ARB Project
The ARB Project is a free software package for the phylogenetic analysis of rRNA and other biological sequences including DNA and protein sequence. It simplifies the import and assembly of genetic sequences from any organisms with the use of an automated aligner. This editing process can be depicted into two subcategories: "Primary Structure Editor" and "Secondary Structure Editor". Comprehensively, this allows the necessary make up for developing a phylogenetic tree. The software provides the visualization of the biological sequences which gives the user a more in depth experience and interaction. This is particularly necessary when comparing phylogeny data from various organisms.[1]
Introduction
From the authors' description,[2]
The ARB (ARB short for the Latin arbor) program package comprises a variety of directly interacting software tools for sequence database maintenance and analysis controlled by a common graphical user interface. Although it was initially designed for ribosomal RNA data, it can be used for nucleic acid and amino acid sequence data. A central database contains processed (aligned) primary structure data. Additional descriptive data can be stored in database fields assigned to the individual sequences or linked via local or worldwide networks. A phylogenetic tree visualized in the main window can be used for data access and visualization. The package contains additional tools for data import and export, sequence alignment, primary and secondary structure editing, profile and filter calculation, phylogenetic analyses, specific hybridization probe design and evaluation, and other components for data analysis.
The software was last updated in 2021.[3] The newer version may run on OSX system.
References
- Kumar, Yadhu. "The ARB Project" (PDF).
- Ludwig, W. (23 February 2004). "ARB: a software environment for sequence data". Nucleic Acids Research. 32 (4): 1363–1371. doi:10.1093/nar/gkh293. PMC 390282. PMID 14985472.
- "ARB 7.0: Advancing the handling of large rRNA databases and phylogenetic trees". www.mpi-bremen.de. Retrieved 2023-06-26.