ArticleLife science alliance2019
Targeted variant detection using unaligned RNA-Seq reads.
Article in Life science alliance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Strategies for identifyingHaematologica · 2026Article
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- A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024Review
- Distribution rules of 8-mer spectra and characterization of evolution state in animal genome sequences.BMC genomics · 2024Article
- Long-term severe hypoxia adaptation induces non-canonical EMT and a novel Wilms Tumor 1 (WT1) isoform.Cancer gene therapy · 2024Article
- Article
- Outlier Expression of Isoforms by Targeted or Total RNA Sequencing Identifies Clinically Significant Genomic Variants in Hematolymphoid Tumors.The Journal of molecular diagnostics : JMD · 2023Article
- Frugal alignment-free identification of FLT3-internal tandem duplications with FiLT3r.BMC bioinformatics · 2022Article
- RaScALL: Rapid (Ra) screening (Sc) of RNA-seq data for prognostically significant genomic alterations in acute lymphoblastic leukaemia (ALL).PLoS genetics · 2022Article
- Unified gene expression signature of novel NPM1 exon 5 mutations in acute myeloid leukemia.Blood advances · 2022Article
- MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data.Genome biology · 2021Article
- Emerging molecular subtypes and therapeutic targets in B-cell precursor acute lymphoblastic leukemia.Frontiers of medicine · 2021Review
- Finding a suitable library size to call variants in RNA-Seq.BMC bioinformatics · 2020Article
- Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition.Bioinformatics (Oxford, England) · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mutations identified in acute myeloid leukemia patients are useful for prognosis and for selecting targeted therapies. Detection of such mutations using next-generation sequencing data requires a computationally intensive read mapping step followed by several variant calling methods. Targeted mutation identification drastically shifts the usual tradeoff between accuracy and performance by concentrating all computations over a small portion of sequence space. Here, we present
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.