Search results
Results from the WOW.Com Content Network
An interactive viewer for large phylogenetic trees and networks: All [22] DensiTree A viewer capable of viewing multiple overlaid trees. All [23] FigTree: Simple Java tree viewer able to read newick and nexus tree files. Can be used to color branches and produce vector artwork. All [24] JEvTrace
Rooted trees, tanglegrams, consensus networks, hybridization networks: Daniel Huson et al. EXACT [16] [17] EXACT is based on the perfect phylogeny model, and uses a very fast homotopy algorithm to evaluate the fitness of different trees, and then it brute forces the tree search using GPUs, or multiple CPUs, on the same or on different machines
SplitsTree is a popular freeware program for inferring phylogenetic trees, phylogenetic networks, or, more generally, splits graphs, from various types of data such as a sequence alignment, a distance matrix or a set of trees.
Gramps, formerly GRAMPS (an acronym for Genealogical Research and Analysis Management Programming System), [2] is a free and open-source genealogy software. [9] It is developed in Python using PyGObject and utilizes Graphviz to create relationship graphs.
Cecropia: cecropia trees; Cecropia peltata: trumpet tree; yagrumo hembra Moraceae (mulberry family) Ficus: fig trees; Ficus altissima: council tree Moraceae (mulberry family) Ficus aspera: lofty fig; clown fig Moraceae (mulberry family) Ficus aurea: Florida strangler fig Moraceae (mulberry family) 876 Ficus auriculata: Roxburgh fig Moraceae ...
Luchman, J.N.; CHAIDFOREST: Stata module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner, Available for free download, or type within Stata: ssc install chaidforest. IBM SPSS Decision Trees grows exhaustive CHAID trees as well as a few other types of trees such as CART.
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).
Cheetah, a Python-powered template engine and code-generation tool; Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python; Jinja, a Python-powered template engine, inspired by ...