FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
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Quantitative Trait Loci Identify Functional Noncoding Variation in CancerThe search for cis-regulatory driver mutations in cancer genomesWhole-genome analysis of papillary kidney cancer finds significant noncoding alterationsPredicting the impact of non-coding variants on DNA methylation.A review of study designs and statistical methods for genomic epidemiology studies using next generation sequencing.Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest ModelsA Dual Model for Prioritizing Cancer Mutations in the Non-coding Genome Based on Germline and Somatic EventsObesity-related known and candidate SNP markers can significantly change affinity of TATA-binding protein for human gene promoters.AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genesPredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions.Identification of coding and non-coding mutational hotspots in cancer genomesCandidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data.Epigenomic annotation of noncoding mutations identifies mutated pathways in primary liver cancerMutation pattern is an influential factor on functional mutation rates in cancer.Predicting effects of noncoding variants with deep learning-based sequence model.LARVA: an integrative framework for large-scale analysis of recurrent variants in noncoding annotationsCandidate SNP Markers of Gender-Biased Autoimmune Complications of Monogenic Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene PromotersA uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals.Functional annotation of noncoding variants and prioritization of cancer-associated lncRNAs in lung cancer.Basset: learning the regulatory code of the accessible genome with deep convolutional neural networksCandidate SNP Markers of Chronopathologies Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters.Prioritization of non-coding disease-causing variants and long non-coding RNAs in liver cancer.iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes.3DSNP: a database for linking human noncoding SNPs to their three-dimensional interacting genes.iRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations.Small genomic insertions form enhancers that misregulate oncogenescepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes.Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networksIntegrative whole-genome sequence analysis reveals roles of regulatory mutations in BCL6 and BCL2 in follicular lymphomaIdentification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network.Landscape and variation of novel retroduplications in 26 human populations.BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variations.Accurate eQTL prioritization with an ensemble-based framework.Functional variomics and network perturbation: connecting genotype to phenotype in cancer.Most brain disease-associated and eQTL haplotypes are not located within transcription factor DNase-seq footprints in brain.CScape: a tool for predicting oncogenic single-point mutations in the cancer genome.Recurrent noncoding regulatory mutations in pancreatic ductal adenocarcinoma.Identification of genetic variants affecting vitamin D receptor binding and associations with autoimmune disease.One thousand somatic SNVs per skin fibroblast cell set baseline of mosaic mutational load with patterns that suggest proliferative origin.
P2860
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P2860
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
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FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
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FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
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FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@nl
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FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@ast
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@en
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@nl
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FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@ast
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@en
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@nl
P2093
P2860
P1433
P1476
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
@en
P2093
Ekta Khurana
Jason Bedford
Kevin Y Yip
Shaoke Lou
Xinmeng Jasmine Mu
P2860
P356
10.1186/PREACCEPT-1739683221127290
P577
2014-01-01T00:00:00Z