1. 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.
  2. 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.
  3. 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.
  4. Taniue K, Akimitsu N Fusion Genes and RNAs in Cancer Development. 2021. doi: 10.3390/ncrna7010010.
  5. 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.
  6. 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.
  7. 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.
  8. Simone Mocellin Etiology and Predisposition. Soft Tissue Tumors. 2021. doi: 10.1007/978-3-030-58710-9_3.
  9. 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.
  10. 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.
  11. 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.
  12. David L Gibbs, Boris Aguilar, ProfileVésteinn, et al. Patient-specific cell communication networks associate with disease. ,. 2021. doi: 10.1101/2021.02.08.430343.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Alejandra Cervera Taboada Transcriptomics analysis and its applications in cancer. 2020. isbn: 9789515168658.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Maryam Kakay Afshari Transcriptomic and functional studies of fusion oncogene-driven salivary gland tumors. 2020. isbn: 9789180091107.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. Karim Saba Genomic and Transcriptomic Analyses of Osteogenic Tumours of Bone. 2020.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. Paul Mischel Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers | Nature Research Cancer Community. Nature Cancer Community. 2020.
  40. 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.
  41. 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.
  42. 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.
  43. Brendan Donaldson Reciprocal Chromosome Translocations in the Domestic Pig, the Prevalence, Genetic and Genomic Factors Associated with Breakpoint Formation. 2020.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. Anouchka P. Laurent, Rishi S. Kotecha, Sébastien Malinge Gain of chromosome 21 in hematological malignancies: lessons from studying leukemia in children with Down syndrome. Leukemia. 2020. doi: 10.1038/s41375-020-0854-5, issn: 0887-6924.
  50. Erik Ziegler, Trinity Urban, Danny Brown, et al. Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research. JCO Clinical Cancer Informatics. 2020. doi: 10.1200/CCI.19.00131, issn: 2473-4276.
  51. Andrea Biloglav, Linda Olsson‐Arvidsson, Johan Theander, et al. SFPQ‐ABL1 ‐positive B‐cell precursor acute lymphoblastic leukemias. Genes, Chromosomes and Cancer. 2020. doi: 10.1002/gcc.22852, pmid: 32306475, issn: 1045-2257.
  52. 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.
  53. 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.
  54. 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.
  55. Elsa Arbajian, Jakob Hofvander, Linda Magnusson, et al. Deep sequencing of myxoinflammatory fibroblastic sarcoma. Genes Chromosomes and Cancer. 2020. doi: 10.1002/gcc.22832.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. Buyun Zhang Colorectal cancer predictive test using germ-line DNA data and multiple machine learning methods. 2019.
  61. 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.
  62. Maxim Vaysburd Identifying Epigenetic Signature of Breast Cancer with Machine Learning. arXiv. 2019. arxiv: 1910.06899.
  63. 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.
  64. GF Gao, JS Parker, SM Reynolds, et al. Before and after: Comparison of legacy and harmonized TCGA genomic data commons' data. Cell systems. 2019.
  65. 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.
  66. Hoon Kim, Nam Nguyen, Kristen Turner, et al. Frequent extrachromosomal oncogene amplification drives aggressive tumors. bioRxiv. 2019. doi: 10.1101/859306.
  67. 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.
  68. L Codó Tarraubella Computational Infrastructures for biomolecular research Laia Codó Tarraubella Aquesta tesi doctoral està subjecta a la llicència Reconeixement 4.0. Espanya de Creative Commons. Esta tesis doctoral está sujeta a la licencia Reconocimiento 4.0. España de Cr. 2019.
  69. Maximilian M.L. Knott, Tilman L.B. Hölting, Shunya Ohmura, et al. Targeting the undruggable: exploiting neomorphic features of fusion oncoproteins in childhood sarcomas for innovative therapies. Cancer and Metastasis Reviews. 2019. doi: 10.1007/s10555-019-09839-9, issn: 15737233.
  70. Marzia Settino, Mario Cannataro Survey of main tools for querying and analyzing TCGA Data. Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. 2019. isbn: 9781538654880, doi: 10.1109/BIBM.2018.8621270.
  71. Shweta Gopaulakrishnan, Samuela Pollack, B. J. Stubbs, et al. Restfulse: A semantically rich interface for cloud-scale genomics with bioconductor [version 1; referees: 2 approved]. F1000Research. 2019. doi: 10.12688/f1000research.17518.1, issn: 1759796X.
  72. Kyle Ellrott, Alex Buchanan, Allison Creason, et al. Reproducible biomedical benchmarking in the cloud: Lessons from crowd-sourced data challenges. Genome Biology. 2019. doi: 10.1186/s13059-019-1794-0, issn: 1474760X.
  73. Sabine Heitzeneder, Elena Sotillo, Jack F Shern, et al. Pregnancy-Associated Plasma Protein-A (PAPP-A) in Ewing Sarcoma: Role in Tumor Growth and Immune Evasion. Journal of the National Cancer Institute. 2019. doi: 10.1093/jnci/djy209, issn: 14602105.
  74. Pinakin Pandya, Minesh Jethva, Eitan Rubin, et al. PICOT binding to chromatin-associated EED negatively regulates cyclin D2 expression by increasing H3K27me3 at the CCND2 gene promoter. Cell Death and Disease. 2019. doi: 10.1038/s41419-019-1935-0, issn: 20414889.
  75. Antonella Padella, Giorgia Simonetti, Giulia Paciello, et al. Novel and rare fusion transcripts involving transcription factors and tumor suppressor genes in acute myeloid leukemia. Cancers. 2019. doi: 10.3390/cancers11121951, issn: 20726694.
