The Next Generation Becomes the Now Generation
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{"title"=>"The next generation becomes the now generation", "type"=>"journal", "authors"=>[{"first_name"=>"Diego A.", "last_name"=>"Martinez", "scopus_author_id"=>"7202958664"}, {"first_name"=>"Mary Anne", "last_name"=>"Nelson", "scopus_author_id"=>"7403459711"}], "year"=>2010, "source"=>"PLoS Genetics", "identifiers"=>{"issn"=>"15537390", "pmid"=>"20386747", "scopus"=>"2-s2.0-77952388289", "doi"=>"10.1371/journal.pgen.1000906", "pui"=>"358837569", "isbn"=>"1553-7404 (Electronic)\\r1553-7390 (Linking)", "sgr"=>"77952388289"}, "id"=>"dd305a32-dc4b-385e-b2e7-f0e126ba81b3", "abstract"=>"In recent years, several so-called next-generation DNA sequencing platforms have begun to challenge the well-established Sanger sequencing method. In two important ways-cost and speed-these next-gen technologies provide improvements over Sanger sequencing. Several technical drawbacks (short read length, lack of paired end reads, and quality problems, particularly with homonucleotide stretches 1), however, render assembly difficult and limit the use of post-Sanger sequencing. These obstacles limited the effective use of next-generation sequencing to the sequencing of prokaryotes 2, the resequencing of individuals 3, and transcriptomics studies, recently termed RNA-Seq 4 and effectively precluded de novo eukaryotic sequencing. Realizing the shortcomings of next-generation technology, manufacturers have continued to improve the read length and have recently implemented paired end methods. Capitalizing on these improvements, the publication by Nowrousian et al. describes the team's success in completely bypassing Sanger sequencing to produce a de novo assembly (to draft quality) of a complete genome, that of the filamentous fungus Sordaria macrospora 5, using Solexa sequencing-by-synthesis and 454 pyrosequencing.", "link"=>"http://www.mendeley.com/research/next-generation-becomes-now-generation", "reader_count"=>146, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>14, "Researcher"=>38, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>34, "Student > Postgraduate"=>4, "Student > Master"=>14, "Other"=>12, "Student > Bachelor"=>7, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>13}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>14, "Researcher"=>38, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>34, "Student > Postgraduate"=>4, "Student > Master"=>14, "Other"=>12, "Student > Bachelor"=>7, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>13}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Engineering"=>1, "Environmental Science"=>2, "Biochemistry, Genetics and Molecular Biology"=>13, "Agricultural and Biological Sciences"=>106, "Medicine and Dentistry"=>7, "Business, Management and Accounting"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Chemistry"=>2, "Computer Science"=>6, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Chemistry"=>{"Chemistry"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>106}, "Computer Science"=>{"Computer Science"=>6}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>13}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>2}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Republic of Singapore"=>1, "United States"=>5, "Philippines"=>1, "Japan"=>1, "United Kingdom"=>1, "Canada"=>2, "Netherlands"=>1, "China"=>2, "Poland"=>1, "Denmark"=>1, "South Africa"=>3, "Mexico"=>1, "Australia"=>1, "France"=>1, "Germany"=>6}, "group_count"=>8}

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Relative Metric

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