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13Check_RNA: a tool to evaluate 13C chemical shift assignments of RNA.
Icazatti, A A; Martin, O A; Villegas, M; Szleifer, I; Vila, J A.
Afiliação
  • Icazatti AA; Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis, CONICET, San Luis, Argentina.
  • Martin OA; Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis, CONICET, San Luis, Argentina.
  • Villegas M; Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis, CONICET, San Luis, Argentina.
  • Szleifer I; Department of Biomedical Engineering.
  • Vila JA; Chemistry of Life Processes Institute.
Bioinformatics ; 34(23): 4124-4126, 2018 12 01.
Article em En | MEDLINE | ID: mdl-29931233
Motivation: Chemical shifts (CS) are an important source of structural information of macromolecules such as RNA. In addition to the scarce availability of CS for RNA, the observed values are prone to errors due to a wrong re-calibration or miss assignments. Different groups have dedicated their efforts to correct CS systematic errors on RNA. Despite this, there are not automated and freely available algorithms for evaluating the referencing of RNA 13 C CS before their deposition to the BMRB or re-reference already deposited CS with systematic errors. Results: Based on an existent method we have implemented an open source python module to correct 13 C CS (from here on 13Cexp) systematic errors of RNAs and then return the results in 3 formats including the nmrstar one. Availability and implementation: This software is available on GitHub at https://github.com/BIOS-IMASL/13Check_RNA under a MIT license. Supplementary information: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / RNA / Isótopos de Carbono Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Argentina País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / RNA / Isótopos de Carbono Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Argentina País de publicação: Reino Unido