ISB-CGC Publications

  1. Gibbs DL, Aguilar B, Thorsson V, Ratushny AV, Shmulevich I. Patient-Specific Cell Communication Networks Associate With Disease Progression in Cancer. Frontiers in Genetics. 2021;12:1489. doi:10.3389/fgene.2021.667382.
  2. Kawther Abdilleh, Boris Aguilar, J. Ross Thomson et al. Multi-omics data integration in the Cloud: Analysis of Statistically Significant Associations Between Clinical and Molecular Features in Breast Cancer. 2020. doi: 10.1145/3388440.3414917.
  3. Boris Aguilar, Kawther Abdilleh, George Acquaah-Mensah. A tale of two cohorts: Transcriptomics and epigenomic analysis in breast cancer. 2021.
  4. Kawther Abdilleh, Boris Aguilar, Ronald C. Taylor, et al. Multi-omics data analysis in the cloud: inference of differential breast cancer-related network hubs between TCGA patient cohorts. 2021. doi: 10.7490/f1000research.1118296.1.
  5. Dondra Bailey, Kawther Abdilleh, Boris Aguilar, et al. Multi-omics characterization of Microtubule-actin cross linking factor 1 (MACF1) using the ISB-Cancer Genomics Cloud. 2020. doi: 10.1145/3388440.3414918.
  6. Kawther Abdilleh, Boris Aguilar, Ronald C. Taylor, et al. Large-scale Cloud-based Inference of Differential Breast Cancer-related Network Gene Between Patient Cohorts. 2020.
  7. Aguilar B, Gibbs DL, Reiss DJ, et al. A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma. 2020.
  8. Sheila M. Reynolds, Michael Miller, Phyliss Lee, et al. The ISB cancer genomics cloud: A flexible cloud-based platform for cancer genomics researchopens a new tab. Cancer Research. 2017. doi: 10.1158/0008-5472.CAN-17-0617.


  1. Bruford EA, Antonescu CR, Carroll AJ, et al. HUGO Gene Nomenclature Committee (HGNC) recommendations for the designation of gene fusions. Leukemia. 2021. doi: 10.1038/s41375-021-01436-6.
  2. Chebly A, Djambas Khayat C, Yammine T, et al. Pediatric M5 acute myeloid leukemia with MLL-SEPT6 fusion and a favorable outcome. Leukemia Research Reports. 2021. doi: 10.1016/j.lrr.2021.100277.
  3. Lilljebjörn H, Orsmark-Pietras C, Mitelman F, Hagström-Andersson A, et al. Transcriptomics paving the way for improved diagnostics and precision medicine of acute leukemia. Seminars in Cancer Biology. 2021. doi: 10.1016/j.semcancer.2021.09.013.
  4. Zou AYS. Adoption of Optical Genome Mapping in Clinical Cancer Cytogenetic Laboratory: A Stepwise Approach – Journal of Clinical & Anatomic Pathology (JCAP). Journal of Clinical & Anatomic Pathology. 2021.
  5. Gibbs DL, Aguilar B, Thorsson V, Ratushny AV, Shmulevich I. Patient-Specific Cell Communication Networks Associate With Disease Progression in Cancer. Frontiers in Genetics. 2021;12:1489. doi: 10.3389/fgene.2021.667382.
  6. Elmarakeby HA, Hwang J, Arafeh R, et al. Biologically informed deep neural network for prostate cancer discovery. Nature. 2021. doi: 10.1038/s41586-021-03922-4.
  7. Raghav P, Mann Z, Pandey P, et al. Systems Biology Resources and Their Applications to Understand the Cancer. 2021. doi: 10.1007/978-981-15-4501-6_140-1.
  8. Tercan B, Qin G, Kim T-K, et al. SL-Cloud: A Computational Resource to Support Synthetic Lethal Interaction Discovery. 2021. doi: 10.1101/2021.09.18.459450.
  9. Najafi A, Emami N, Samad-Soltani T, et al. Integration of Genomics Data and Electronic Health Records Toward Personalized Medicine: A Targeted Review. Frontiers in Health Informatics. 2021. doi: 10.30699/fhi.v10i1.299.
  10. Östlund D. Genomics in the Cloud. 2021.
