RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
about
An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.RNA-seq Data: Challenges in and Recommendations for Experimental Design and Analysis.INTEGRATE: gene fusion discovery using whole genome and transcriptome data.Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data.Discovering and understanding oncogenic gene fusions through data intensive computational approachesRecurrent ESR1-CCDC170 rearrangements in an aggressive subset of oestrogen receptor-positive breast cancers.Is an observed non-co-linear RNA product spliced in trans, in cis or just in vitro?Genomic hallmarks of genes involved in chromosomal translocations in hematological cancer.Differential transcriptome profile of peripheral white cells to identify biomarkers involved in oxaliplatin induced neuropathy.Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions.JAFFA: High sensitivity transcriptome-focused fusion gene detection.Characterization of fusion genes and the significantly expressed fusion isoforms in breast cancer by hybrid sequencing.Full-length single-cell RNA-seq applied to a viral human cancer: applications to HPV expression and splicing analysis in HeLa S3 cellsNCLscan: accurate identification of non-co-linear transcripts (fusion, trans-splicing and circular RNA) with a good balance between sensitivity and precisionCharacterizing the heterogeneity of triple-negative breast cancers using microdissected normal ductal epithelium and RNA-sequencing.Detecting and targetting oncogenic fusion proteins in the genomic era.Genomic profiling of ER+ breast cancers after short-term estrogen suppression reveals alterations associated with endocrine resistance.Identification of KANSARL as the first cancer predisposition fusion gene specific to the population of European ancestry origin.The Protein Encoded by the CCDC170 Breast Cancer Gene Functions to Organize the Golgi-Microtubule Network
P2860
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P2860
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
description
2012 nî lūn-bûn
@nan
2012 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@ast
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@en
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@nl
type
label
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@ast
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@en
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@nl
prefLabel
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@ast
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@en
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@nl
P2093
P2860
P1476
RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
@en
P2093
Asim S Siddiqui
Benjamin S Kong
Catalin Barbacioru
Chieh-Yuan Li
Fiona C Hyland
Heinz Breu
Jeffrey K Ichikawa
Joel P Brockman
John P Bodeau
P2860
P304
P356
10.1371/JOURNAL.PCBI.1002464
P577
2012-04-05T00:00:00Z