title: GelClust: a software tool for gel electrophoresis images analysis and dendrogram generation.
abstract: This paper presents GelClust, a new software that is designed for processing gel electrophoresis images and generating the corresponding phylogenetic trees. Unlike the most of commercial and non-commercial related softwares, we found that GelClust is very user-friendly and guides the user from image toward dendrogram through seven simple steps. Furthermore, the software, which is implemented in C# programming language under Windows operating system, is more accurate than similar software regarding image processing and is the only software able to detect and correct gel 'smile' effects completely automatically. These claims are supported with experiments.
authors.affiliation: Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
authors.forename: Sahand
authors.initials: S
authors.lastname: Khakabimamaghani
authors.forename: Ali
authors.initials: A
authors.lastname: Najafi
authors.forename: Reza
authors.initials: R
authors.lastname: Ranjbar
authors.forename: Monireh
authors.initials: M
authors.lastname: Raam
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D004247:DNA / Q000032:analysis; D001330:Electronic Data Processing; D004587:Electrophoresis, Agar Gel / Q000379:methods*; D004591:Electrophoresis, Polyacrylamide Gel / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010802:Phylogeny; D011381:Programming Languages; D015203:Reproducibility of Results; D012984:Software
chemical_list: D004247:DNA
keywords: Dendrogram; Gel electrophoresis images; Image processing; Phylogenetic trees; Software