  11. Toh C. Chromosomal scale length variations as a genetic risk score for predicting complex human diseases in large scale genomic datasets. 2021.
  12. Toh C, Brody JP. Genetic risk score for ovarian cancer based on chromosomal-scale length variation. BioData Mining. 2021. doi:10.1186/s13040-021-00253-y.
  13. Torcivia JP, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Briefings in Bioinformatics. 2021. doi:10.1093/bib/bbaa203.
  14. Ko C, Brody JP. A genetic risk score for glioblastoma multiforme based on copy number variations. Cancer Treatment and Research Communications. 2021. doi: 10.1016/j.ctarc.2021.100352.
  15. Koppad S, B A, Gkoutos GV, Acharjee A. Cloud Computing Enabled Big Multi-Omics Data Analytics. Bioinform Biol Insights. 2021. doi: 10.1177/11779322211035921.
  16. Walter W, Shahswar R, Stengel A, et al. Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia. BMC Cancer. BMC Cancer. 2021. doi: 10.1186/s12885-021-08635-5.
  17. Bernasconi A, Canakoglu A, Masseroli M, et al. The road towards data integration in human genomics: players, steps and interactions. Briefings in Bioinformatics. 2021. doi: 10.1093/bib/bbaa080.
  18. Costa D, Granada I, Espinet B, et al. Balanced and unbalanced translocations in a multicentric series of 2,843 patients with chronic lymphocytic leukemia. Genes, Chromosomes and Cancer. 2021. doi: 10.1002/gcc.22994.
  19. Miga KH, Sullivan BA. Expanding studies of chromosome structure and function in the era of T2T genomics. Human Molecular Genetics. 2021. doi: 10.1093/hmg/ddab214.
  20. Haferlach C, Walter W, Stengel A, et al. The diverse landscape of fusion transcripts in 25 different hematological entities. Leukemia & Lymphoma. 2021. doi: 10.1080/10428194.2021.1953009.
  21. Panagopoulos I, Gorunova L, Andersen K, Lobmaier I, Heim S. Several Fusion Genes Identified in a Spermatic Cord Leiomyoma With Rearrangements of Chromosome Arms 3p and 21q. Cancer Genomics & Proteomics. 2021. doi: 10.21873/cgp.20278.
  22. Lim HJ, Lee JH, Lee SY, et al. Diagnostic Validation of a Clinical Laboratory-Oriented Targeted RNA Sequencing System for Detecting Gene Fusions in Hematologic Malignancies. The Journal of Molecular Diagnostics. 2021. doi: 10.1016/j.jmoldx.2021.05.008.
  23. O’Grady N, Gibbs DL, Abdilleh K, et al. PRoBE the cloud toolkit: finding the best biomarkers of drug response within a breast cancer clinical trial. JAMIA Open. 2021. doi: 10.1093/jamiaopen/ooab038.
  24. Fedorov A, Longabaugh WJR, Pot D, et al. NCI Imaging Data Commons. Cancer Res. 2021. doi: 10.1158/0008-5472.CAN-21-0950.
  25. Peart CR, Williams C, Pophaly SD, et al. Hi-C scaffolded short- and long-read genome assemblies of the California sea lion are broadly consistent for syntenic inference across 45 million years of evolution. Molecular Ecology Resources. 2021. doi: 10.1111/1755-0998.13443.
  26. Andrew B, Attilio O, Sumit G, et al. A rare case of B cell lymphoblastic leukemia with inv(7)(p15q34) with review of literature. Leukemia Research Reports. 2021. doi: 10.1016/j.lrr.2021.100250.
  27. Funk LC, Wan J, Ryan SD, et al. p53 Is Not Required for High CIN to Induce Tumor Suppression. Mol Cancer Res. 2021. doi: 10.1158/1541-7786.MCR-20-0488.
  28. Hubert J-N, Suybeng V, Vallée M, et al. The PI3K/mTOR Pathway Is Targeted by Rare Germline Variants in Patients with Both Melanoma and Renal Cell Carcinoma. Cancers. 2021. doi: 10.3390/cancers13092243.
