Article

A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data

2015-04-15

Abstract excerpt

Identifying functional regions in the human genome is a major goal in human genetics. Great efforts have been made to functionally annotate the human genome either through computational predictions, such as genomic conservation, or high-throughput experiments, such as the ENCODE project. These efforts have resulted in a rich collection of functional annotation data of diverse types that need to be jointly analyzed...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 34cb1077-021f-5ba3-b6e2-1f599c3c5f3c
DOI: 10.1101/018093

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation DataDOI 10.1101/018093Read

A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation data.Semantic proximity Read

Leveraging Functional Annotations in Genetic Risk Prediction for Human Complex DiseasesSemantic proximity Read

An integrative approach to predicting the functional effects of non-coding and coding sequence variation.Semantic proximity Read

Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data.Semantic proximity Read

Fast, scalable prediction of deleterious noncoding variants from functional and population genomic dataSemantic proximity Read

A spectral approach integrating functional genomic annotations for coding and noncoding variants.Semantic proximity Read

CERENKOV3: Clustering and molecular network-derived features improve computational prediction of functional noncoding SNPs.Semantic proximity Read

A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies.Semantic proximity Read

Exploring functional variant discovery in non-coding regions with SInBaD.Semantic proximity Read

Benchmarking DNA Sequence Models for Causal Regulatory Variant Prediction in Human GeneticsSemantic proximity Read

dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions.Semantic proximity Read

Integrative tissue-specific functional annotations in the human genome provide novel insights on many complex traits and improve signal prioritization in genome wide association studiesSemantic proximity Read