IP Verse

Method For Detecting Chromosomal Structural Abnormalities And Device Therefor - EP2998407

The patent EP2998407 was granted to BGI Genomics on Nov 30, 2022. The application was originally filed on May 15, 2013 under application number EP13884613A. The patent is currently recorded with a legal status of "Patent Maintained As Amended".

EP2998407

BGI GENOMICS
Application Number
EP13884613A
Filing Date
May 15, 2013
Status
Patent Maintained As Amended
Oct 28, 2022
Grant Date
Nov 30, 2022
External Links
Slate, Register, Google Patents

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JAMES POOLESep 4, 2020COOLEY UKADMISSIBLE

Patent Citations (6) New

Patent citations refer to prior patents cited during different phases such as opposition or international search.

Citation PhasePublication NumberPublication Link
INTERNATIONAL-SEARCH-REPORTCN101561845
INTERNATIONAL-SEARCH-REPORTCN101914628
INTERNATIONAL-SEARCH-REPORTCN102409099
INTERNATIONAL-SEARCH-REPORTCN102789553
INTERNATIONAL-SEARCH-REPORTWO2012097474
SEARCHWO2011143231

Non-Patent Literature (NPL) Citations (16) New

NPL citations refer to non-patent references such as research papers, articles, or other publications cited during examination or opposition phases.

Citation PhaseReference TextLink
OPPOSITION- CHEN et al., "BreakDancer: An algorithm for high resolution mapping of genomic structural variation", Nat Methods, (20090000), vol. 6, no. 9, pages 677 - 681-
OPPOSITION- Matthew Hayes;Jing Li, "Bellerophon: a hybrid method for detecting interchromo-somal rearrangements at base pair resolution using next-generation sequencing data", BMC Bioinformatics, (20130410), vol. 14, no. Suppl 5, page S6-
OPPOSITION- KOBOLDT et al., "Massively Parallel Sequencing Approaches for Characterisation of Structural Variation", Methods Mol Biol., (20120000), vol. 838, doi:10.1007/978-1-61779-507-7_18, pages 369 - 384, XP009184055
OPPOSITION- TALKOWSKI et al., "Next-Generation Sequencing Strategies Enable Routine Detection of Balanced Chromosome Rearrangements for Clinical Diagnostics and Genetic Research", Am J Hum Genet., (20110000), vol. 88, no. 4, doi:10.1016/j.ajhg.2011.03.013, pages 469 - 81, XP028195310
OPPOSITION- CHEN et al., "BreakDancer: An algorithm for high resolution mapping of genomic structural variation", Nat Methods, (20090000), vol. 6, no. 9, doi:10.1038/nmeth.1363, pages 677 - 681, XP055187155
OPPOSITION- Paul Medvedev, Monica Stanciu, Michael Brudno, "Computational methods for discovering structural variation with next-generation sequencing", Nature Methods, Nature Pub. Group, (20091101), vol. 6, no. 11s, doi:10.1038/nmeth.1374, ISSN 15487091, pages S13 - S20, XP055065779
OPPOSITION- ALKAN et al., "Genome structural variation discovery and genotyping", Nat Rev Genet., (20110000), vol. 12, no. 5, doi:10.1038/nrg2958, pages 363 - 376, XP055494818
OPPOSITION- Sindi S., Helman E., Bashir A., Raphael B. J., "A geometric approach for classification and comparison of structural variants", Bioinformatics, Oxford university press , Surrey, GB, GB , (20090615), vol. 25, no. 12, doi:10.1093/bioinformatics/btp208, ISSN 1367-4803, pages i222 - i230, XP055879671
OPPOSITION- RAUSCH et al., "DELLY: structural variant discovery by integrated paired-end and slit-read analysis", Bioinformatics, (20120000), vol. 28, no. 18, doi:10.1093/bioinformatics/bts378, pages i333 - i339, XP055340997
OPPOSITION- Quinlan A. R et al, "Genome-wide mapping and assembly of structural variant breakpoints in the mouse genome", Genome Research, Cold Spring Harbor Laboratory Press, US, US , (20100501), vol. 20, no. 5, doi:10.1101/gr.102970.109, ISSN 1088-9051, pages 623 - 635, XP055792414
OPPOSITION- Matthew Hayes;Jing Li, "Bellerophon: a hybrid method for detecting interchromo-somal rearrangements at base pair resolution using next-generation sequencing data", BMC Bioinformatics, Biomed central , London, GB, GB , (20130410), vol. 14, no. Suppl 5, doi:10.1186/1471-2105-14-S5-S6, ISSN 1471-2105, page S6, XP021146346
OPPOSITION- KORBEL et al., "PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data", Genome Biol., (20090000), vol. 10, no. 2, doi:10.1186/gb-2009-10-2-r23, page 23, XP021053571
OPPOSITION- DALTON et al., "Clustering Algorithms: On Learning, Validation, Performance, and Applications to Genomics", Curr Genomics, (20090000), vol. 10, no. 6, doi:10.2174/138920209789177601, pages 430 - 445, XP009145894
SEARCH- MICHAELE TALKOWSKI ET AL, "Next-Generation Sequencing Strategies Enable Routine Detection of Balanced Chromosome Rearrangements for Clinical Diagnostics and Genetic Research", AMERICAN JOURNAL OF HUMAN GENETICS, AMERICAN SOCIETY OF HUMAN GENETICS, CHICAGO, IL, US, vol. 88, no. 4, doi:10.1016/J.AJHG.2011.03.013, ISSN 0002-9297, (20110317), pages 469 - 481, (20110323), XP028195310 [I] 1-14 * whole doc, in particular title, p. 472, left col. p. 476, left col. fig.2 *
SEARCH- HALEY J. ABEL ET AL, "Detection of structural DNA variation from next generation sequencing data: a review of informatic approaches", CANCER GENETICS, AMSTERDAM, NL, (20131201), vol. 206, no. 12, doi:10.1016/j.cancergen.2013.11.002, ISSN 2210-7762, pages 432 - 440, XP055324335 [IP] 1-14 * the whole document *
SEARCH- SUZANNE S SINDI ET AL, "An integrative probabilistic model for identification of structural variation in sequencing data", GENOME BIOLOGY, BIOMED CENTRAL LTD., LONDON, GB, (20120327), vol. 13, no. 3, doi:10.1186/GB-2012-13-3-R22, ISSN 1465-6906, page R22, XP021133981 [I] 1-14 * whole doc, in particular abstract, fig.1 and p. 17, materials and methods *

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