:: DESCRIPTION
SIMBA is a method to embed cells along with their defining features such as gene expression, transcription factor binding sequences and chromatin accessibility peaks into the same latent space.
::DEVELOPER
:: SCREENSHOTS
N/a
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Preprint: Huidong Chen, Jayoung Ryu, Michael E. Vinyard, Adam Lerer & Luca Pinello.
“SIMBA: SIngle-cell eMBedding Along with features. bioRxiv, 2021.10.17.464750v1 (2021).”
:: DESCRIPTION
siMBa (simple MrBayes) is a graphical user interface for the phylogenetic analysis software, MrBayes.
::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Mishra B, Thines M (2014)
siMBa — a simple graphical user interface for the Bayesian phylogenetic inference program MrBayes.
Mycological Progress 13:1255–1258
:: DESCRIPTION
The SIMBA yeast site allows interactive exploration of a large scale compendium of data from diverse high throughput experiments. You can explore the behavior of your favorite gene or sets of genes, compare the activity of various functional modules in different experimental conditions or test the relations between gene expression programs, protein interactions and transcription factor binding profiles.
::DEVELOPER
:: SCREENSHOTS
::REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
:: DESCRIPTION
SimBA (Simulation using Best-fit Algorithms) denotes methods for accurately constructing populations with specific linkage and allele distributions for nongenerative simulations.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Bioinformatics. 2015 Mar 14;16(1):82. doi: 10.1186/s12859-015-0525-0.
SimBA: simulation algorithm to fit .
Parida L, Haiminen N
