Cedric Notredame, a group leader at the CRG, tells us in his “Slow bioinformatics blog” his personal and interesting story behind the development of T-coffee, a method for multiple sequence alignment which he developed during his PhD and which is currently widely used.
“For those who have no clue what T-Coffee does, it is a multiple sequence aligner. It means that it takes a bunch of biological sequences – typically proteins – that have evolved from a common ancestor by accumulating mutations, insertions and deletions…”
If you want to know the real story behind the T-coffee success, read Notredame’s blog here!
The World Antibiotic Awareness Week took place last 14-20 November, and the Antibiotic Resistance Initiative ISGlobal team took the chance to explain to the world what are the main difficulties on the fight against antibiotic resistance – a serious problem that threatens our ability to treat infectious diseases and poses a serious risk to the progress made in global health in the past decades. They summarise the issues in four battlefronts:
1- New antibiotics
3- Mechanisms of antibiotic resistance
You can read the whole report here.
The González lab at the Institute of Evolutionary Biology (CSIC-UPF), which focuses on understanding how organisms adapt to the environment, is seeking a lab technician to join their research team. You can read more about this position – with a starting date around February 2017 – here.
You can read a bit about the lab’s citizen science project “Melanogaster: Catch the fly!” in this post.
And here you can see a post about a recent publication of the lab where they discovered several naturally occurring independent transposable element insertions in the promoter region of a cold-stress response gene in the fruitfly Drosophila melanogaster.
Ribosome profiling is a sequencing technique that detects regions in mRNAs that are being translated. Using this technique, researchers have observed mysterious patterns of translation in many transcripts believed to be non-coding (lncRNAs, or long non-coding RNAs). The patterns are very similar to those observed in protein-coding genes but the translated proteins are generally smaller. Aside from their sequence, we know nothing about these peptides. Are they functional? Do they reflect some background noise of the translation machinery?