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

Bioinformatics Data Analysis of Next-Generation Sequencing Data from Heterogeneous Tumor Samples.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2017

Landman Sean R, Hwang Tae Hyun

Abstract excerpt

Tumor heterogeneity is a major challenge when it comes to treating cancer and also complicates research aimed at determining genetic sources for tumorigenesis. Leveraging high-throughput sequencing technology has been an effective approach for advancing our understanding of genetic diseases, and this type of data can also be used to better understand and make inferences about tumor heterogeneity. Here we describe...

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 Genomics
Share to High-Throughput Nucleotide Sequencing

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Neoplasms

Share to Polymorphism, Single Nucleotide

Share to Sequence Analysis, DNA

Source

Identifiers

PMID: 28735488
DOI: 10.1007/978-1-4939-7142-8_12

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Bioinformatics Data Analysis of Next-Generation Sequencing Data from Heterogeneous Tumor Samples.PMID 28735488Read ↗

Characterization of cancer genomic heterogeneity by next-generation sequencing advances precision medicine in cancer treatmentSemantic proximity Read ↗

Computational Methods for Characterizing Cancer Mutational HeterogeneitySemantic proximity Read ↗

Heterogeneity in CancerSemantic proximity Read ↗

CancerTracer: a curated database for intrapatient tumor heterogeneity.Semantic proximity Read ↗

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing.Semantic proximity Read ↗

Recent advances and current issues in single-cell sequencing of tumors.Semantic proximity Read ↗

Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes.Semantic proximity Read ↗

Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicatorSemantic proximity Read ↗

The challenges of tumor genetic diversity.Semantic proximity Read ↗

Comprehensive statistical inference of the clonal structure of cancer from multiple biopsiesSemantic proximity Read ↗

Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies.Semantic proximity Read ↗

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomesSemantic proximity Read ↗

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