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Blood Cancer Journal, 12/2017, Volume 7, Issue 12
Journal Article
Bioinformatics, ISSN 1367-4803, 05/2012, Volume 28, Issue 10, pp. 1307 - 1313
Results: We present a method for CNV detection for TR data, including whole-exome capture data. Our method calls copy number gains and losses for each target... 
ACCURATE | GENE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | FRAMEWORK | SEQUENCING DATA | IDENTIFICATION | CANCER | CAPTURE | Exome | Animals | HapMap Project | Computer Simulation | Humans | Mice | Software | Sequence Analysis, DNA | DNA Copy Number Variations | Index Medicus | Original Papers
Journal Article
Journal Article
Journal Article
by Easton, Douglas F and Lesueur, Fabienne and Decker, Brennan and Michailidou, Kyriaki and Li, Jun and Allen, Jamie and Luccarini, Craig and Pooley, Karen and Shah, Mitul and Bolla, Manjeet and Wang, Qin and Dennis, Joe and Ahmad, Jamil and Thompson, Ella and Damiola, Francesca and Pertesi, Maroulio and Voegele, Catherine and Mebirouk, Noura and Robinot, Nivonirina and Durand, Geoffroy and Forey, Nathalie and Luben, Robert and Ahmed, Shahana and Aittomäki, Kristiina and Anton-Culver, Hoda and Arndt, Volker and Baynes, Caroline and Beckman, Matthias W and Benítez, Javier and Van Den Berg, David and Blot, William and Bogdanova, Natalia and Bojesen, Stig and Brenner, Hermann and Chang-Claude, Jenny and Chia, Kee Seng and Choi, Ji-Yeob and Conroy, Don and Cox, Angela and Cross, Simon S and Czene, Kamila and Darabi, Hatef and Devilee, Peter and Eriksson, Mats and Fasching, Peter and Figueroa, Jonine and Flyger, Henrik and Fostira, Florentia and García-Closas, Montserrat and Giles, Graham and Glendon, Gord and González-Neira, Anna and Guénel, Pascal and Haiman, Christopher A and Hall, Per and Hart, Steven N and Hartman, Joost and Hooning, Maartje and Hsiung, Chia-Ni and Ito, Hidemi and Jakubowska, Anna and James, Paul A and John, Esther M and Johnson, Nichola and Jones, Michael and Kabisch, Maria and Kang, Daehee and Kosma, Veli-Matti and Kristensen, Vessela and Lambrechts, Diether and Li, Na and Myöhänen, Eija and Kemiläinen, Helena and Lindblom, Annika and Long, Jirong and Lophatananon, Artitaya and Lubinski, Jan and Mannermaa, Arto and Matsuo, Keitaro and Margolin, Sara and Meindl, Alfons and Mitchell, Gillian and Muir, K and Nevelsteen, Ines and Ouweland, Ans and Peterlongo, Paolo and Phuah, Sze-Yee and Pykäs, Katri and Rowley, Simone M and Shen, Chen-Yang and Schmutzler, Rita and Shu, Xiao-Ou and Southey, Melissa and Surowy, Harald and Swerdlow, Anthony and Teo, S.-H and Tollenaar, Rob and Tomlinson, Ian and Vachon, Celine and Truong, Thérèse and ... and Australian Ovarian Canc Study Grp and kConFab Investigators and Lifepool Investigators and NBCS Investigators and Australian Ovarian Cancer Study Group
Journal of Medical Genetics, ISSN 0022-2593, 02/2016, Volume 53, Issue 5, pp. 298 - 309
Journal Article
Cancer Letters, ISSN 0304-3835, 2016, Volume 383, Issue 2, pp. 212 - 219
Abstract A small percentage of cancer radiotherapy patients develop abnormally severe side effects as a consequence of intrinsic radiosensitivity. We analysed... 
Hematology, Oncology and Palliative Medicine | Radiosensitivity | Predictive assays | γ-H2AX | Radiation therapy | DNA repair | Statistical criteria | STRAND BREAK REPAIR | gamma-H2AX | IRRADIATED BLOOD-LYMPHOCYTES | NORMAL TISSUE-REACTIONS | NECK-CANCER | H2AX PHOSPHORYLATION | IN-VITRO | ONCOLOGY | GAMMA-H2AX FOCI ASSAY | IONIZING-RADIATION | ATAXIA-TELANGIECTASIA | GENOME-WIDE ASSOCIATION | Neoplasms - metabolism | Humans | Middle Aged | Radiation Tolerance | DNA Repair Enzymes - genetics | Male | Radiotherapy - adverse effects | DNA Repair - genetics | Hair Follicle - pathology | Dose-Response Relationship, Drug | Radiation Injuries - genetics | Neoplasms - genetics | DNA Repair Enzymes - metabolism | Adult | Female | Neoplasms - radiotherapy | Retrospective Studies | Biomarkers - metabolism | Lymphocytes - metabolism | Radiotherapy Dosage | Severity of Illness Index | Risk Assessment | Hair Follicle - radiation effects | Risk Factors | Decision Support Techniques | Radiation Injuries - etiology | Lymphocytes - pathology | Algorithms | Hair Follicle - metabolism | Radiation Injuries - pathology | Aged | Lymphocytes - radiation effects | Histones - metabolism | Kinetics | Mutation | Neoplasms - pathology | Nonlinear Dynamics | Radiation Injuries - metabolism | Cancer patients | DNA | Radiation | Genetic research | Genetic aspects | Radiotherapy | Cancer | Analysis | Tumor proteins | Protein binding | Blood & organ donations | Toxicity | Nonlinear analysis | Regression analysis | Follicles | Cancer therapies | Patients | Studies | Side effects | Microscopy | Mathematical analysis | Lymphocytes | Peripheral blood | Irradiation | Two dimensional analysis | Repair | Deoxyribonucleic acid--DNA | Index Medicus | statistical criteria | radiosensitivity | predictive assays
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 12/2017, Volume 18, Issue 1, pp. 555 - 555
Background: High throughput sequencing requires bioinformatics pipelines to process large volumes of data into meaningful variants that can be translated into... 
Amplicon | Pipelines | Canary | PathOS | Targeted sequencing | Clinical diagnostics | Variant calling | ANNOVAR | BIOCHEMICAL RESEARCH METHODS | GENETIC-VARIANTS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | ANNOTATION | MATHEMATICAL & COMPUTATIONAL BIOLOGY | Diagnostic equipment (Medical) | Pipe lines | Index Medicus
Journal Article