  29. Kim JH, Megquier K, Thomas R, et al. Genomically Complex Human Angiosarcoma and Canine Hemangiosarcoma Establish Convergent Angiogenic Transcriptional Programs Driven by Novel Gene Fusions. Mol Cancer Res. 2021. doi: 10.1158/1541-7786.MCR-20-0937.
  30. Mochão HDC. Improvement of KiMoSys framework for kinetic modelling. Published online February . 2021.
  31. Pös O, Radvanszky J, Styk J, et al. Copy Number Variation: Methods and Clinical Applications. Applied Science. 2021. doi: 10.3390/app11020819.
  32. Wang N, Yuan L, Jing Y, et al. Double minute chromosomes in acute myeloid leukemia and myelodysplastic syndromes are associated with complex karyotype, monosomal karyotype, TP53 deletion, and TP53 mutations. Leukemia & Lymphoma. 2021.
  34. Gunnarsson R, Yang M, Olsson-Arvidsson L, et al. Single base substitution mutational signatures in pediatric acute myeloid leukemia based on whole genome sequencing. Leukemia. 2021. doi: 10.1038/s41375-021-01242-0.
  35. He MX, Cuoco MS, Crowdis J, et al. Transcriptional mediators of treatment resistance in lethal prostate cancer. Nature Medicine. 2021. doi: 10.1038/s41591-021-01244-6.
  36. Musicant AM, Parag-Sharma K, Gong W, et al. CRTC1/MAML2 directs a PGC-1α-IGF-1 circuit that confers vulnerability to PPARγ inhibition. Cell Reports. 2021. doi: 10.1016/j.celrep.2021.108768.
  37. Panagopoulos I, Heim S. Interstitial Deletions Generating Fusion Genes. Cancer Genomics & Proteomics. 2021. doi: 10.21873/cgp.20251.
  38. Privitera AP, Barresi V, Condorelli DF. Aberrations of Chromosomes 1 and 16 in Breast Cancer: A Framework for Cooperation of Transcriptionally Dysregulated Genes. Cancer. 2021. doi: 10.3390/cancers13071585.
  39. Soriani S, Guido V, Bertani G, et al. BCR/ABL1 fluorescence in situ hybridization fusion signals on both copies of chromosome 22 in a Philadelphia-masked chronic myeloid leukemia case: implication for the therapy. Hematol Rep. 2021. doi: 10.4081/hr.2021.8795.
  40. Wang X, Johnson V, Johnson L, Cook JR. RNA-Based next generation sequencing complements but does not replace fluorescence in situ hybridization studies for the classification of aggressive B-Cell lymphomas. Cancer Genetics. Cancer Genetics. 2021. doi: 10.1016/j.cancergen.2020.12.004.
  41. Zapata-Dongo R, Albornoz C, Llimpe Y. Acute Myeloid Leukemia with Minimal Differentiation with Translocation t(16;21)(P11;Q22): Case Report and Review of the Literature. 2020. doi: 10.13140/RG.2.2.14551.60329.
  42. Aguilar B, Gibbs DL, Reiss DJ, et al A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma. GigaScience. 2020. doi: 10.1093/gigascience/giaa075.
  43. Lundin-Ström K, Biloglav A, Lazarevic V, et al. Parental origin of monosomy 7 in acute leukaemia. Wiley Online Library. 2021. doi: 10.1111/bjh.17356.
  44. Abrams Z, Tally D, Zhang L, et al. Pattern recognition in lymphoid malignancies using CytoGPS and Mercator. BMC Bioinformatics. 2021. doi: 10.1186/s12859-021-03992-1.
  45. Yamamoto K, Yakushijin K, Mizutani Y, et al. Expression of a novel type of KMT2A/EPS15 fusion transcript in FLT3 mutation-positive B-lymphoblastic leukemia with t(1;11)(p32;q23). Cancer Genetics. 2021. doi: 10.1016/j.cancergen.2021.02.006.
  46. Taniue K, Akimitsu N Fusion Genes and RNAs in Cancer Development. 2021. doi: 10.3390/ncrna7010010.
  47. Behrens Y, Schienke A, Davenport C, et al. BCR-ABL1 positive AML or CML in blast crisis? A pediatric case report with inv(3) and t(9;22) in the initial clone. Cancer Genetics. 2021. doi: 10.1016/j.cancergen.2021.02.007.
