Archives de l’auteur : mrobinso

How should abundant gene expression data be presented?

Recently, it so happened that the example we had chosen to highlight our new Bgee gene page was also used as #Geneoftheweek by Ensembl. And Ensembl tweeted the expression of this gene, hemoglobin β (HBB), in ArrayExpress: Where is #Geneoftheweek, … Continuer la lecture

Publié dans bgee, bioinformatics | Marqué avec , , | Commentaires fermés sur How should abundant gene expression data be presented?

Computers, biology and 6 million Danes: medical patients have a history

This is a rough and fast translation from my French language outreach blog, following demand from a few colleagues on Twitter. Original here. Note that the original was intended for outreach, not communication to colleague bioinformaticians. But if bioinformaticians also … Continuer la lecture

Publié dans bioinformatics, translation from French | Commentaires fermés sur Computers, biology and 6 million Danes: medical patients have a history

Molecular Biology and Evolution impact factor: the MEGA effect Updated

Almost 2 years ago, I calculated how the very high impact factor of Molecular Biology and Evolution was entirely due to one paper, reporting the software MEGA: Molecular Biology and Evolution impact factor: the MEGA effect. A recent Twitter exchange … Continuer la lecture

Publié dans publishing, statistics | 2 commentaires

Exercice for Bachelor students on using #ENCODE data in a browser

Almost two months ago, I asked on Twitter: Does anyone know a good & free tutorial/exercice using #ENCODE data for undergrad biology students (they know R, not Unix)? #bioinformatics — Marc RobinsonRechavi (@marc_rr) March 3, 2014 To which I got … Continuer la lecture

Publié dans bioinformatics, genomics, training | Commentaires fermés sur Exercice for Bachelor students on using #ENCODE data in a browser

Student blogs from my graduate course « Blogging and using Twitter for scientific communication » @unil

I’m running a soft skills course for the PhD schools of Ecology and Evolution and of Genomics (StarOmics): Blogging and using Twitter for scientific communication. In the course of the class, I have asked the students to create a blog … Continuer la lecture

Publié dans training | Un commentaire

Scientific dogma: You keep using that word. I do not think it means what you think it means.

Reading a nice paper on human Y chromosomes (Poznik et al 2013), I was struck by the use of the word dogma at the end of the paper: Dogma has held that the common ancestor of human patrilineal lineages, popularly … Continuer la lecture

Publié dans fun | 2 commentaires

Story behind the paper: The hourglass and the early conservation models – co-existing evolutionary patterns in vertebrate development

Following the noble example of Jonathan Eisen, and in the spirit of open science, here is the story behind our recent paper (not so recent because I took time to getting around to this, but here it is): Piasecka B, … Continuer la lecture

Publié dans bioinformatics, evolution, genomics, story behind the paper | 3 commentaires

Molecular Biology and Evolution impact factor: the MEGA effect

(update March 2015 here) So yesterday come out the new impact factors for journals, and while all serious people agree most of the year that they don’t mean much, when they come out and your favorite journal went up you … Continuer la lecture

Publié dans publishing, statistics | Un commentaire

Don’t complain about NCBI taxonomy, improve it!

This morning I have learnt that NCBI taxonomy has added the term Dipnotetrapodomorpha, following a demand which I made four days ago on behalf of our database Bgee. More details on the Bgee blog. I would like to add a … Continuer la lecture

Publié dans bioinformatics, evolution | Marqué avec | Un commentaire

A population genetics test for Junk DNA

A short note after reading Dan Graur’s latest series of angry posts about the misuse of Junk DNA or of its death: one two three. Population genetics tells us that selection is more efficient in larger populations. Consequently, and on … Continuer la lecture

Publié dans evolution, genomics | Commentaires fermés sur A population genetics test for Junk DNA