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The files can also be read by QtiPlot but only with a paid "Pro" version. Finally the liborigin [1] library can also read .OPJ files such as by using the opj2dat script, which exports the data tables contained in the file. There is also a free component (Orglab) maintained by Originlab that can be used to create (or read) OPJ files.
Version 13.0 was released in September 2016 and introduced various improvements to reporting, ease-of-use and its handling of large data sets in memory. [29] [30] Version 14.0 was released in March 2018; new functionality included a Projects file management tool alongside the ability to use your own images as markers on your graph. [31]
A chemical graph generator is a software package to generate computer representations of chemical structures adhering to certain boundary conditions. The development of such software packages is a research topic of cheminformatics .
Software crack illustration. Software cracking (known as "breaking" mostly in the 1980s [1]) is an act of removing copy protection from a software. [2] Copy protection can be removed by applying a specific crack. A crack can mean any tool that enables breaking software protection, a stolen product key, or guessed password. Cracking software ...
Grace is a free WYSIWYG 2D graph plotting tool, for Unix-like operating systems. The package name stands for "GRaphing, Advanced Computation and Exploration of data." Grace uses the X Window System and Motif for its GUI. It has been ported to VMS, OS/2, and Windows 9*/NT/2000/XP (on Cygwin).
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Sphinx is a documentation generator that can use Graphviz to embed graphs in documents. Terraform an infrastructure-as-code tool from Hashicorp allows output of an execution plan as a DOT resource graph; TOra a free-software database development and administration GUI, available under the GNU GPL. Trac wiki has a Graphviz plugin. [12]
Salmon is a software tool for computing transcript abundance from RNA-seq data using either an alignment-free (based directly on the raw reads) or an alignment-based (based on pre-computed alignments) approach. It uses an online stochastic optimization approach to maximize the likelihood of the transcript abundances under the observed data.