  48. Reid J, Golubeva D, Boyd A, et al. Human pluripotent stem cells identify molecular targets of trisomy 12 in chronic lymphocytic leukemia patients. Elsevier. 2021. doi: 10.1016/j.celrep.2021.108845.
  49. Zachary B Abrams, Caitlin E Coombes, Suli Li, et al. Mercator: a pipeline for multi-method, unsupervised visualization and distance generation. 2021. doi: 10.1093/bioinformatics/btab037.
  50. Simone Mocellin Etiology and Predisposition. Soft Tissue Tumors. 2021. doi: 10.1007/978-3-030-58710-9_3.
  51. ZAn-Angela N.Van, Maya T.Kunkel, Timothy R.Baffi, et al. Protein kinase C fusion proteins are paradoxically loss-of-function in cancer. Elsevier. 2021. doi: 10.1016/j.jbc.2021.100445.
  52. IOANNIS PANAGOPOULOS, KRISTIN ANDERSEN, MARTINE EILERT-OLSEN, et al. Therapy-induced Deletion in 11q23 Leading to Fusion of KMT2A With ARHGEF12 and Development of B Lineage Acute Lymphoplastic Leukemia in a Child Treated for Acute Myeloid Leukemia Caused by t(9;11)(p21;q23)/ KMT2A-MLLT3. Cancer Genomics - Proteomics. 2021. doi: 10.21873/cgp.20242, issn: 1109-6535.
  53. IOANNIS PANAGOPOULOS, KRISTIN ANDERSEN, MARTINE EILERT-OLSEN, et al. Rare KMT2A-ELL and Novel ZNF56-KMT2A Fusion Genes in Pediatric T-cell Acute Lymphoblastic Leukemia.,. 2021. doi: 10.21873/cgp.20247.
  54. David L Gibbs, Boris Aguilar, Vésteinn Thorsson, et al. non-coding RNA Fusion Genes and RNAs in Cancer Development. 2021. doi: 10.1101/2021.02.08.430343.
  55. Yamamoto K, Kurata K, Higashime A, et al. Non-inverted Duplication of 11q, dup(11)(q11q24), in a Diffuse Large B Cell Lymphoma Without MYC Rearrangement: Case Report. SN Comprehensive Clinical Medicine. 2021. doi: 10.1007/s42399-021-00866-8.
  56. Shetty D, Mohanty P, Talker E, et al. Importance of conventional cytogenetics in the identification of ins(19;X)(q13.1;p11.2q28) and t(1;11)(q10;p10), both, novel cytogenetic abnormalities in a pediatric AML case. Elsevier. 2021. doi: 10.1016/j.cancergen.2021.03.002.
  57. Toh C, Brody JP. Chromosomal Scale Length Variation of Germline DNA Can Predict Individual Cancer Risk. 2020. doi: 10.1101/303339.
  58. Panayides AS, Amini A, Filipovic ND, et al. AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE Journal of Biomedical and Health Informatics. 2020. doi: 10.1109/JBHI.2020.2991043.
  59. Liu-Smith F, Lu Y. Opposite Roles of BAP1 in Overall Survival of Uveal Melanoma and Cutaneous Melanoma. Journal of Clinical Medicine. 2020. doi: 10.3390/jcm9020411.
  60. Baptiste Gailllard, Pascale Cornillet‐Lefebvre, Quoc‐Hung Le, et al. Clinical and biological features of B‐cell neoplasms with CDK6 translocations: an association with a subgroup of splenic marginal zone lymphomas displaying frequent CD5 expression, prolymphocytic cells, and TP53 abnormalities. British Journal of Haematology. 2020. doi: 10.1111/bjh.17141, issn: 0007-1048.
  61. Alejandra Cervera Taboada Transcriptomics analysis and its applications in cancer. 2020. isbn: 9789515168658.
  62. Deng H, Hung L-H, Schooley R, et al. Profiling Resource Utilization of Bioinformatics Workflows. arXiv:200511491 [cs]. 2020.
  63. Florian Puls, Abbas Agaimy, Uta Flucke, et al. Recurrent fusions between YAP1 and KMT2A in morphologically distinct neoplasms within the spectrum of low-grade fibromyxoid sarcoma and sclerosing epithelioid fibrosarcoma. American Journal of Surgical Pathology. 2020. doi: 10.1097/PAS.0000000000001423, pmid: 31913156, issn: 15320979.
