Integrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies.
about
Determinants of the rate of protein sequence evolutionReview of current methods, applications, and data management for the bioinformatics analysis of whole exome sequencing.Prioritization Of Nonsynonymous Single Nucleotide Variants For Exome Sequencing Studies Via Integrative Learning On Multiple Genomic Data.Global inference of disease-causing single nucleotide variants from exome sequencing dataLeveraging multiple genomic data to prioritize disease-causing indels from exome sequencing data.Correlating information contents of gene ontology terms to infer semantic similarity of gene products.Human germline and pan-cancer variomes and their distinct functional profilesAn integrative computational approach for prioritization of genomic variantsExonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools.KinMutRF: a random forest classifier of sequence variants in the human protein kinase superfamily.IGSA: Individual Gene Sets Analysis, including Enrichment and ClusteringIntegrative Variation Analysis Reveals that a Complex Genotype May Specify Phenotype in Siblings with Syndromic Autism Spectrum Disorder.dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions.An Atlas of the Human Kinome Reveals the Mutational Landscape Underlying Dysregulated Phosphorylation Cascades in Cancer.The SickKids Genome Clinic: developing and evaluating a pediatric model for individualized genomic medicine.Variant Ranker: a web-tool to rank genomic data according to functional significance.Walking on multiple disease-gene networks to prioritize candidate genes.Genomics of Immune Diseases and New Therapies.Strategic Integration of Multiple Bioinformatics Resources for System Level Analysis of Biological Networks.PERCH: A Unified Framework for Disease Gene Prioritization.The Rise and Rise of Exome Sequencing.An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions.Mimvec: a deep learning approach for analyzing the human phenomePolymorphisms of drug-metabolizing enzyme CYP2E1 in Chinese Uygur population.
P2860
Q28645761-0B5BDE75-7125-4FB2-BBAF-23D3ED8C6C05Q30857788-83C7FADA-65CA-4C45-8DBE-5E08461A2715Q31004569-CE021936-ABD6-4D86-8818-AFDF0613C78DQ31159221-4A7E1CAF-BD27-4C41-9BFE-A24EE8794076Q33686908-186C7C77-C7A0-4543-8DCA-F6BE898C9D78Q33745788-AF2CBACA-7FD3-40FA-8AA2-27DB370DA42CQ34312953-FE5FC4E4-A3D9-498A-ACDD-844D638904B2Q34704103-65CEC1B5-9702-47DE-923F-30DE1A17DC0DQ35892850-79075B06-55B4-426B-8B86-E506F164C945Q36064404-ADB8B9BB-00B8-4154-9DEC-40C39DB12159Q36169108-538526ED-AEC7-4916-9AEF-E8D19373FE25Q36258805-733477EC-504A-4437-A210-5D4104A74A1BQ36697961-17F5E1C1-4925-408F-93F7-E290DD2755F4Q37002648-422C84E6-FD68-47A7-97BE-029D6FCABE6FQ38392363-D13F82F0-F449-49C7-80B2-3C5DF64551CFQ38431128-B92BEB51-F062-4E54-B7BE-F7C5048F06FDQ38466830-C2B84F02-20C3-4588-9D00-2C25DA41ED82Q38560780-E2E6C25A-A170-41F5-9263-975559626481Q38604281-EB8FFF11-1F55-4327-9CC7-ADFCBBD28BC8Q39084727-51A0117A-E19D-4C81-A722-6DA3A96E642FQ40451424-0CD12B98-683A-4513-9443-11529ABF8C61Q40666720-9BD95223-46A1-483C-BD09-46A7DDC95474Q41670529-C742B326-42C4-4266-9180-5C5FC784691FQ50003066-43B2E24E-8A50-4CF1-8537-EF4220DFA726
P2860
Integrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին 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
name
Integrating multiple genomic d ...... s in exome sequencing studies.
@ast
Integrating multiple genomic d ...... s in exome sequencing studies.
@en
type
label
Integrating multiple genomic d ...... s in exome sequencing studies.
@ast
Integrating multiple genomic d ...... s in exome sequencing studies.
@en
prefLabel
Integrating multiple genomic d ...... s in exome sequencing studies.
@ast
Integrating multiple genomic d ...... s in exome sequencing studies.
@en
P2860
P1433
P1476
Integrating multiple genomic d ...... s in exome sequencing studies.
@en
P2093
P2860
P304
P356
10.1371/JOURNAL.PGEN.1004237
P50
P577
2014-03-20T00:00:00Z