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Visualization of omics data for systems biology.
Gehlenborg N, O'Donoghue SI, Baliga NS, Goesmann A, Hibbs MA, Kitano H, Kohlbacher O, Neuweger H, Schneider R, Tenenbaum D, Gavin AC. Gehlenborg N, et al. Nat Methods. 2010 Mar;7(3 Suppl):S56-68. doi: 10.1038/nmeth.1436. Nat Methods. 2010. PMID: 20195258 Review.
Visualizing biological data-now and in the future.
O'Donoghue SI, Gavin AC, Gehlenborg N, Goodsell DS, Hériché JK, Nielsen CB, North C, Olson AJ, Procter JB, Shattuck DW, Walter T, Wong B. O'Donoghue SI, et al. Among authors: gehlenborg n. Nat Methods. 2010 Mar;7(3 Suppl):S2-4. doi: 10.1038/nmeth.f.301. Nat Methods. 2010. PMID: 20195254
Ontologies in biological data visualization.
Carpendale S, Chen M, Evanko D, Gehlenborg N, Gorg C, Hunter L, Rowland F, Storey MA, Strobelt H. Carpendale S, et al. Among authors: gehlenborg n. IEEE Comput Graph Appl. 2014 Mar-Apr;34(2):8-15. doi: 10.1109/MCG.2014.33. IEEE Comput Graph Appl. 2014. PMID: 24808195
Comparative analysis of metazoan chromatin organization.
Ho JW, Jung YL, Liu T, Alver BH, Lee S, Ikegami K, Sohn KA, Minoda A, Tolstorukov MY, Appert A, Parker SC, Gu T, Kundaje A, Riddle NC, Bishop E, Egelhofer TA, Hu SS, Alekseyenko AA, Rechtsteiner A, Asker D, Belsky JA, Bowman SK, Chen QB, Chen RA, Day DS, Dong Y, Dose AC, Duan X, Epstein CB, Ercan S, Feingold EA, Ferrari F, Garrigues JM, Gehlenborg N, Good PJ, Haseley P, He D, Herrmann M, Hoffman MM, Jeffers TE, Kharchenko PV, Kolasinska-Zwierz P, Kotwaliwale CV, Kumar N, Langley SA, Larschan EN, Latorre I, Libbrecht MW, Lin X, Park R, Pazin MJ, Pham HN, Plachetka A, Qin B, Schwartz YB, Shoresh N, Stempor P, Vielle A, Wang C, Whittle CM, Xue H, Kingston RE, Kim JH, Bernstein BE, Dernburg AF, Pirrotta V, Kuroda MI, Noble WS, Tullius TD, Kellis M, MacAlpine DM, Strome S, Elgin SC, Liu XS, Lieb JD, Ahringer J, Karpen GH, Park PJ. Ho JW, et al. Among authors: gehlenborg n. Nature. 2014 Aug 28;512(7515):449-52. doi: 10.1038/nature13415. Nature. 2014. PMID: 25164756 Free PMC article.
Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Rheinbay E, Nielsen MM, Abascal F, Wala JA, Shapira O, Tiao G, Hornshøj H, Hess JM, Juul RI, Lin Z, Feuerbach L, Sabarinathan R, Madsen T, Kim J, Mularoni L, Shuai S, Lanzós A, Herrmann C, Maruvka YE, Shen C, Amin SB, Bandopadhayay P, Bertl J, Boroevich KA, Busanovich J, Carlevaro-Fita J, Chakravarty D, Chan CWY, Craft D, Dhingra P, Diamanti K, Fonseca NA, Gonzalez-Perez A, Guo Q, Hamilton MP, Haradhvala NJ, Hong C, Isaev K, Johnson TA, Juul M, Kahles A, Kahraman A, Kim Y, Komorowski J, Kumar K, Kumar S, Lee D, Lehmann KV, Li Y, Liu EM, Lochovsky L, Park K, Pich O, Roberts ND, Saksena G, Schumacher SE, Sidiropoulos N, Sieverling L, Sinnott-Armstrong N, Stewart C, Tamborero D, Tubio JMC, Umer HM, Uusküla-Reimand L, Wadelius C, Wadi L, Yao X, Zhang CZ, Zhang J, Haber JE, Hobolth A, Imielinski M, Kellis M, Lawrence MS, von Mering C, Nakagawa H, Raphael BJ, Rubin MA, Sander C, Stein LD, Stuart JM, Tsunoda T, Wheeler DA, Johnson R, Reimand J, Gerstein M, Khurana E, Campbell PJ, López-Bigas N; PCAWG Drivers and Functional Interpretation Working Group; PCAWG Structural Variation Working Group; Weischenfeldt J, Beroukhim R, Martincorena I, Pedersen JS, Getz G; PCAWG Consortium. Rheinbay E, et al. Nature. 2023 Feb;614(7948):E40. doi: 10.1038/s41586-022-05599-9. Nature. 2023. PMID: 36697832 Free PMC article. No abstract available.
202 results