  64. Carolina Martinelli, Fabio Gabriele, Federico Manai, et al. The search for molecular markers in a gene-orphan case study of a pediatric spinal cord pilocytic astrocytoma. Cancer Genomics and Proteomics. 2020. doi: 10.21873/cgp.20172, pmid: 32108034, issn: 17906245.
  65. Nathan K. Leclair, Mattia Brugiolo, Laura Urbanski, et al. Poison Exon Splicing Regulates a Coordinated Network of SR Protein Expression during Differentiation and Tumorigenesis. Molecular Cell. 2020. doi: 10.1016/j.molcel.2020.10.019, pmid: 33176162, issn: 10974164.
  66. Yu Chien Kao, Jen Chieh Lee An update of molecular findings in uterine tumor resembling ovarian sex cord tumor and GREB1-rearranged uterine sarcoma with variable sex-cord differentiation. Genes Chromosomes and Cancer. 2020. doi: 10.1002/gcc.22909, pmid: 33099842, issn: 10982264.
  67. Dhanlaxmi Shetty, Pratibha Kadam Amare, Purvi Mohanty, et al. Investigating the clinical, hematological and cytogenetic profile of endoreduplicated hypodiploids in BCP-ALL. Blood Cells, Molecules, and Diseases. 2020. doi: 10.1016/j.bcmd.2020.102465, pmid: 32693366, issn: 10960961.
  68. Ninad Oak, Andrew D. Cherniack, R. Jay Mashl, et al. Ancestry-specific predisposing germline variants in cancer. Genome Medicine. 2020. doi: 10.1186/s13073-020-00744-3, pmid: 32471518, issn: 1756994X.
  69. Alexandre Fagnan, Thomas Mercher NUP98 and KMT2A: Usually the bride rather than the bridesmaid. Haematologica. 2020. doi: 10.3324/haematol.2020.253476, pmid: 32611575, issn: 15928721.
  70. Maryam Kakay Afshari Transcriptomic and functional studies of fusion oncogene-driven salivary gland tumors. 2020. isbn: 9789180091107.
  71. Diana Le Duc, Chen-Ching Lin, Yulia Popkova, et al. Reduced lipolysis in lipoma phenocopies lipid accumulation in obesity. International Journal of Obesity. 2020. doi: 10.1038/s41366-020-00716-y, issn: 1476-5497.
  72. Nikolai Lomov, Elena Zerkalenkova, Svetlana Lebedeva, et al. Cytogenetic and molecular genetic methods for chromosomal translocations detection with reference to the KMT2A/MLL gene. Critical Reviews in Clinical Laboratory Sciences. 2020. doi: 10.1080/10408363.2020.1844135, issn: 1549781X.
  73. Kawther Abdilleh, Boris Aguilar, J. Ross Thomson Multi-omics data integration in the Cloud. Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 2020. isbn: 9781450379649, doi: 10.1145/3388440.3414917.
  74. Dondra Bailey, Kawther Abdilleh, Boris Aguilar, et al. Multi-omics characterization of Microtubule-actin cross linking factor 1 (MACF1) using the ISB-Cancer Genomics Cloud. Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 2020. isbn: 9781450379649, doi: 10.1145/3388440.3414918.
  75. Anna Stengel, Rabia Shahswar, Torsten Haferlach, et al. Whole transcriptome sequencing detects a large number of novel fusion transcripts in patients with AML and MDS. Blood Advances. 2020. doi: 10.1182/bloodadvances.2020003007, issn: 2473-9529.
  76. Song Cao, Daniel Cui Zhou, Clara Oh, et al. Discovery of driver non-coding splice-site-creating mutations in cancer. Nature Communications. 2020. doi: 10.1038/s41467-020-19307-6, issn: 2041-1723.
