output
20052025
most citedAssemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

742 citations

Showing 2014Show all

6 papers · 1 filter

q-bio.MN2014★ 3 cited

Ligand-dependent opening of the multiple AMPA receptor conductance states: a concerted model

Ranjita Dutta Roy, Christian Rosenmund, Stuart J Edelstein +1

Modulation of the properties of AMPA receptors at the post-synaptic membrane is one of the main suggested mechanisms behind synaptic plasticity in the central nervous system of ver…

cs.DL2014★ 186 cited

One file to share them all: Using the COMBINE Archive and the OMEX format to share all information about a modeling project

Frank T. Bergmann, Richard Adams, Stuart Moodie +15

Background: With the ever increasing use of computational models in the biosciences, the need to share models and reproduce the results of published studies efficiently and easily…

q-bio.GN2014

Conservation and losses of avian non-coding RNA loci

Paul P. Gardner, Mario Fasold, Sarah W. Burge +6

Here we present the results of a large-scale bioinformatic annotation of non-coding RNA loci in 48 avian genomes. Our approach uses probabilistic models of hand-curated families fr…

q-bio.MN2014★ 35 cited

Modulation of calmodulin lobes by different targets: an allosteric model with hemiconcerted conformational transitions

Massimo Lai, Denis Brun, Stuart J Edelstein +1

Calmodulin, the ubiquitous calcium-activated second messenger in eukaryotes, is an extremely versatile molecule involved in many biological processes: muscular contraction, synapti…

stat.ME2014★ 10 cited

Testing the Mean Matrix in High-Dimensional Transposable Data

Anestis Touloumis, Simon Tavaré, John C. Marioni

The structural information in high-dimensional transposable data allows us to write the data recorded for each subject in a matrix such that both the rows and the columns correspon…

q-bio.QM2014★ 18 cited

Toward computational cumulative biology by combining models of biological datasets

Ali Faisal, Jaakko Peltonen, Elisabeth Georgii +2

A main challenge of data-driven sciences is how to make maximal use of the progressively expanding databases of experimental datasets in order to keep research cumulative. We intro…