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

Integrative deep-sequencing analysis of cancer samples: discoveries and clinical challenges.

The pharmacogenomics journal - 1 Jun 2013

Roukos D

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to DNA Copy Number Variations
Share to Gene Expression Profiling
Share to Gene Expression Regulation, Neoplastic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Heterogeneity

Share to High-Throughput Nucleotide Sequencing

Share to Medulloblastoma

Share to Mutation

Source

Identifiers

PMID: 23296155
DOI: 10.1038/tpj.2012.51

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative deep-sequencing analysis of cancer samples: discoveries and clinical challenges.PMID 23296155Read ↗

Deep sequencing in cancer research.Semantic proximity Read ↗

Whole Genome Sequencing in Cancer Clinics.Semantic proximity Read ↗

Integrative insights and clinical applications of single-cell sequencing in cancer immunotherapySemantic proximity Read ↗

Toward a systematic understanding of cancers: a survey of the pan-cancer studySemantic proximity Read ↗

Exploring the cancer genome in the era of next-generation sequencingSemantic proximity Read ↗

The grand challenge of moving cancer whole-genome sequencing into the clinicSemantic proximity Read ↗

Leveraging single-cell sequencing to classify and characterize tumor subgroups in bulk RNA-sequencing dataSemantic proximity Read ↗

Tumor genetic analysis from single-cell RNA-seq data.Semantic proximity Read ↗

Massively parallel sequencing analysis of mucinous ovarian carcinomas: genomic profiling and differential diagnosesSemantic proximity Read ↗

Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumor samples to guide precision cancer medicineSemantic proximity Read ↗

Optimizing Cancer Genome Sequencing and AnalysisSemantic proximity Read ↗

Global mapping of cancers: The Cancer Genome Atlas and beyond.Semantic proximity Read ↗

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