METHODS FOR DETECTION OF FUSIONS USING COMPRESSED MOLECULAR TAGGED NUCLEIC ACID SEQUENCE DATA

    公开(公告)号:US20190087539A1

    公开(公告)日:2019-03-21

    申请号:US16136463

    申请日:2018-09-20

    Abstract: A method for compressing nucleic acid sequence data wherein each sequence read is associated with a molecular tag sequence, wherein a portion of the sequence reads alignments correspond to sequence reads mapped to a targeted fusion reference sequence includes determining a consensus sequence read for each family of sequence reads based on flow space signal measurements corresponding to the family of sequence reads, determining a consensus sequence alignment for each family of sequence reads, wherein a portion of the consensus sequence alignments correspond to the consensus sequence reads aligned with the targeted fusion reference sequence, generating a compressed data structure comprising consensus compressed data, the consensus compressed data including the consensus sequence read and the consensus sequence alignment for each family, and detecting a fusion using the consensus sequence reads and the consensus sequence alignments from the compressed data structure.

    METHODS FOR PARTNER AGNOSTIC GENE FUSION DETECTION

    公开(公告)号:US20200318175A1

    公开(公告)日:2020-10-08

    申请号:US16825238

    申请日:2020-03-20

    Abstract: A method for detecting a gene fusion includes amplifying a nucleic acid sample in the presence of primer pool to produce a plurality of amplicons. The primer pool includes primers targeting a plurality of exon-exon junctions of a driver gene. The amplicons correspond to the exon-exon junctions. The amplicons are sequenced and aligned to a reference sequence. The number of reads corresponding to each amplicon is normalized to give a normalized read count. A baseline correction is applied to the normalized read counts for the amplicons to form corrected read counts. A binary segmentation score is calculated for each corrected read count. A predicted breakpoint for the gene fusion is determined based on the amplicon index corresponding to the maximum absolute binary segmentation score. Gene fusion events may be detected in a partner agnostic manner, i.e. without prior knowledge of the specific fusion partner genes or specific breakpoint information.

Patent Agency Ranking