:: DESCRIPTION
The goal of AGILE (Assembled Genome minIng pipeLinE) is to mine and annotate genes from a target genome using a set of reference genes from a closely related taxon.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Hughes GM, Teeling EC.
AGILE: an assembled genome mining pipeline.
Bioinformatics. 2019 Apr 1;35(7):1252-1254. doi: 10.1093/bioinformatics/bty781. PMID: 30184049.
:: DESCRIPTION
MOSAICS is a sampling program developed to improve sampling efficiency by incorporating natural move-sets for proteins and nucleic acids.
MOSAICS-EM is a software package designed to refine molecular conformations directly against two-dimensional (2D) electron-microscopy images.
PymoSAICS is a pyMol plugin of MOSAICS.
::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Exploring peptide/MHC detachment processes using Hierarchical Natural Move Monte Carlo.
Knapp B, Demharter S, Deane CM, Minary P.
Bioinformatics. 2015 Sep 22. pii: btv502
:: DESCRIPTION
MiRduplexSVM is the first software to provide precise information about all four ends of the miRNA duplex.
::DEVELOPER
Computational Biology Lab, IMBB/FORTH
: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology.
Karathanasis N, Tsamardinos I, Poirazi P.
PLoS One. 2015 May 11;10(5):e0126151. doi: 10.1371/journal.pone.0126151.
:: DESCRIPTION
MCAM is the application of unsupervised learning to high throughput biological datasets of quantitative measurements. Specifically, since the perturbation of data by transformations or changes in the algorithm or distance metric used affects the resulting clustering solution, MCAM seeks to combine large numbers of clustering solutions to better understand the solution space of resulting clusters.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets.
Naegle KM, Welsch RE, Yaffe MB, White FM, Lauffenburger DA.
PLoS Comput Biol. 2011 Jul;7(7):e1002119. doi: 10.1371/journal.pcbi.1002119.
:: DESCRIPTION
MACOED is a multi-objective ant colony optimization algorithm for detecting the genetic interactions.
::DEVELOPER
Computational Systems Biology Group, Shanghai Jiao Tong University
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Bioinformatics. 2014 Oct 22. pii: btu702.
MACOED: A multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies.
Jing PJ, Shen HB
