I have to get up at 4am tomorrow to get on the train for this symposium in Copenhagen. I so do not want to get up that early…
It looks like a very interesting meeting, judging from the program, and I do not want to miss it. I even had to cancel a talk I was going to give at CLC Bio myself to get there, but when I saw how early I had to get up to get there, I considered staying away…
I hate getting up early. I’ve gotten used to getting up around 6 am — otherwise I simply cannot manage to do all the things I plan for the day — but since I never manage to get to bed before midnight, four in the morning is a bit scary.
I wonder if my alarm clock will even allow me to set such an early time for the wake up time?
How do you calibrate the molecular clock — where you need a few known sequence divergence times — when you only know a few speciation times?
Yesterday at a meeting (I’m not sure I can tell you which meeting; I’m not sure how open it is supposed to be :-/) we discussed the divergence time of human-orangutan and human-macaque. We need the sequence divergence time to calibrate a CoalHMM model for figuring out some speciation and population genetics parameters of ancestral species.
No definitive answer came up at the meeting, but there was a short discussion by email after the meeting. This paper was sent around, where the divergence times were estimated to 25MYA and 13MYA, respectively, although the last of those numbers is actually the calibration point used in the analysis, so it is an assumption more than an estimate.
The problem is, the 13MYA used for the calibration is based on fossil evidence, and as far as I can see, that would make it an estimate for the speciation time between human and orangutan. We need the sequence divergence time. Speciation time and divergence time can vary with millions of years (if the effective population size is large enough).
If 13MYA is the divergence time between human and orangutan, we get a speciation time that is unrealistically recent. If the divergence time is 18MYA instead, as we assumed in this paper, we would get a speciation time around 12MYA which would match the MBE paper.
But how do you figure out the divergence time needed to calibrate the clock? Is there any way to get it, rather than the speciation time, from fossil evidence?
For our purposes, I suppose we can just as well work with speciation times for our calibration, but not everyone is using CoalHMMs for their analysis, so how do you deal with this problem?
On a day when I am feeling increasingly dismal about the publication prospects of my current project, my mood was not lightened with the arrival of the table of contents for the current issue of a very high impact journal (say, cell/nature/science). One of the papers was right up my research alley and the lead author is someone junior to me. Why is it that the other guy is getting a very high profile paper and I’m struggling to get results that will merit publication at all?
I did my PhD in theoretical computer science, where high impact papers (high impact outside your own field, that is) are few and far between, and I didn’t really expect to write high impact papers then.
Now I’m doing bioinformatics, and that is a hot field, so now I do want to, but I am not particularly successful. There’s a few that have received some interest, in particularly this one about the speciation of humans, but I wasn’t the first author on that.
Lately, I do not seem to manage to be first author on any paper…
I’m in the weird situation where I am not senior enough to be last author on any paper, but I am spending too much time on too many different projects that I can focus enough on a single project to expect to be first author on a paper.
I feel like I’ve substituted quantity of publications for quality. Of course, I have no one to blame but myself, so I just need to change my working habits, I guess. Spending too much time blogging probably doesn’t help either.
Great, now I’m depressed. What a way to start the day… Oh well, I’ll head to the office to get some work done, that should cheer me up!