Computational Biology

Bartsch, A., Llabres, S., Pein, F., Kattner, C., Schön, M., Diehn, M., Tanabe, M., Munk, A., Zachariae, U. & Steinem, C., 4 Feb 2019, In : Scientific Reports. 9, p. 1-11 11 p., 1264.

Research output: Contribution to journal › Article

Open Access

File

Porins

Electrophysiology

beta-Lactams

Anti-Bacterial Agents

Gram-Negative Bacteria

Detection and Mitigation of Spurious Antisense RNA-seq Reads with RoSA

Mourao, K., Schurch, N., Lukoszek, R., Froussios, K., Mackinnon, K., Duc, C., Simpson, G. & Barton, G., 26 Sep 2018, In : BioRxiv. 7 p.

Research output: Contribution to journal › Article

Antisense RNA

RNA

Gene Expression

Genes

Arabidopsis

8 Citations

Dynamically generated patterns in dense suspensions of active filaments

Kokkoorakunnel Ramankutty, P., Henkes, S. & Sknepnek, R., 12 Feb 2018, In : Physical Review E: Statistical, Nonlinear, and Soft Matter Physics. 97, 2

Research output: Contribution to journal › Article

Open Access

File

Filament

filaments

Active Particles

Langevin Dynamics

bundles

Datasets

High resolution imaging reveals heterogeneity in chromatin states between cells that is not inherited through cell division.

Owen-Hughes, T. (Creator), Dickerson, D. (Creator), University of Dundee, 2016

DOI: 10.17867/10000102, http://idr-demo.openmicroscopy.org/webclient/?show=project-151

Dataset

Prizes

Winner ISCB Art in Science Competition 2017

Christian Cole (Recipient) & Nicholas Schurch (Recipient), 25 Jul 2017

Prize: Prize (including medals and awards)

Computational

Bioinformatics

Art

Artwork

Computer Science

Activities 2018 2018

1 Festival/Exhibition

Colin Henderson (Participant), Frances Fuller-Pace (Participant), Gillian Smith (Participant), Francisco Inesta-Vaquera (Participant), Susan Bray (Participant), Norman Pratt (Participant), Rosamund Langston (Participant), Suzanne Duce (Participant), Hugh Nicholson (Participant)

8 Sep 2018

Activity: Participating in or organising an event types › Festival/Exhibition

Student theses

Computational Analysis of High-Replicate RNA-seq Data in Saccharomyces cerevisiae: Searching for New Genomic Features

Author: Copeland, N. G., 2018

Supervisor: Barton, G. (Supervisor), Schurch, N. (Supervisor) & Schofield, P. (Supervisor)

Student thesis: Doctoral Thesis › Doctor of Philosophy

File

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Profiles

Abbott, James

Barton, Geoffrey

Carstairs, Mungo

Projects 2012 2023

Unravelling the Barley Genetic Control of the Rhizosphere Microbiota

The Dundee Resource for Sequence Analysis and Structure Prediction

Diversifying Transcription Termination Function

Research Output 1987 2019

High-resolution experimental and computational electrophysiology reveals weak β-lactam binding events in the porin PorB

Detection and Mitigation of Spurious Antisense RNA-seq Reads with RoSA

Dynamically generated patterns in dense suspensions of active filaments

Datasets

High resolution imaging reveals heterogeneity in chromatin states between cells that is not inherited through cell division.

Prizes

Winner ISCB Art in Science Competition 2017

Activities 2018 2018

School of Medicine Open Day

Student theses

Computational Analysis of High-Replicate RNA-seq Data in Saccharomyces cerevisiae: Searching for New Genomic Features