Here's how BENJJNEB.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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BENJJNEB . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Benjjneb.github.io Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Social Networks
  10. External Links
  11. Libraries

We are analyzing https://benjjneb.github.io/dada2/.

Title:
DADA2: Fast and accurate sample inference from amplicon data with single-nucleotide resolution
Description:
No description found...
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Technology & Computing
  • Careers
  • Education

Content Management System {📝}

What CMS is benjjneb.github.io built with?

Website use pandoc.

Traffic Estimate {📈}

What is the average monthly size of benjjneb.github.io audience?

🚄 Respectable Traffic: 10k - 20k visitors per month


Based on our best estimate, this website will receive around 10,019 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 Benjjneb.github.io Make Money? {💸}

We can't figure out the monetization strategy.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Benjjneb.github.io might have a hidden revenue stream, but it's not something we can detect.

Keywords {🔍}

dada, data, version, methods, sample, amplicon, exact, sequences, install, release, workflow, sequence, variants, accuracy, otus, error, model, resolution, bioconductor, development, sequencing, asvs, datasets, benchmarking, scaling, feature, tracker, samples, dot, tutorial, big, documentation, support, installation, current, identifies, assigning, advantages, recent, paper, infers, differences, reports, false, compared, pooled, computational, number, issues, problems,

Topics {✒️}

apple m1/m2 chips exact sequence variants verifiably removes primers key step due error model manuscript introducing dada2 greatest development version dada2 workflow identifies accurate sample inference de novo otus mock community datasets single-nucleotide resolution source installation instructions big data resolving biological differences dada2 tutorial computational scaling gains documentation license current release version amplicon data bug reports sample number open source infers sequences variable length dada2 workflow exact sequences computational scaling sample independently installation binaries current release pooled data constructing otus large datasets feature request previous datasets sequencing protocols linear scaling typical workflow workflow optimized specific version lgpl version 3 arm architectures release notes quietly = true earlier versions tutorials start short demonstrations assigning taxonomy assigning species

Questions {❓}

Social Networks {👍}(1)

Libraries {📚}

  • Bootstrap
  • FontAwesome
  • jQuery

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