bram ’t Hoen, Alain van Gool, Anna Niehues and Casper de Visser from the Netherlands X-omics Initiative and Radboud University Medical Center in Nijmegen, authors of a new paper on publishing FAIR workflows.
It was my freshman year, 1991. I was enthusiastic to finally be learning about biology, after being forced to waste a year in the German army’s compulsory service at the time. Little did I know that it was the same year a research paper was published that would guide the direction of my career to this day, more than 30 years later. Many of the links in this post will go to old web pages I created while learning about this research.
We’ve been studying how rodent communities change through time in the Arizona desert for 40 years. About once a decade we see a rapid change. Is the next one about to happen? It might be!
After posting yesterday that we were ramping up the blog again, my RSS feed let me know that arguably the most impactful ecology blog of all time, Dynamic Ecology, was doing the same thing! We also heard from Terry McGlynn who has recently moved and renamed his really important blog, now a newsletter named Science For Everyone. And we heard from multiple other folks that they are in the process of spinning up new blogs/newsletters.
We started Jabberwocky Ecology back in 2008 when blogs were becoming the dominant medium for informal (online) academic discussions. About the same time a handful of other ecology blogs got going and for a while the academic “blogosphere” was the hub for the sorts of things we now often talk about on other social media platforms.
Sourcely, an AI company, promises to streamline research by finding, summarizing, and adding credible sources in minutes. While this sounds appealing, skepticism arises as using such a tool may prioritize citing over genuine research. Initial tests revealed limited functionality, leaving doubts about its practical value in the research process.
I am having some fun running AlphaPulldown on a computing cluster. A requirement is to have input sequences in FASTA format. I found that I needed to get ~600 sequences. I had a list of the relevant Uniprot IDs. Surely getting the sequences for these proteins should be straightforward? Solution The Uniprot IDs can be converted – using the ID Mapping Tool on the Uniprot website – into any number of other IDs.
The year is 1959. Eisenhower is on his second term, Castro just kicked Batista out of the country and Ray Charles’s Let the Good Times Roll is topping the charts.
There is a plethora of articles and predictions about the future development of AI. Reading through them suggests three main areas of high-impact changes that would transform our daily lives: Healthcare, Automation, and Manufacturing. The impact of AI in these industries is profound and multifaceted, with each sector experiencing unique transformations. Some of these ideas are described in this NVIDIA article by Cliff Edwards.
Bands have been known to declare “No Synths!” on their albums. This statement was a badge of pride indicating that the artists hadn’t used any modern trickery in their recordings. Today, the growing use of artificial intelligence (AI) and large language models (LLMs) in science has created a similar scenario. Advocates argue that these tools improve every aspect of science, including the publication process.