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rna-seq mapping and rna editing detection pipelines  (Strongarm Inc)

 
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    Structured Review

    Strongarm Inc rna-seq mapping and rna editing detection pipelines
    The <t>StrongArm</t> RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
    Rna Seq Mapping And Rna Editing Detection Pipelines, supplied by Strongarm Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rna+sequency+data+processing/rna+sequencing+data/pmc08597231-66-3-3
    Average 90 stars, based on 1 article reviews
    rna-seq mapping and rna editing detection pipelines - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "The landscape of coding RNA editing events in pediatric cancer"

    Article Title: The landscape of coding RNA editing events in pediatric cancer

    Journal: BMC Cancer

    doi: 10.1186/s12885-021-08956-5

    The StrongArm RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort
    Figure Legend Snippet: The StrongArm RNA-Seq mapping and RNA editing detection pipelines. A Schematic workflow of StrongArm RNA-seq mapping pipeline. The pipeline starts with competitive mapping of 5 different combinations of mapper and database, followed by further local refinement. B RNA editing identification pipeline. RNA-Seq BAM files are aligned with StrongArm as shown in (A), and germline and somatic DNA variants are also called from the same patient using WGS or WES of matched tumor and germline DNA. The pipeline searches for RNA-specific (RNA editing) variants in coding (CDS) regions by comparing RNA-Seq reads to DNA-Seq. A series of false editing filters is then employed to remove RNA editing artifacts, followed by manual review of the BAM alignment. The RNA editing candidates are then used to evaluate the editing levels cross the whole cohort

    Techniques Used: RNA Sequencing, DNA Sequencing

    Related Articles

    RNA Sequencing:

    Article Title: H3.3 K27M Depletion Increases Differentiation and Extends Latency of Diffuse Intrinsic Pontine Glioma Growth In Vivo
    Article Snippet: .. Total stranded RNA sequencing data was generated and mapped against human genome assembly GRCh37 using the StrongArm pipeline described previously [ 49 ] We used the XenoCP method to remove mouse reads misaligned to the human genome using (in preparation; Michael C Rusch, Xiang Chen, Liang Ding, Hongjian Jin, Gang Wu, Lei Wei, Michael A. Dyer, and Jinghui Zhang. ..

    Article Title: Molecular Mechanism of Telomere Length Dynamics and Its Prognostic Value in Pediatric Cancers
    Article Snippet: .. Gene Expression From RNA Sequencing RNA sequencing data were mapped using our internal StrongArm pipeline as previously described ( 21 ). ..

    Generated:

    Article Title: H3.3 K27M Depletion Increases Differentiation and Extends Latency of Diffuse Intrinsic Pontine Glioma Growth In Vivo
    Article Snippet: .. Total stranded RNA sequencing data was generated and mapped against human genome assembly GRCh37 using the StrongArm pipeline described previously [ 49 ] We used the XenoCP method to remove mouse reads misaligned to the human genome using (in preparation; Michael C Rusch, Xiang Chen, Liang Ding, Hongjian Jin, Gang Wu, Lei Wei, Michael A. Dyer, and Jinghui Zhang. ..

    other:

    Article Title: The landscape of coding RNA editing events in pediatric cancer
    Article Snippet: We analyzed RNA editing in 954 pediatric cancer samples from PCGP (later filtered to 711 as described in Methods; Fig. A, Supplementary Fig. ) using RNA-Seq data mapped with StrongArm (Fig. A).

    Article Title: The landscape of coding RNA editing events in pediatric cancer
    Article Snippet: This analysis includes 15 PCGP samples’ RNA-Seq data mapped by both StrongArm and STAR (the same samples used for Supplementary Fig. 3). ( A ) More RNA editing sites are evaluable by StrongArm than by STAR mapping.

    Article Title: The landscape of coding RNA editing events in pediatric cancer
    Article Snippet: Comparison of RNA editing detection between STAR- and StrongArm-mapped RNA-Seq data.

    Article Title: The landscape of coding RNA editing events in pediatric cancer
    Article Snippet: A Schematic workflow of StrongArm RNA-seq mapping pipeline.

    Gene Expression:

    Article Title: Molecular Mechanism of Telomere Length Dynamics and Its Prognostic Value in Pediatric Cancers
    Article Snippet: .. Gene Expression From RNA Sequencing RNA sequencing data were mapped using our internal StrongArm pipeline as previously described ( 21 ). ..



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