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

HotSpotter: efficient visualization of driver mutations.

BMC genomics - 1 Dec 2014

Roszik Jason, Woodman Scott E

Abstract excerpt

BACKGROUND: Driver mutations are positively selected during the evolution of cancers. The relative frequency of a particular mutation within a gene is typically used as a criterion for identifying a driver mutation. However, driver mutations may occur with relative infrequency at a particular site, but cluster within a region of the gene. When analyzing across different cancers, particular mutation sites or...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Mutation
Share to Software

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 25435088
DOI: 10.1186/1471-2164-15-1044
PMCID: PMC4265503

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

HotSpotter: efficient visualization of driver mutations.PMID 25435088Read ↗

Visualizing and exploring patterns of large mutational events with SigProfilerMatrixGeneratorSemantic proximity Read ↗

TCGAnalyzeR: a web application for integrative visualization of molecular and clinical data of cancer patients for cohort and associated gene discoverySemantic proximity Read ↗

Oviz-Bio: a web-based platform for interactive cancer genomics data visualization.Semantic proximity Read ↗

kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing.Semantic proximity Read ↗

Visualizing and exploring patterns of large mutational events with SigProfilerMatrixGenerator.Semantic proximity Read ↗

SigProfilerMatrixGenerator: a tool for visualizing and exploring patterns of small mutational eventsSemantic proximity Read ↗

OncoMORPHIA: An Integrated Web Platform for Interactive 3D Visualization and Functional Annotation of Cancer MutationsSemantic proximity Read ↗

CM-viewer: Visualizing interaction network of co-mutated and mutually exclusively mutated cancer genes.Semantic proximity Read ↗

Visualization-based discovery and analysis of genomic aberrations in microarray data.Semantic proximity Read ↗

HotSpotAnnotations-a database for hotspot mutations and annotations in cancer.Semantic proximity Read ↗

A simple model-based approach to inferring and visualizing cancer mutation signaturesSemantic proximity Read ↗

SNPitty: An Intuitive Web Application for Interactive B-Allele Frequency and Copy Number Visualization of Next-Generation Sequencing Data.Semantic proximity Read ↗

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