  77. Karim Saba Genomic and Transcriptomic Analyses of Osteogenic Tumours of Bone. 2020.
  78. Richard Zapata-Dongo, Oween Paul, Sanchez Ramos Immunophenotype, cytogenetic and molecular characterization of 19 cases reported in Mitelman database with t(16;21)(q24;q22) in acute myeloid leukemia and its relation to prognosis The MCL1 inhibitor S63845 in combination with the histone deacetylase inhi. EuroLeuk 2020. 2020. doi: 10.13140/RG.2.2.34383.71845.
  79. I Brunetti, M.; Zeller, B.;Tierens, A.;Heim, S.;Micci, F.; Panagopoulos TYRO3 Truncation Resulting From a t(10;15)(p11;q15) Chromosomal Translocation in Pediatric Acute Myeloid Leukemia. Anticancer Research. 2020.
  80. Sinhue Alejandro Brukman-Jimenez, Lucina Bobadilla-Morales, Jorge Román Corona-Rivera, et al. Sole trisomy 6 an uncommon finding in pediatric acute myeloid leukemia, probably associated to bad prognosis. Molecular Cytogenetics. 2020. doi: 10.1186/s13039-020-00509-y, issn: 1755-8166.
  81. Subhajit Pal, Sudip Mondal, Gourab Das, et al. Big data in biology: The hope and present-day challenges in it. Gene Reports. 2020. doi: 10.1016/j.genrep.2020.100869, issn: 24520144.
  82. Grazia Visci, Doron Tolomeo, Antonio Agostini, et al. CircRNAs and Fusion-circRNAs in cancer: New players in an old game. Cellular Signalling. 2020. doi: 10.1016/j.cellsig.2020.109747, pmid: 32860952, issn: 18733913.
  83. Ludmila Gorunova, Bodil Bjerkehagen, Francesca Micci, et al. Cytogenetic and Molecular Study of an Adult Sclerosing Rhabdomyosarcoma of the Extremity: MYOD1-mutation and Clonal Evolution. Cancer genomics & proteomics. 2020. doi: 10.21873/cgp.20212, pmid: 32859634, issn: 17906245.
  84. Paul Mischel Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers | Nature Research Cancer Community. Nature Cancer Community. 2020.
  85. J A Eddy, V Thorsson, A E Lamb, et al. CRI iAtlas: an interactive portal for immuno-oncology research [version 1; peer review: awaiting peer review]. F1000Research. 2020. doi: 10.12688/f1000research.25141.1.
  86. Yasuyo Teramura, Miwa Tanaka, Yukari Yamazaki, et al. Identification of Novel Fusion Genes in Bone and Soft Tissue Sarcoma and Their Implication in the Generation of a Mouse Model. Cancers. 2020. doi: 10.3390/cancers12092345, issn: 2072-6694.
  87. Hoon Kim, Nam Phuong Nguyen, Kristen Turner, et al. Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers. Nature Genetics. 2020. doi: 10.1038/s41588-020-0678-2, issn: 15461718.
  88. Brendan Donaldson Reciprocal Chromosome Translocations in the Domestic Pig, the Prevalence, Genetic and Genomic Factors Associated with Breakpoint Formation. 2020.
  89. Mariano Miller, Konstatine; Heslop-Harrison, J.S; Madan, Kamlesh; Rocchi Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer. European Cytogenetics Association Newsletter. 2020.
  90. Toshihiro Matsukawa, Peter D. Aplan Clinical and Molecular Consequences of Fusion Genes in Myeloid Malignancies. STEM CELLS. 2020. doi: 10.1002/stem.3263, issn: 10665099.
  91. IOANNIS Panagopoulos, Ludmila GORUNOVA, INGVILD Lobmaier, et al. Fusion of the COL4A5 Gene With NR2F2-AS1 in a Hemangioma Carrying a t(X;15)(q22;q26) Chromosomal Translocation. Cancer Genomics - Proteomics. 2020. doi: 10.21873/cgp.20197, pmid: 32576583, issn: 17906245.
  92. Manja Meggendorfer, Wencke Walter, Torsten Haferlach WGS and WTS in leukaemia: A tool for diagnostics?. Best Practice & Research Clinical Haematology. 2020. doi: 10.1016/j.beha.2020.101190, issn: 15216926.
  93. Therese Wilhelm, Maha Said, Valeria Naim DNA Replication Stress and Chromosomal Instability: Dangerous Liaisons.. Genes. 2020. doi: 10.3390/genes11060642, pmid: 32532049, issn: 2073-4425.
