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

Analysis of Mutational Signatures Using the mutSignatures R Library.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2023

Fantini Damiano, Meeks Joshua J

Abstract excerpt

Accumulation of somatic mutations is a hallmark of cancer. Defects in DNA metabolism and DNA repair and exposure to mutagens may result in characteristic nonrandom profiles of DNA mutations, also known as mutational signatures. Resolving mutational signatures can help identifying genetic instability processes active in human cancer samples, and there is an expectation that this information might be exploited in...

Read the complete abstract on PubMed

Topics

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

Share to DNA
Share to DNA Mutational Analysis
Share to Mutagens

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Neoplasms

Share to Software

Source

Identifiers

PMID: 37410227
DOI: 10.1007/978-1-0716-3291-8_3

Provenance

PubMed metadata and Literature Corpus relationships.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Analysis of Mutational Signatures Using the mutSignatures R Library.PMID 37410227Read ↗

MutSignatures: an R package for extraction and analysis of cancer mutational signatures.Semantic proximity Read ↗

MutSignatures: An R Package for Extraction and Analysis of Cancer Mutational SignaturesSemantic proximity Read ↗

Bioinformatic Methods to Identify Mutational Signatures in Cancer.Semantic proximity Read ↗

Learning mutational signatures and their multidimensional genomic properties with TensorSignaturesSemantic proximity Read ↗

CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomesSemantic proximity Read ↗

A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.Semantic proximity Read ↗

A practical guide for mutational signature analysis in hematological malignanciesSemantic proximity Read ↗

Learning mutational signatures and their multidimensional genomic properties with TensorSignatures.Semantic proximity Read ↗

Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis.Semantic proximity Read ↗

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

iMutSig: a web application to identify the most similar mutational signature using shinySemantic proximity Read ↗

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

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