Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.

Cell systems - 28 Mar 2018

Ellrott Kyle, Bailey Matthew H, Saksena Gordon, Covington Kyle R, Kandoth Cyriac, Stewart Chip, Hess Julian, Ma Singer, Chiotti Kami E, McLellan Michael, Sofia Heidi J, Hutter Carolyn, Getz Gad, Wheeler David, Ding Li

Abstract excerpt

The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs across 33 different cancer types, in total >400 TB of raw data files requiring analysis. Here we describe the Multi-Center Mutation Calling in Multiple Cancers project, our effort to generate a comprehensive encyclopedia of somatic mutation calls for the TCGA data to enable robust cross-tumor-type analyses. Our...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Exome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Exome Sequencing

Share to Genomics

Share to High-Throughput Nucleotide Sequencing

Share to Information Dissemination

Share to Neoplasms

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 29596782
DOI: 10.1016/j.cels.2018.03.002
PMCID: PMC6075717

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines.PMID 29596782Read ↗

Identifying cancer mutation targets across thousands of samples: MuteProc, a high throughput mutation analysis pipeline.Semantic proximity Read ↗

Accelerated somatic mutation calling for whole-genome and whole-exome sequencing data from heterogenous tumor samplesSemantic proximity Read ↗

Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples.Semantic proximity Read ↗

Accelerated somatic mutation calling for whole-genome and whole-exome sequencing data from heterogenous tumor samples.Semantic proximity Read ↗

ONCOLINER: A new solution for monitoring, improving, and harmonizing somatic variant calling across genomic oncology centers.Semantic proximity Read ↗

TNscope: Accurate Detection of Somatic Mutations with Haplotype-based Variant Candidate Detection and Machine Learning FilteringSemantic proximity Read ↗

Accuracy and Reproducibility of Somatic Point Mutation Calling in Clinical-Type Targeted Sequencing DataSemantic proximity Read ↗

Comprehensive benchmarking of SNV callers for highly admixed tumor data.Semantic proximity Read ↗

A benchmarking study of individual somatic variant callers and voting-based ensembles for whole-exome sequencingSemantic proximity Read ↗

Methods, challenges, and promise of next-generation sequencing in cancer biology.Semantic proximity Read ↗

ExScalibur: A High-Performance Cloud-Enabled Suite for Whole Exome Germline and Somatic Mutation Identification.Semantic proximity Read ↗

Evaluating the analytical validity of mutation calling pipeline for tumor whole exome sequencingSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.