Algorithms for sequence determination
    11.
    发明授权
    Algorithms for sequence determination 有权
    序列确定算法

    公开(公告)号:US08370079B2

    公开(公告)日:2013-02-05

    申请号:US12592284

    申请日:2009-11-20

    CPC classification number: G06F19/22

    Abstract: The present invention is generally directed to powerful and flexible methods and systems for consensus sequence determination from replicate biomolecule sequence data. It is an object of the present invention to improve the accuracy of consensus biomolecule sequence determination from replicate sequence data by providing methods for assimilating replicate sequence into a final consensus sequence more accurately than any one-pass sequence analysis system.

    Abstract translation: 本发明通常涉及用于从复制生物分子序列数据进行共有序列确定的强大且灵活的方法和系统。 本发明的目的是通过提供比任何一次序列分析系统更准确地将重复序列同化到最终共有序列中的方法来提高从重复序列数据确定共有生物分子序列的准确性。

    Algorithms for sequence determination
    13.
    发明申请
    Algorithms for sequence determination 有权
    序列确定算法

    公开(公告)号:US20100169026A1

    公开(公告)日:2010-07-01

    申请号:US12592284

    申请日:2009-11-20

    CPC classification number: G06F19/22

    Abstract: The present invention is generally directed to powerful and flexible methods and systems for consensus sequence determination from replicate biomolecule sequence data. It is an object of the present invention to improve the accuracy of consensus biomolecule sequence determination from replicate sequence data by providing methods for assimilating replicate sequence into a final consensus sequence more accurately than any one-pass sequence analysis system.

    Abstract translation: 本发明通常涉及用于从复制生物分子序列数据进行共有序列确定的强大且灵活的方法和系统。 本发明的目的是通过提供比任何一次序列分析系统更准确地将重复序列同化到最终共有序列中的方法来提高从重复序列数据确定共有生物分子序列的准确性。

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