ISB-CGC Publications

  1. 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.
  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. 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.
  4. 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.
  5. Aguilar B, Gibbs DL, Reiss DJ, et al. A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma. 2020.
  6. 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.
  7. Boris Aguilar, Kawther Abdilleh, George Acquaah-Mensah. A tale of two cohorts: Transcriptomics and epigenomic analysis in breast cancer. 2021.
  8. 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.
  9. Plaugher D, Aguilar B, Murrugarra D. Uncovering potential interventions for pancreatic cancer patients via mathematical modeling. 2022. doi: 10.1101/2022.01.11.475711.
  10. de Andrade KC, Lee EE, Tookmanian EM, et al. The TP53 Database: transition from the International Agency for Research on Cancer to the US National Cancer Institute. 2022. doi: 10.1038/s41418-022-00976-3.
  11. Tercan B, Qin G, Kim TK, et al. SL-Cloud: A Cloud-based resource to support synthetic lethal interaction discovery. 2022. doi:10.12688/f1000research.110903.2.
  12. Wang J, Zheng J, Lee E, et al. A cloud-based resource for genome coordinate-based exploration and large-scale analysis of chromosome aberrations and gene fusions in cancer. 2023. doi:10.1002/gcc.23128.
  13. Torcivia J, Abdilleh K, Seidl F, et al. Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers. 2023. doi:10.3390/onco2020009.
  14. Thomson R. How to run statistics inside BigQuery. 2023.

Citations

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  2. Clogston JD, Crist RM, Dobrovolskaia MA, Stern ST, eds Characterization of Nanoparticles Intended for Drug Delivery. Springer US. 2024. doi:10.1007/978-1-0716-3786-9.
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  15. Barahuie F, Dorniani D, Saifullah B, et al Tannic acid chitosan iron oxide nanocomposite for cervical cancer treatment.. Inorganic Chemistry Communications. 2024. doi:10.1016/j.inoche.2024.112160.
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  23. Landsburg DJ, Morrissette JJ, Nasta SD, et al TP53 mutations predict for poor outcomes in patients with newly diagnosed aggressive B-cell lymphomas in the current era.. Blood Advances. 2023. doi:10.1182/bloodadvances.2023011384.
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  25. Landsburg DJ, Morrissette JJ, Nasta SD, et al. TP53 Mutations Detected By Clinical Laboratory Mutation Analysis Predict for Inferior Clinical Outcomes in Patients with Newly-Diagnosed Aggressive B Cell Lymphomas, Including Those with High-Risk Features. Blood. 2023. doi:10.1182/blood-2023-186343.
  26. Mukherjee K, Bhadaria H, Pillai S, Kumari M, Sarkar B Nano-Informatics: Studies on Nano Information Platforms and Their Application in Various Sectors. In: Sarkar B, Sonawane A, eds. Biological Applications of Nanoparticles. Springer Nature. 2023. doi:10.1007/978-981-99-3629-8_10.
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  28. Amatruda JF, Houart C, Kawakami K, Poss KD. Zebrafish: Methods and Protocols. Springer Nature. 2023. doi:10.1007/978-1-0716-3401-1.
  29. Blakemore C, Damodharan S, Puccetti D. Inv(3) Acute Myeloid Leukemia in a Young Adult and Review of the Literature. Case Reports in Oncological Medicine. 2023. doi:10.1155/2023/6628492.
  30. Difilippo V, Saba KH, Styring E, et al. Osteosarcomas with few chromosomal alterations and/or affecting adults are genetically heterogeneous. Laboratory Investigation. 2023. doi:10.1016/j.labinv.2023.100283.
  31. Dorwal P, White C, Goh AF, et al. Ependymoma-like tumor with mesenchymal differentiation (ELTMD) with ZFTA:NCOA1 fusion: A diagnostic challenge. Neuropathology. 2023. doi:10.1111/neup.12952.
  32. Micheloni G, Frattini A, Donini M, et al. Donor Cell Acute Myeloid Leukemia after Hematopoietic Stem Cell Transplantation for Chronic Granulomatous Disease: A Case Report and Literature Review. Genes. 2023. doi:10.3390/genes14112085.
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  46. Kent MR, Silvius K, Kucinski J, Calderon D, Kendall GC. Functional Genomics of Novel Rhabdomyosarcoma Fusion-Oncogenes Using Zebrafish. Springer US. 2024. doi:10.1007/978-1-0716-3401-1_2.
  47. Mansur MB, Greaves M. Convergent TP53 loss and evolvability in cancer. BMC Ecol Evo. 2023. doi:10.1186/s12862-023-02146-6.
  48. Zupan A, Salapura V, Šekoranja D, Pižem J. Subcutaneous chondromyxoid fibroma with a novel PNISR::GRM1 fusion—report of a primary soft tissue tumour without connection to an underlying bone. Virchows Arch. 2023. doi:10.1007/s00428-023-03519-4.
  49. Akyüz N, Janjetovic S, Ghandili S, et al. EBV and 1q Gains Affect Gene and miRNA Expression in Burkitt Lymphoma. Viruses. 2023. doi:10.3390/v15091808.
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  66. Stružinská I, Hájková N, Hojný J, et al. A comprehensive molecular analysis of 113 primary ovarian clear cell carcinomas reveals common therapeutically significant aberrations. Diagnostic Pathology. 2023. doi:10.1186/s13000-023-01358-0.
  67. Wakayama S, Ouchi K, Takahashi S, et al. TP53 Gain-of-Function Mutation is a Poor Prognostic Factor in High-Methylated Metastatic Colorectal Cancer. Clinical Colorectal Cancer. 2023. doi:10.1016/j.clcc.2023.06.001.
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  71. Li H, Wang Q. Chimeric RNAs and their implication in prostate cancer. Cancer Pathogenesis and Therapy. 2023. doi:10.1016/j.cpt.2023.04.003.
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  75. Sadoq BE, Britel M, Bouajaj A, et al. A Review on Antibacterial Activity of Nanoparticles. Biointerface Research in Applied Chemistry. 2023. doi:1.33263/BRIAC135.405.
  76. Sasaki K, Takahashi S, Ouchi K, et al. Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types. Scientific Reports. 2023. doi:10.1038/s41598-023-32092-8.
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  102. Sahnane N, Rivera D, Libera L, et al. Pyrosequencing Assay for BRCA1 Methylation Analysis: Results from a Cross-Validation Study. The Journal of Molecular Diagnostics. 2023. doi:10.1016/j.jmoldx.2023.01.003.
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  105. Heng E, Thanedar S, Heng HH Challenges and Opportunities for Clinical Cytogenetics in the 21st Century. Genes. 2023. doi:10.3390/genes14020493.
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