Here's how NCBI.NLM.NIH.GOV makes money* and how much!

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NCBI . NLM . NIH . GOV {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Ncbi.nlm.nih.gov Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Social Networks
  10. External Links
  11. Analytics And Tracking
  12. Libraries
  13. Hosting Providers
  14. CDN Services

We began analyzing https://pmc.ncbi.nlm.nih.gov/articles/PMC3111315/, but it redirected us to https://pmc.ncbi.nlm.nih.gov/articles/PMC3111315/. The analysis below is for the second page.

Title[redir]:
Detection and quantification of rare mutations with massively parallel sequencing - PMC
Description:
The identification of mutations that are present in a small fraction of DNA templates is essential for progress in several areas of biomedical research. Although massively parallel sequencing instruments are in principle well suited to this task, ...

Matching Content Categories {📚}

  • Science
  • Education
  • Books & Literature

Content Management System {📝}

What CMS is ncbi.nlm.nih.gov built with?

Custom-built

No common CMS systems were detected on Ncbi.nlm.nih.gov, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of ncbi.nlm.nih.gov 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.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Ncbi.nlm.nih.gov Make Money? {💸}

We don't see any clear sign of profit-making.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Ncbi.nlm.nih.gov might have a hidden revenue stream, but it's not something we can detect.

Keywords {🔍}

doi, dna, safeseqs, pubmed, google, scholar, mutations, sequencing, uid, pcr, pmc, analysis, article, fig, free, mutation, polymerase, base, number, errors, error, methods, uids, table, template, cells, identified, primers, conventional, data, human, templates, amplification, normal, sequences, mutationsbp, supermutants, rate, families, fidelity, cancer, assignment, analyzed, illumina, oligonucleotides, experiments, molecules, detection, fragments, family,

Topics {✒️}

high-quality base pairs single-strand dna-specific nuclease org/lookup/suppl/doi pmc beta search high-stringency base calling bar-coded multiplexed sequencing reduce false-positive calls high-throughput molecular analysis high-quality reads occasional single-base deletions klenow-fragment polymerase share high-throughput dna sequencing 7e-07  safe-seqs analysis high-throughput pyrosequencing double-stranded template molecule 6e-05  safe-seqs analysis 4e-05  safe-seqs analysis improved base-calling algorithms double-stranded dna fragment reduce false-positive mutations nominal mutant/normal fractions 36-base paired-end sequencing stringent base-calling criteria permitting solid-phase amplification real-time dna sequencing single strand-specific exonuclease high-fidelity gene synthesis residual base-calling errors y-shaped adapters short read lengths high-throughput discovery single-base substitutions represented false positives supporting information online publisher site pdf human genome variation subgenomes enables resequencing single-nucleotide polymorphisms single-nucleotide differences forward amplicon-specific primers massively parallel sequencing independent safe-seqs experiments sequence-verified dna identified supplementary materials included standard illumina protocols high error rate strong evidence supporting filter-based hybridization capture large-scale sample multiplexing double-stranded template

Questions {❓}

  • Digital PCR: A powerful new tool for noninvasive prenatal diagnosis?
  • Does Safe-SeqS preserve the ratio of mutant:normal sequences in the original templates?
  • How do we know that the mutations identified by conventional analyses in the current study represent artifacts rather than true mutations in the original templates?

Social Networks {👍}(6)

External Links {🔗}(122)

Analytics and Tracking {📊}

  • Google Analytics
  • Google Analytics 4
  • Google Tag Manager

Libraries {📚}

  • jQuery
  • jQuery module (jquery-3.6.0)
  • Zoom.js

Emails and Hosting {✉️}

Mail Servers:

  • nihcesxway.hub.nih.gov
  • nihcesxway2.hub.nih.gov
  • nihcesxway3.hub.nih.gov
  • nihcesxway4.hub.nih.gov
  • nihcesxway5.hub.nih.gov

Name Servers:

  • dns1-ncbi.ncbi.nlm.nih.gov
  • dns2-ncbi.ncbi.nlm.nih.gov
  • lhcns1.nlm.nih.gov
  • lhcns2.nlm.nih.gov

CDN Services {📦}

  • Ncbi

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