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August 18, 2025F1000ResearchOpen Access

Identification of Viral Variants from Functional Genomics Data

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Authors

FRFlorian RöcklCFCaroline C. Friedel

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Overview

A pipeline discovers viral variants in functional genomics data, suggesting efficient mutation identification methods.

Key Points

  • Identifying viral variants helps confirm mutations directly in experimental data, enhancing research accuracy.
  • The pipeline correctly identified mutations in RNA-seq data for Herpes simplex virus 1, validating its effectiveness.
  • This method leverages SNP callers and innovative techniques for discovering structural variants from complex datasets.
  • By using this pipeline, researchers can streamline variant identification without needing additional genome sequencing.

Cite This Study

Röckl et al. (2025) studied this question.

synapsesocial.com/papers/68af4322ad7bf08b1ead1e8ahttps://doi.org/10.12688/f1000research.168786.1
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Also Consider

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  1. 1VIRUS-MVP: a framework for comprehensive surveillance of viral mutations and their functional impacts2025
  2. 2AI-Enabled Pipeline for Virus Detection, Validation, and SNP Discovery from Next-Generation Sequencing Data2024 · 1 citations
  3. 3SNP‐SVant: A Computational Workflow to Predict and Annotate Genomic Variants in Organisms Lacking Benchmarked Variants2024
  4. 4Refining SARS-CoV-2 Intra-host Variation by Leveraging Large-Scale Sequencing Data2024
  5. 5Defective but promising: evaluating the utility of currently available bioinformatic pipelines for detecting defective viral genomes in RNA-Seq data2025