RAFTS3G: an efficient and versatile clustering software to analyses in large protein datasets

RAFTS3G: an efficient and versatile clustering software to analyses in large protein datasets

Abstract Background Clustering methods are essential to partitioning biological samples being useful to minimize the information complexity in large datasets. Tools in this context usually generates data with greed algorithms that solves some Data Mining difficulties which can degrade biological rel...

Full description

Bibliographic Details
Main Authors: Bruno Thiago de Lima Nichio, Aryel Marlus Repula de Oliveira, Camilla Reginatto de Pierri, Leticia Graziela Costa Santos, Alexandre Quadros Lejambre, Ricardo Assunção Vialle, Nilson Antônio da Rocha Coimbra, Dieval Guizelini, Jeroniza Nunes Marchaukoski, Fabio de Oliveira Pedrosa, Roberto Tadeu Raittz
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Bioinformatics
Online Access:http://link.springer.com/article/10.1186/s12859-019-2973-4

Internet

http://link.springer.com/article/10.1186/s12859-019-2973-4

Similar Items