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  6. Keywords
  7. Topics
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We are analyzing https://link.springer.com/article/10.1186/s12859-014-0356-4.

Title:
ANGSD: Analysis of Next Generation Sequencing Data | BMC Bioinformatics
Description:
Background High-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously. Results We present a multithreaded program suite called ANGSD. This program can calculate various summary statistics, and perform association mapping and population genetic analyses utilizing the full information in next generation sequencing data by working directly on the raw sequencing data or by using genotype likelihoods. Conclusions The open source c/c++ program ANGSD is available at http://www.popgen.dk/angsd . The program is tested and validated on GNU/Linux systems. The program facilitates multiple input formats including BAM and imputed beagle genotype probability files. The program allow the user to choose between combinations of existing methods and can perform analysis that is not implemented elsewhere.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {πŸ“š}

  • Education
  • Telecommunications
  • Science

Content Management System {πŸ“}

What CMS is link.springer.com built with?

Custom-built

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

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of link.springer.com audience?

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


Based on our best estimate, this website will receive around 7,626,932 visitors per month in the current month.

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How Does Link.springer.com Make Money? {πŸ’Έ}

The income method remains a mystery to us.

Not every website is profit-driven; some are created to spread information or serve as an online presence. Websites can be made for many reasons. This could be one of them. Link.springer.com has a revenue plan, but it's either invisible or we haven't found it.

Keywords {πŸ”}

data, angsd, genotype, pubmed, article, analyses, sequencing, file, allele, figure, frequency, google, scholar, analysis, methods, based, samtools, gatk, central, population, cas, snp, sample, calling, likelihood, additional, model, information, genotypes, sites, site, samples, genome, quality, estimated, authors, likelihoods, bioinformatics, albrechtsen, error, individuals, nature, baq, nielsen, program, gls, estimation, table, original, called,

Topics {βœ’οΈ}

/nature/journal/v467/n7319/full/nature09534 article download pdf reduces false-positive associations genome-wide association studies thorfinn sand korneliussen /goldenpath/hg19/multiz46way/maf accurate genotype/haplotype inference high-coverage genome sequence abba-baba/d-statistic [18] abba-baba d-statistic [18] site-wise association testing centromeric/telomeric regions defined low-coverage sequencing data performing association studies privacy choices/manage cookies estimating inbreeding coefficients short dna sequences joint frequency spectrum association studies based genetic informational network genomic start position bcf/vcf files open access license joint allele frequency genotype likelihoods input open source mutithreaded population genetic inferences proper simulation study sample allele frequency site frequency spectrum site-frequency spectrum assuming realistic recombination authors’ original file abba-baba test medium coverage data association mapping utilizing project home page population genetic analyses article korneliussen high call rates generation sequencing data generation sequencing data short read alignment sequencing error rates population allele frequency multiz46way dataset sync table 3 d-stat raw sequencing files genotype likelihood model population-scale sequencing

Schema {πŸ—ΊοΈ}

WebPage:
      mainEntity:
         headline:ANGSD: Analysis of Next Generation Sequencing Data
         description:High-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously. We present a multithreaded program suite called ANGSD. This program can calculate various summary statistics, and perform association mapping and population genetic analyses utilizing the full information in next generation sequencing data by working directly on the raw sequencing data or by using genotype likelihoods. The open source c/c++ program ANGSD is available at http://www.popgen.dk/angsd . The program is tested and validated on GNU/Linux systems. The program facilitates multiple input formats including BAM and imputed beagle genotype probability files. The program allow the user to choose between combinations of existing methods and can perform analysis that is not implemented elsewhere.
         datePublished:2014-11-25T00:00:00Z
         dateModified:2014-11-25T00:00:00Z
         pageStart:1
         pageEnd:13
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s12859-014-0356-4
         keywords:
            Next-generation sequencing
            Bioinformatics
            Population genetics
            Association studies
            Microarrays
            Computational Biology/Bioinformatics
            Computer Appl. in Life Sciences
            Algorithms
         image:
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         isPartOf:
            name:BMC Bioinformatics
            issn:
               1471-2105
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            type:
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               type:ImageObject
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         author:
               name:Thorfinn Sand Korneliussen
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                     name:Centre for GeoGenetics, Natural History Museum of Denmark
                     address:
                        name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
                        type:PostalAddress
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               name:Anders Albrechtsen
               affiliation:
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                     address:
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                        type:PostalAddress
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               name:Rasmus Nielsen
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                     name:Centre for GeoGenetics, Natural History Museum of Denmark
                     address:
                        name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
                        type:PostalAddress
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                     name:UC-Berkeley
                     address:
                        name:Department of Integrative Biology and Statistics, UC-Berkeley, Berkeley, USA
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ScholarlyArticle:
      headline:ANGSD: Analysis of Next Generation Sequencing Data
      description:High-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously. We present a multithreaded program suite called ANGSD. This program can calculate various summary statistics, and perform association mapping and population genetic analyses utilizing the full information in next generation sequencing data by working directly on the raw sequencing data or by using genotype likelihoods. The open source c/c++ program ANGSD is available at http://www.popgen.dk/angsd . The program is tested and validated on GNU/Linux systems. The program facilitates multiple input formats including BAM and imputed beagle genotype probability files. The program allow the user to choose between combinations of existing methods and can perform analysis that is not implemented elsewhere.
      datePublished:2014-11-25T00:00:00Z
      dateModified:2014-11-25T00:00:00Z
      pageStart:1
      pageEnd:13
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s12859-014-0356-4
      keywords:
         Next-generation sequencing
         Bioinformatics
         Population genetics
         Association studies
         Microarrays
         Computational Biology/Bioinformatics
         Computer Appl. in Life Sciences
         Algorithms
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fs12859-014-0356-4/MediaObjects/12859_2014_Article_356_Fig1_HTML.jpg
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            1471-2105
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         name:BioMed Central
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Thorfinn Sand Korneliussen
            affiliation:
                  name:Centre for GeoGenetics, Natural History Museum of Denmark
                  address:
                     name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            name:Anders Albrechtsen
            affiliation:
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                  address:
                     name:Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Rasmus Nielsen
            affiliation:
                  name:Centre for GeoGenetics, Natural History Museum of Denmark
                  address:
                     name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
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                  name:UC-Berkeley
                  address:
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         name:Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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      name:Centre for GeoGenetics, Natural History Museum of Denmark
      address:
         name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
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         name:Department of Integrative Biology and Statistics, UC-Berkeley, Berkeley, USA
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      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Thorfinn Sand Korneliussen
      affiliation:
            name:Centre for GeoGenetics, Natural History Museum of Denmark
            address:
               name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Anders Albrechtsen
      affiliation:
            name:University of Copenhagen
            address:
               name:Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
               type:PostalAddress
            type:Organization
      name:Rasmus Nielsen
      affiliation:
            name:Centre for GeoGenetics, Natural History Museum of Denmark
            address:
               name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
               type:PostalAddress
            type:Organization
            name:UC-Berkeley
            address:
               name:Department of Integrative Biology and Statistics, UC-Berkeley, Berkeley, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
      name:Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
      name:Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
      name:Department of Integrative Biology and Statistics, UC-Berkeley, Berkeley, USA

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