:: DESCRIPTION
Mattbench is a protein structural alignment benchmark that may be used to test and refine protein sequence aligners.
::DEVELOPER
Bioinformatics and Computational Biology Research Group, Tufts University
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
IEEE/ACM Trans Comput Biol Bioinform. 2012 Jan-Feb;9(1):286-93. doi: 10.1109/TCBB.2011.70.
Touring protein space with Matt.
Daniels NM, Kumar A, Cowen LJ, Menke M.
:: DESCRIPTION
NanoMark is a system for benchmarking DNA assembly tools, based on 3rd generation sequencers.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Evaluation of hybrid and non-hybrid methods for de novo assembly of nanopore reads.
Sović I, Križanović K, Skala K, Šikić M.
Bioinformatics. 2016 May 9. pii: btw237.
:: DESCRIPTION
Teaser is a software package for optimizing NGS read mapping results. Through rapid automated benchmarks on simulated or real data sets, the most suitable mapper for an experiment can be found within minutes. By testing the same mapper on multiple parameter settings, results can be further tuned for accuracy or speed. At the end of each benchmark, Teaser presents the results in a browser-viewable report that includes interactive figures.
::DEVELOPER
the Center of Integrative Bioinformatics Vienna (CIBIV)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Genome Biol. 2015 Oct 22;16:235. doi: 10.1186/s13059-015-0803-1.
Teaser: Individualized benchmarking and optimization of read mapping results for NGS data.
Smolka M, Rescheneder P, Schatz MC, von Haeseler A, Sedlazeck FJ.
:: DESCRIPTION
NAPAbench is a large-scale network alignment benchmark which evaluated the performance of several representative network alignment algorithms.
::DEVELOPER
Mohammad Ebrahim Sahraeian and Byung-Jun Yoon
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
A Network Synthesis Model for Generating Protein Interaction Network Families
Sayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon,
PLoS One, 7(8): e41474, 2012. doi:10.1371/journal.pone.0041474
