Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data.
about
Identifying fusion transcripts using next generation sequencingChimeric RNAs in cancer and normal physiology.Recurrent chimeric fusion RNAs in non-cancer tissues and cells.Discovering and understanding oncogenic gene fusions through data intensive computational approachesInFusion: Advancing Discovery of Fusion Genes and Chimeric Transcripts from Deep RNA-Sequencing Data.A new GTF2I-BRAF fusion mediating MAPK pathway activation in pilocytic astrocytoma.Single molecule RNA sequencing uncovers trans-splicing and improves annotations in Anopheles stephensi.ChimeRScope: a novel alignment-free algorithm for fusion transcript prediction using paired-end RNA-Seq data.Recurrent and pathological gene fusions in breast cancer: current advances in genomic discovery and clinical implications.Cytogenetic and molecular profile of endometrial stromal sarcoma.Global analysis of somatic structural genomic alterations and their impact on gene expression in diverse human cancersGFusion: an Effective Algorithm to Identify Fusion Genes from Cancer RNA-Seq Data.Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis.Statistical algorithms improve accuracy of gene fusion detection.Characterization of fusion genes in common and rare epithelial ovarian cancer histologic subtypesOn the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAs.Identification of KANSARL as the first cancer predisposition fusion gene specific to the population of European ancestry origin.SimBA: A methodology and tools for evaluating the performance of RNA-Seq bioinformatic pipelinesInformatics for cancer immunotherapy.NUTM1 Gene Fusions Characterize a Subset of Undifferentiated Soft Tissue and Visceral Tumors.Epithelioid fibrous histiocytoma: molecular characterization of ALK fusion partners in 23 cases.FuSpot: a web-based tool for visual evaluation of fusion candidates.SQUID: transcriptomic structural variation detection from RNA-seq.STAR Chimeric Post For Rapid Detection of Circular RNA and Fusion Transcripts.FusionHub: A unified web platform for annotation and visualization of gene fusion events in human cancer.
P2860
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P2860
Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Comprehensive evaluation of fu ...... ds in paired-end RNA-seq data.
@ast
Comprehensive evaluation of fu ...... ds in paired-end RNA-seq data.
@en
type
label
Comprehensive evaluation of fu ...... ds in paired-end RNA-seq data.
@ast
Comprehensive evaluation of fu ...... ds in paired-end RNA-seq data.
@en
prefLabel
Comprehensive evaluation of fu ...... ds in paired-end RNA-seq data.
@ast
Comprehensive evaluation of fu ...... ds in paired-end RNA-seq data.
@en
P2093
P2860
P356
P1476
Comprehensive evaluation of fu ...... ods in paired-end RNA-seq data
@en
P2093
Adrian V Lee
George C Tseng
Hsei-Wei Wang
I-Fang Chung
Jianhua Luo
Silvia Liu
SungHwan Kim
Tianzhou Ma
Ting-Yu Chang
P2860
P356
10.1093/NAR/GKV1234
P407
P577
2015-11-17T00:00:00Z