  76. Winnie Fan Genomics and Epidemiological Analysis of Melanoma Laterality. 2018.
  77. Matthew Schwede, Levi Waldron, Samuel C. Mok, et al. The impact of stroma on the discovery of molecular subtypes and prognostic gene signatures in serous ovarian cancer. bioRxiv. 2018. doi: 10.1101/496406.
  78. Zhong Wang, Tinyi Chu, Marcus A. Christie, et al. Building a science gateway for processing and modeling sequencing data via apache airavata. ACM International Conference Proceeding Series. 2018. isbn: 9781450364461, doi: 10.1145/3219104.3219141.
  79. Hsinyi Tsang, KanakaDurga Addepalli National Cancer Institute Cloud Resources. 2018. doi: 10.1145/3233547.3233671.
  80. Robert L. Grossman Progress Toward Cancer Data Ecosystems. Cancer Journal (United States). 2018. doi: 10.1097/PPO.0000000000000318, pmid: 29794537, issn: 1540336X.
  81. Qingsong Gao, Wen Wei Liang, Steven M. Foltz, et al. Driver Fusions and Their Implications in the Development and Treatment of Human Cancers. Cell Reports. 2018. doi: 10.1016/j.celrep.2018.03.050, pmid: 29617662, issn: 22111247.
  82. Kuan-lin Huang Multi-omics Portraits of Cancer. Dissertation. 2018.
  83. Vivek Navale, Philip E. Bourne Cloud computing applications for biomedical science: A perspective. PLoS Computational Biology. 2018. doi: 10.1371/journal.pcbi.1006144, issn: 15537358.
  84. Jorge Andrade, Suzanne M. Cox, Samuel L. Volchenboum Large-Scale Data Sharing Initiatives in Genomic Oncology. Advances in Molecular Pathology. 2018. doi: 10.1016/j.yamp.2018.06.009, issn: 25894080.
  85. Ana C. Decarvalho, Hoon Kim, Laila M. Poisson, et al. Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma. Nature Genetics. 2018. doi: 10.1038/s41588-018-0105-0, issn: 15461718.
  86. Ben Langmead, Abhinav Nellore Cloud computing for genomic data analysis and collaboration. Nature Reviews Genetics. 2018. doi: 10.1038/nrg.2017.113, issn: 14710064.
  87. Zoltan Szallasi An introduction to the computational challenges in next generation sequencing. Communications in Computer and Information Science. 2018. isbn: 9783319965529, doi: 10.1007/978-3-319-96553-6_3, issn: 18650929.
  88. Guy Karlebach, Diogo F.T. Veiga, Anne Deslattes Mays, et al. The impact of sex on alternative splicing. bioRxiv. 2018. doi: 10.1101/490904.
  89. Vésteinn Vesteinn Thorsson, David L. Gibbs, Scott D. Brown, et al. The Immune Landscape of Cancer. Immunity. 2018. isbn: 10974180 (Electronic), pmid: 29628290, doi: 10.1016/j.immuni.2018.03.023.
  90. Joel Saltz, Rajarsi Gupta, Le Hou, et al. Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images. Cell Reports. 2018. doi: 10.1016/j.celrep.2018.03.086, pmid: 29617659, issn: 22111247.
  91. Kyle Ellrott, Matthew H Bailey, Gordon Saksena, et al. Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines. Cell Systems. 2018. doi: 10.1016/j.cels.2018.03.002, pmid: 29596782, issn: 24054720.
  92. Zhuyi Xue, René L. Warren, Ewan A. Gibb, et al. Recurrent tumor-specific regulation of alternative polyadenylation of cancer-related genes. BMC Genomics. 2018. doi: 10.1186/s12864-018-4903-7, issn: 14712164.
  93. Kuan lin Huang, R Jay Mashl, Yige Wu, et al. Pathogenic Germline Variants in 10,389 Adult Cancers. Cell. 2018. issn: 10974172, doi: 10.1016/j.cell.2018.03.039, pmid: 29625052.
  94. Izumi V. Hinkson, Tanja M. Davidsen, Juli D. Klemm, et al. A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine. Frontiers in Cell and Developmental Biology. 2017. doi: 10.3389/fcell.2017.00083, issn: 2296-634X.
  95. Gustavo Glusman, Peter W. Rose, Andreas Prlić, et al. Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: A proposed framework. Genome Medicine. 2017. doi: 10.1186/s13073-017-0509-y, pmid: 29254494, issn: 1756994X.
  96. Sheila M. Reynolds, Michael Miller, Phyliss Lee, et al. The ISB cancer genomics cloud: A flexible cloud-based platform for cancer genomics research. Cancer Research. 2017. doi: 10.1158/0008-5472.CAN-17-0617, issn: 15387445.
  97. Lun Ching Chang, Suleyman Vural, Dmitriy Sonkin Detection of homozygous deletions in tumor-suppressor genes ranging from dozen to hundreds nucleotides in cancer models. Human Mutation. 2017. doi: 10.1002/humu.23308, issn: 10981004.
  98. Zhuyi Xue, René Warren, Ewan Gibb, et al. Pan-cancer analysis reveals complex tumor-specific alternative polyadenylation. 2017. doi: 10.1101/160960.
  99. P. J. Tatlow, Stephen R. Piccolo A cloud-based workflow to quantify transcript-expression levels in public cancer compendia. Scientific reports. 2016. doi: 10.1038/srep39259, pmid: 27982081, issn: 20452322.