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On the beauty and wonder of endless forms: a reflection on Embryology Course 2018

Posted by on August 16th, 2018

There is grandeur in this view of life, with its several powers, having been originally breathed a few forms or into one; and that, whilst this planet has gone cycling on according to the fixed law of gravity, from so simple a beginning endless forms most beautiful and most wonderful have been, and are being,[…]

Conference: Assisted Reproduction Technologies – long term perspectives

Posted by on August 9th, 2018

Dear Colleagues, We are delighted to invite you to attend the international conference: Assisted Reproduction Technologies – long term perspectives, that will take place in Auditorium Maximum of the Jagiellonian University in Cracow, September 7-8, 2018. The program of the conference will include invited lectures, presentations of the latest research, many constructive discussions to share[…]

Showing distributions

Posted by on August 6th, 2018

When reading about co-evolution of prey and predators, I stumbled across a cute new plot type: a half boxplot, half dot plot to show data distributions.   Wilson used this plot to simultaneously visualize summaries about their data (center, spread) and the actual data points. This allows us, the audience, to learn a lot about[…]

Life changing experiences with Embryos

Posted by on July 18th, 2018

It’s hard to describe with words how my experience has been at the Marine Biological Laboratory (MBL) in Woods Hole, Massachusetts, but I’m going to give it a try… My attendance at the 2018 Embryology course at the MBL, has been possible thanks to an award I won in my home country, during the International[…]

A day in the life of a Capitella teleta lab

Posted by on July 10th, 2018

It’s undoubtedly the middle of summer here in Saint Augustine, Florida. Daily temperatures are soaring into the 90s, and we’re grateful if the humidity dips below 70%. Thankfully, the Seaver lab doesn’t have to contend with much of this heat. Instead, our members are inside, comfortable though busier than ever, mentoring summer interns, piloting new[…]

Adult Neurogenesis 2018: Highlights -By Zubair Ahmed Nizamudeen

Posted by on June 29th, 2018

4WH Neurogenesis: What Where Why When and How? Neurogenesis is understood as the process by which neural stem cells (NSCs) produce new neurons. In the adult mammalian brain, this process is known to persist in two restricted locations- the dentate gyrus (DG) region of the hippocampus (see figure below) and the lateral walls of the[…]

Visualizing data with R/ggplot2 – One more time

Posted by on June 26th, 2018

Experiments are rarely performed in isolation. Usually, several conditions are compared in parallel or sequential experiments. This experimental strategy also applies to time-dependent data, e.g. from timelapse imaging. So, naturally, after I published a ‘walk-through for plotting temporal data using R and ggplot2, I was immediately asked how to plot two (or more) sets of[…]

10 PhD Positions at the CRC 1348 “Dynamic Cellular Interfaces: Formation and Function”, Münster, Germany

Posted by on June 11th, 2018

            The Collaborative Research Centre 1348 “Dynamic Cellular Interfaces: Formation and Function” at the University of Münster, Germany, invites applications for   10 PhD Positions (salary level E13 TV-L, 65%) Projects are available from the earliest possible date for three years. Currently, the regular full employment time is 39 hours[…]

Visualizing data with R/ggplot2 – It’s about time

Posted by on May 31st, 2018

The visualization of temporal data by line graphs has been documented and popularized by William Playfair in the 18th century (Aigner et al, 2011; Beniger and Robyn, 1978). Today, time-dependent changes are still depicted by line graphs and ideally accompanied by a measure of uncertainty (Marx, 2013). Below, I provide a ‘walk-through’ for generating such a[…]

Venn, Euler, upset: visualize overlaps in datasets

Posted by on May 25th, 2018

Visualizations for comparing datasets is a topic in all my data viz classes. Current solutions for comparing 2,3, 4 and more datasets are diverse and some are controversial. A one-fits-all solution does not exist, but there are well-working solutions, and some that should be avoided. 1-3 datasets Comparing two or three datasets works well in[…]