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We are analyzing https://www.nature.com/articles/nrg2841.

Title:
Advances in understanding cancer genomes through second-generation sequencing | Nature Reviews Genetics
Description:
Cancer is fundamentally a disease of the genome and so high-throughput sequencing technologies offer great potential for improving our understanding of the biology and treatment of cancer. Experimental strategies, computational approaches and cancer-specific considerations for detecting different types of genomic alterations are discussed. Cancers are caused by the accumulation of genomic alterations. Therefore, analyses of cancer genome sequences and structures provide insights for understanding cancer biology, diagnosis and therapy. The application of second-generation DNA sequencing technologies (also known as next-generation sequencing) β€” through whole-genome, whole-exome and whole-transcriptome approaches β€” is allowing substantial advances in cancer genomics. These methods are facilitating an increase in the efficiency and resolution of detection of each of the principal types of somatic cancer genome alterations, including nucleotide substitutions, small insertions and deletions, copy number alterations, chromosomal rearrangements and microbial infections. This Review focuses on the methodological considerations for characterizing somatic genome alterations in cancer and the future prospects for these approaches.
Website Age:
30 years and 10 months (reg. 1994-08-11).

Matching Content Categories {πŸ“š}

  • Education
  • Science
  • Business & Finance

Content Management System {πŸ“}

What CMS is nature.com built with?

Custom-built

No common CMS systems were detected on Nature.com, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of nature.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Nature.com Make Money? {πŸ’Έ}


Display Ads {🎯}


The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.

Ads are managed by yourbow.com. Particular relationships are as follows:

Direct Advertisers (10)
google.com, pmc.com, doceree.com, yourbow.com, audienciad.com, onlinemediasolutions.com, advibe.media, aps.amazon.com, getmediamx.com, onomagic.com

Reseller Advertisers (38)
conversantmedia.com, rubiconproject.com, pubmatic.com, appnexus.com, openx.com, smartadserver.com, lijit.com, sharethrough.com, video.unrulymedia.com, google.com, yahoo.com, triplelift.com, onetag.com, sonobi.com, contextweb.com, 33across.com, indexexchange.com, media.net, themediagrid.com, adform.com, richaudience.com, sovrn.com, improvedigital.com, freewheel.tv, smaato.com, yieldmo.com, amxrtb.com, adyoulike.com, adpone.com, criteo.com, smilewanted.com, 152media.info, e-planning.net, smartyads.com, loopme.com, opera.com, mediafuse.com, betweendigital.com

How Much Does Nature.com Make? {πŸ’°}


Display Ads {🎯}

$63,100 per month
Our calculations suggest that Nature.com earns between $42,042 and $115,616 monthly online from display advertisements.

Keywords {πŸ”}

pubmed, article, google, scholar, cas, cancer, central, nature, sequencing, genome, human, mutations, dna, analysis, genomic, res, lung, science, alterations, gene, med, sequences, nextgeneration, sequence, somatic, parallel, mutation, meyerson, massively, data, cancers, methods, access, usa, engl, cell, content, genomes, secondgeneration, genomics, genes, number, sci, genet, bioinformatics, short, samples, detection, large, copy,

Topics {βœ’οΈ}

receives research support permissions reprints privacy policy nature portfolio author information authors advertising open label stacey gabrielΒ &Β gad getz formalin-fixed paraffin-embedded specimens social media cancer-specific high-throughput annotation author correspondence development paired-end short reads library-free resequencing paired-end transcriptome sequencing short color-space reads detect break points drug-sensitive fgfr2 mutations short sequence-derived tags snvmix samtools varscan pindel soap2 shrimp bfast circos sequence alignment/map format abstract cancers k-ras mutation analysis array cgh data small-cell lung cancer genome amplification-induced bias somatic copy-number alteration springerlink instant access references 52–54 jumping library library construction sequence-based computational subtraction circulating lung-cancer cells acute lymphoblastic leukaemia paraffin-embedded tissues national cancer institute including nucleotide substitutions single cancer type accurate long-read alignment large series massively parallel sequencing human glioblastoma multiforme

Questions {❓}

  • The isolation of nucleic acids from fixed, paraffin-embedded tissues-which methods are useful when?

Schema {πŸ—ΊοΈ}

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         description: Cancer is fundamentally a disease of the genome and so high-throughput sequencing technologies offer great potential for improving our understanding of the biology and treatment of cancer. Experimental strategies, computational approaches and cancer-specific considerations for detecting different types of genomic alterations are discussed. Cancers are caused by the accumulation of genomic alterations. Therefore, analyses of cancer genome sequences and structures provide insights for understanding cancer biology, diagnosis and therapy. The application of second-generation DNA sequencing technologies (also known as next-generation sequencing) Ҁ” through whole-genome, whole-exome and whole-transcriptome approaches Ҁ” is allowing substantial advances in cancer genomics. These methods are facilitating an increase in the efficiency and resolution of detection of each of the principal types of somatic cancer genome alterations, including nucleotide substitutions, small insertions and deletions, copy number alterations, chromosomal rearrangements and microbial infections. This Review focuses on the methodological considerations for characterizing somatic genome alterations in cancer and the future prospects for these approaches.
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      headline:Advances in understanding cancer genomes through second-generation sequencing
      description: Cancer is fundamentally a disease of the genome and so high-throughput sequencing technologies offer great potential for improving our understanding of the biology and treatment of cancer. Experimental strategies, computational approaches and cancer-specific considerations for detecting different types of genomic alterations are discussed. Cancers are caused by the accumulation of genomic alterations. Therefore, analyses of cancer genome sequences and structures provide insights for understanding cancer biology, diagnosis and therapy. The application of second-generation DNA sequencing technologies (also known as next-generation sequencing) Ҁ” through whole-genome, whole-exome and whole-transcriptome approaches Ҁ” is allowing substantial advances in cancer genomics. These methods are facilitating an increase in the efficiency and resolution of detection of each of the principal types of somatic cancer genome alterations, including nucleotide substitutions, small insertions and deletions, copy number alterations, chromosomal rearrangements and microbial infections. This Review focuses on the methodological considerations for characterizing somatic genome alterations in cancer and the future prospects for these approaches.
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