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An Introductory Overview of Open-Source and Commercial Software Options for the Analysis of Forensic Sequencing Data.
Huszar, Tunde I; Gettings, Katherine B; Vallone, Peter M.
  • Huszar TI; National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
  • Gettings KB; National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
  • Vallone PM; National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
Genes (Basel) ; 12(11)2021 10 29.
Article en En | MEDLINE | ID: mdl-34828345
The top challenges of adopting new methods to forensic DNA analysis in routine laboratories are often the capital investment and the expertise required to implement and validate such methods locally. In the case of next-generation sequencing, in the last decade, several specifically forensic commercial options became available, offering reliable and validated solutions. Despite this, the readily available expertise to analyze, interpret and understand such data is still perceived to be lagging behind. This review gives an introductory overview for the forensic scientists who are at the beginning of their journey with implementing next-generation sequencing locally and because most in the field do not have a bioinformatics background may find it difficult to navigate the new terms and analysis options available. The currently available open-source and commercial software for forensic sequencing data analysis are summarized here to provide an accessible starting point for those fairly new to the forensic application of massively parallel sequencing.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Dermatoglifia del ADN / Análisis de Secuencia de ADN / Biología Computacional / Genética Forense Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Dermatoglifia del ADN / Análisis de Secuencia de ADN / Biología Computacional / Genética Forense Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article