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  97. Georgia Lazarou, Vijayalakshmi Chelliah, Ben G. Small, et al. Integration of Omics Data Sources to Inform Mechanistic Modeling of Immune-Oncology Therapies: A Tutorial for Clinical Pharmacologists. Clinical pharmacology and therapeutics. 2020. doi: 10.1002/cpt.1786.
  98. Jan Köster, Elsa Arbajian, Björn Viklund, et al. Genomic and transcriptomic features of dermatofibrosarcoma protuberans: Unusual chromosomal origin of the COL1A1-PDGFB fusion gene and synergistic effects of amplified regions in tumor development. Cancer Genetics. 2020. doi: 10.1016/j.cancergen.2019.12.001, issn: 22107770.
  99. Gregory D. Poore, Evguenia Kopylova, Qiyun Zhu, et al. Microbiome analyses of blood and tissues suggest cancer diagnostic approach. Nature. 2020. doi: 10.1038/s41586-020-2095-1, issn: 14764687.
  100. Elsa Arbajian, Jakob Hofvander, Linda Magnusson, et al. Deep sequencing of myxoinflammatory fibroblastic sarcoma. Genes Chromosomes and Cancer. 2020. doi: 10.1002/gcc.22832.
  101. Ginny X.L. Li, Dan Munro, Damian Fermin, et al. A protein-centric approach for exome variant aggregation enables sensitive association analysis with clinical outcomes. Human Mutation. 2020. doi: 10.1002/humu.23979, issn: 10981004.
  102. Jakob Hofvander, Vickie Y. Jo, Christopher D.M. Fletcher, et al. PHF1 fusions cause distinct gene expression and chromatin accessibility profiles in ossifying fibromyxoid tumors and mesenchymal cells. Modern Pathology. 2020. doi: 10.1038/s41379-020-0457-8.
  103. Katsuya Yamamoto, Kimikazu Yakushijin, Mitsuhiro Ito, et al. MYC amplification on double minute chromosomes in plasma cell leukemia with double IGH/CCND1 fusion genes. Cancer Genetics. 2020. doi: 10.1016/j.cancergen.2020.01.049.
  104. Neetha Nanoth Vellichirammal, Abrar Albahrani, Jasjit K. Banwait, et al. Pan-Cancer Analysis Reveals the Diverse Landscape of Novel Sense and Antisense Fusion Transcripts. Molecular Therapy - Nucleic Acids. 2020. doi: 10.1016/j.omtn.2020.01.023, issn: 21622531.
  105. Buyun Zhang Colorectal cancer predictive test using germ-line DNA data and multiple machine learning methods. 2019.
  106. Jia Xin Yu, Vanessa M. Hubbard-Lucey, Jun Tang Immuno-oncology drug development goes global. Nature Reviews Drug Discovery. 2019. doi: 10.1038/d41573-019-00167-9, pmid: 31780841, issn: 14741784.
  107. Maxim Vaysburd Identifying Epigenetic Signature of Breast Cancer with Machine Learning. arXiv. 2019. arxiv: 1910.06899.
  108. Robert L Grossman Data Lakes, Clouds, and Commons: A Review of Platforms for Analyzing and Sharing Genomic Data. Trends in Genetics. 2019. doi: 10.1016/j.tig.2018.12.006, pmid: 30691868, issn: 13624555.
  109. GF Gao, JS Parker, SM Reynolds, et al. Before and after: Comparison of legacy and harmonized TCGA genomic data commons' data. Cell systems. 2019.
  110. Mustafa Solmaz, Adam Lane, Bilal Gonen, et al. Graphical data mining of cancer mechanisms with SEMA. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz303, issn: 14602059.
  111. Hoon Kim, Nam Nguyen, Kristen Turner, et al. Frequent extrachromosomal oncogene amplification drives aggressive tumors. bioRxiv. 2019. doi: 10.1101/859306.
  112. Sung Hee Park, Mattia Brugiolo, Martin Akerman, et al. Differential Functions of Splicing Factors in Mammary Transformation and Breast Cancer Metastasis. Cell Reports. 2019. doi: 10.1016/j.celrep.2019.10.110, issn: 22111247.
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