ALGORITHMS FOR SEQUENCE DETERMINATION
    4.
    发明申请
    ALGORITHMS FOR SEQUENCE DETERMINATION 审中-公开
    用于序列确定的算法

    公开(公告)号:WO2010059235A3

    公开(公告)日:2010-08-19

    申请号:PCT/US2009006224

    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。

    METHODS AND SYSTEMS FOR THE ANALYSIS OF BIOLOGICAL SEQUENCE DATA

    公开(公告)号:WO2004113557A3

    公开(公告)日:2004-12-29

    申请号:PCT/US2004/019429

    申请日:2004-06-18

    Abstract: Nucleic acid sequence determination is a method whereby peaks in data traces representing the detection of labeled nucleotides are classified as either noise or specific nucleotides. Embodiments are described herein that formulate this classification as a graph theory problem whereby graph edges encode peak characteristics. The graph can then be traversed to find the shortest path. Various embodiments formulate the graph in such a way as to minimize computational time. In various cases it is desirable that such classification allow for the possibility of mixed bases in the nucleotide sequence. Embodiments are described herein that address the classification of mixed-bases. Embodiments are also described that detail methods and systems for processing the data in order to make the classification step robust and reliable.

    METHODS AND SYSTEMS FOR THE ANALYSIS OF BIOLOGICAL SEQUENCE DATA
    10.
    发明申请
    METHODS AND SYSTEMS FOR THE ANALYSIS OF BIOLOGICAL SEQUENCE DATA 审中-公开
    生物序列数据分析的方法和系统

    公开(公告)号:WO2004113557A2

    公开(公告)日:2004-12-29

    申请号:PCT/US2004/019429

    申请日:2004-06-18

    CPC classification number: G06F19/22 G01N27/44721 G06F19/24

    Abstract: Nucleic acid sequence determination is a method whereby peaks in data traces representing the detection of labeled nucleotides are classified as either noise or specific nucleotides. Embodiments are described herein that formulate this classification as a graph theory problem whereby graph edges encode peak characteristics. The graph can then be traversed to find the shortest path. Various embodiments formulate the graph in such a way as to minimize computational time. In various cases it is desirable that such classification allow for the possibility of mixed bases in the nucleotide sequence. Embodiments are described herein that address the classification of mixed-bases. Embodiments are also described that detail methods and systems for processing the data in order to make the classification step robust and reliable.

    Abstract translation: 核酸序列测定是一种方法,其中代表标记核苷酸检测的数据踪迹中的峰被分类为噪声或特定核苷酸。 本文描述了将该分类制定为图论的问题,其中图形边缘编码峰值特性。 然后可以遍历该图以找到最短路径。 各种实施例以最小化计算时间的方式来制定图形。 在各种情况下,希望这种分类允许在核苷酸序列中混合碱基的可能性。 本文描述了解决混合基底的分类的实施例。 还描述了用于处理数据以便使分类步骤稳健和可靠的详细方法和系统的实施例。

Patent Agency Ranking