A Unified Computational Framework for a Robust, Reliable, and Reproducible Identification of Novel miRNAs From the RNA Sequencing Data.

Ruhela, Vivek; Gupta, Anubha; Sriram, K; Ahuja, Gaurav; Kaur, Gurvinder; Gupta, Ritu

Ruhela, Vivek; Gupta, Anubha; Sriram, K; Ahuja, Gaurav; Kaur, Gurvinder; Gupta, Ritu.

Afiliación

Ruhela V; Department of Computational Biology & Centre for Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-D), New Delhi, India.
Gupta A; SBILab, Department of ECE & Centre of Excellence in Healthcare, Indraprastha Institute of Information Technology-Delhi (IIIT-D), New Delhi, India.
Sriram K; Department of Computational Biology & Centre for Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-D), New Delhi, India.
Ahuja G; Department of Computational Biology & Centre for Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-D), New Delhi, India.
Kaur G; Laboratory Oncology Unit, IRCH, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Gupta R; Laboratory Oncology Unit, IRCH, All India Institute of Medical Sciences (AIIMS), New Delhi, India.

Front Bioinform ; 2: 842051, 2022.

Article en En | MEDLINE | ID: mdl-36304305

Palabras clave

RNA-seq; miRNA; next generation sequencing data; novel miRNA; paralogues; piRNA; synthetic RNA-seq data generation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Bioinform Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Suiza

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