Next generation sequencing: a short comparison1
During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bio...
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| Autor*in: |
Stangier, Kerstin A. [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Erschienen: |
Walter de Gruyter ; 2009 |
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| Schlagwörter: |
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| Anmerkung: |
©2009 by Walter de Gruyter Berlin New York |
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| Reproduktion: |
Walter de Gruyter Online Zeitschriften |
|---|---|
| Übergeordnetes Werk: |
Enthalten in: Laboratoriumsmedizin - Berlin [u.a.] : de Gruyter, 1977, 33(2009), 5 vom: 25. Sept., Seite --- |
| Übergeordnetes Werk: |
volume:33 ; year:2009 ; number:5 ; day:25 ; month:09 ; pages:--- |
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| DOI / URN: |
10.1515/JLM.2009.044et |
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| 520 | |a During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. | ||
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10.1515/JLM.2009.044et doi artikel_Grundlieferung.pp (DE-627)NLEJ247096938 DE-627 ger DE-627 rakwb Stangier, Kerstin A. verfasserin aut Next generation sequencing: a short comparison1 Walter de Gruyter 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ©2009 by Walter de Gruyter Berlin New York During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. Walter de Gruyter Online Zeitschriften bioinformatics read length next-generation sequencer Enthalten in Laboratoriumsmedizin Berlin [u.a.] : de Gruyter, 1977 33(2009), 5 vom: 25. Sept., Seite --- (DE-627)NLEJ248236334 (DE-600)2081704-6 1439-0477 nnns volume:33 year:2009 number:5 day:25 month:09 pages:--- https://doi.org/10.1515/JLM.2009.044et Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 33 2009 5 25 09 --- |
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10.1515/JLM.2009.044et doi artikel_Grundlieferung.pp (DE-627)NLEJ247096938 DE-627 ger DE-627 rakwb Stangier, Kerstin A. verfasserin aut Next generation sequencing: a short comparison1 Walter de Gruyter 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ©2009 by Walter de Gruyter Berlin New York During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. Walter de Gruyter Online Zeitschriften bioinformatics read length next-generation sequencer Enthalten in Laboratoriumsmedizin Berlin [u.a.] : de Gruyter, 1977 33(2009), 5 vom: 25. Sept., Seite --- (DE-627)NLEJ248236334 (DE-600)2081704-6 1439-0477 nnns volume:33 year:2009 number:5 day:25 month:09 pages:--- https://doi.org/10.1515/JLM.2009.044et Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 33 2009 5 25 09 --- |
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10.1515/JLM.2009.044et doi artikel_Grundlieferung.pp (DE-627)NLEJ247096938 DE-627 ger DE-627 rakwb Stangier, Kerstin A. verfasserin aut Next generation sequencing: a short comparison1 Walter de Gruyter 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ©2009 by Walter de Gruyter Berlin New York During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. Walter de Gruyter Online Zeitschriften bioinformatics read length next-generation sequencer Enthalten in Laboratoriumsmedizin Berlin [u.a.] : de Gruyter, 1977 33(2009), 5 vom: 25. Sept., Seite --- (DE-627)NLEJ248236334 (DE-600)2081704-6 1439-0477 nnns volume:33 year:2009 number:5 day:25 month:09 pages:--- https://doi.org/10.1515/JLM.2009.044et Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 33 2009 5 25 09 --- |
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10.1515/JLM.2009.044et doi artikel_Grundlieferung.pp (DE-627)NLEJ247096938 DE-627 ger DE-627 rakwb Stangier, Kerstin A. verfasserin aut Next generation sequencing: a short comparison1 Walter de Gruyter 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ©2009 by Walter de Gruyter Berlin New York During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. Walter de Gruyter Online Zeitschriften bioinformatics read length next-generation sequencer Enthalten in Laboratoriumsmedizin Berlin [u.a.] : de Gruyter, 1977 33(2009), 5 vom: 25. Sept., Seite --- (DE-627)NLEJ248236334 (DE-600)2081704-6 1439-0477 nnns volume:33 year:2009 number:5 day:25 month:09 pages:--- https://doi.org/10.1515/JLM.2009.044et Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 33 2009 5 25 09 --- |
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10.1515/JLM.2009.044et doi artikel_Grundlieferung.pp (DE-627)NLEJ247096938 DE-627 ger DE-627 rakwb Stangier, Kerstin A. verfasserin aut Next generation sequencing: a short comparison1 Walter de Gruyter 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier ©2009 by Walter de Gruyter Berlin New York During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. Walter de Gruyter Online Zeitschriften bioinformatics read length next-generation sequencer Enthalten in Laboratoriumsmedizin Berlin [u.a.] : de Gruyter, 1977 33(2009), 5 vom: 25. Sept., Seite --- (DE-627)NLEJ248236334 (DE-600)2081704-6 1439-0477 nnns volume:33 year:2009 number:5 day:25 month:09 pages:--- https://doi.org/10.1515/JLM.2009.044et Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 33 2009 5 25 09 --- |
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During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. ©2009 by Walter de Gruyter Berlin New York |
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During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. ©2009 by Walter de Gruyter Berlin New York |
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During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools. ©2009 by Walter de Gruyter Berlin New York |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ247096938</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220820030213.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220814s2009 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/JLM.2009.044et</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">artikel_Grundlieferung.pp</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ247096938</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Stangier, Kerstin A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Next generation sequencing: a short comparison1</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">Walter de Gruyter</subfield><subfield code="c">2009</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">©2009 by Walter de Gruyter Berlin New York</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">During the last 3 years the sequencing market has completely changed. New technologies in the so-called next-generation sequencers can produce gigabases of sequence raw data in only a few days. In the past, data production represented the greatest cost factor in a sequencing project. At present, bioinformatic analysis represents a challenge. The main difference between technologies in influencing bioinformatic analysis is the read length. The classical Sanger system produces a read length of up to 1100 bases, whereas that of next-generation instruments is 250–400 bases (Roche/454 GS FLX sequencer) or 50–100 bases (Illumina/Solexa Genome Analyzer; Applied Biosystems SOLiD). To ensure the success of a sequencing project and to maximize the information obtained, it is necessary to choose optimal next-generation technology or a combination of technologies followed by bioinformatic analysis in a sequential approach using state-of-the-art analysis tools.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Walter de Gruyter Online Zeitschriften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bioinformatics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">read length</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">next-generation sequencer</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Laboratoriumsmedizin</subfield><subfield code="d">Berlin [u.a.] : de Gruyter, 1977</subfield><subfield code="g">33(2009), 5 vom: 25. Sept., Seite ---</subfield><subfield code="w">(DE-627)NLEJ248236334</subfield><subfield code="w">(DE-600)2081704-6</subfield><subfield code="x">1439-0477</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:33</subfield><subfield code="g">year:2009</subfield><subfield code="g">number:5</subfield><subfield code="g">day:25</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:---</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/JLM.2009.044et</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DGR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">33</subfield><subfield code="j">2009</subfield><subfield code="e">5</subfield><subfield code="b">25</subfield><subfield code="c">09</subfield><subfield code="h">---</subfield></datafield></record></collection>
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