Search Results for "character"

Nexplorer is a web-based phylogenetic browser, used to view and edit comparative data, and ideal for creating publication-quality views in which the tips of a tree are aligned with the rows of a character matrix (e.g., a sequence alignment).

HIGH-THROUGHPUT TABULAR DATA PROCESSOR (HTDP) is Java application that is intended to facilitate data exploration and reduction tasks in large text files resulting from high throughput technologies, e.g. massively parallel sequencing or microarrays. The software has been optimized for microarray and deep parallel sequencing data, however it can accept any character delimited tabular data sets. HTDP can also import, process and convert Variant Call Format (VCF) files ver. 4.0, 4.1 and 4.2 (http://samtools.github.io/hts-specs/VCFv4.2.pdf). HTDP provides quick filtering functionality and can process data consisting of single or multiple input files. Citation: Madanecki P, Bałut M, Buckley PG, Ochocka JR, Bartoszewski R, Crossman DK, et al. (2018) High-Throughput Tabular Data Processor – Platform independent graphical tool for processing large data sets. ...

...MSTgold estimates the number of alternative MSTs, reports up to a user-determined number of those trees, reports a consensus tree, and implements a bootstrapping metric to assess the reliability of alternate MST solutions. MSTgold accepts single-character data that are nucleotides, amino acids, binary characters, or SNPs; integers that represent, for instance, the lengths of VNTRs or microsatellites; and distance matrices. The MSTgold package includes Mac OS X, Linux, and Windows executables of the MSTgold program, a detailed Manual, example data and results, and executables of the program Fasta2MSTG which converts Fasta sequence files to the MSTgold input format.

Phenex is an application for annotating taxa and phenotypes in character matrix files with ontology terms. Phenex saves ontology annotations alongside traditional character matrix data using the NeXML format standard for evolutionary data. Current Phenex development is taking place at GitHub: https://github.com/phenoscape/Phenex