SMeagol

Simulated single molecule microscopy.

Brought to you by: bmelinden

Downloads: 2 This Week

Last Update: 2016-08-26

Get an email when there's a new version of SMeagol

SMeagol is a software suite for simulation of live cell single molecule microscopy, mainly aimed at single particle tracking applications. The code uses a combination of Matlab and compiled C++ executables, and runs on linux, windows and mac. Installation instructions, system requirements, and many more details can be found in the manual.

If you use SMeagol for in your research, please cite
Lindén, M., V. Ćurić, A. Boucharin, D. Fange, and J. Elf. Simulated single molecule microscopy with SMeagol. Bioinformatics. 32: 2394-2395 (2016).
Full text at http://dx.doi.org/10.1093/bioinformatics/btw109 (open access) or http://arxiv.org/abs/1509.04031 (pre-print).

Project Activity

See All Activity >

Follow SMeagol

SMeagol Web Site

Other Useful Business Software

Go from Code to Production URL in Seconds Icon

Go from Code to Production URL in Seconds

Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.

Try it free

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of SMeagol!

Additional Project Details

Registered

2015-03-05

Report inappropriate content

Go from Code to Production URL in Seconds

Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.

Try it free

Recommended Projects

vbSPT
variational Bayes single particle tracking
VividSTORM
Correlated confocal and SMLM data visualization and analysis
Gwyddion
Scanning probe microscopy data visualisation and analysis
Lep-MAP3
Lep-MAP3 is a novel and free software for linkage mapping. It can construct linkage maps on very large number of markers and individuals on single or multiple families. Especially, it supports whole genome sequencing data even with low sequencing depth. If you use Lep-MAP3, please cite P. Rastas. Lep-MAP3: Robust linkage mapping even for low-coverage whole genome sequencing data, Bioinformatics. 2017, 33(23):3726-3732. https://doi.org/10.1093/bioinformatics/btx494. Please note Lep-Anchor for anchoring genomes with Lep-MAP3 linkage maps http://sourceforge.net/projects/lep-anchor
birgHPC
birgHPC is a Linux Live CD distribution based on PelicanHPC and Debian Live. birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics. If you are looking for CUDA support, try birgHPCC (https://sourceforge.net/projects/birghpcc/) If you use birgHPC in your work, please cite us: Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir. birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics. Bioinformatics. Volume 27, Issue 9. pp 1320-1321. doi: 10.1093/bioinformatics/btr109