The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data

Autor: Wittenburg, P., Sustkova, H. Pergl, Montesanti, A., Bloemers, S. M., de Waard, S. H., Musen, M. A., Graybeal, J. B., Hettne, K. M., Jacobsen, A., Pergl, R., Hooft, R. W. W., Staiger, C., van Gelder, C. W. G., Knijnenburg, S. L., van Arkel, A. C., Meerman, B., Wilkinson, M. D., Sansone, S-A, Rocca-Serra, P., McQuilton, P., Gonzalez-Beltran, A. N., Aben, G. J. C., Henning, P., Alencar, S., Ribeiro, C., Silva, C. R. L., Sayao, L., Sales, L., Veiga, V., Lima, J., Dib, S., Xavier, P., Murtinho, R., Tendel, J., Schaap, B. F., Brouwer, P. M., Gavai, A. K., Bouzembrak, Y., Marvin, H. J. P., Mons, A., Kuhn, T., Gambardella, A. A., Azevedo, R. de Miranda, Muhonen, V., van der Naald, M., Smit, N. W., Buys, M. J., de Bruin, T. F., Schoots, F., Goodson, H. J. E., Rzepa, H. S., Jeffery, K. G., Shanahan, H. P., Axton, M., Tkachenko, V., Maya, A. D., Meyers, N. K., Conlon, M., Haak, L. L., Schultes, E. A.

There is a growing acknowledgement in the scientific community of the importance of making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recognizing that high quality metadata are essential to make datasets FAIR,

Externí odkaz: http://arxiv.org/abs/1902.11162

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

Autor: Grapotte M., Saraswat M., Bessiere C., Menichelli C., Ramilowski J. A., Severin J., Hayashizaki Y., Itoh M., Tagami M., Murata M., Kojima-Ishiyama M., Noma S., Noguchi S., Kasukawa T., Hasegawa A., Suzuki H., Nishiyori-Sueki H., Frith M. C., Abugessaisa I., Aitken S., Aken B. L., Alam I., Alam T., Alasiri R., Alhendi A. M. N., Alinejad-Rokny H., Alvarez M. J., Andersson R., Arakawa T., Araki M., Arbel T., Archer J., Archibald A. L., Arner E., Arner P., Asai K., Ashoor H., Astrom G., Babina M., Baillie J. K., Bajic V. B., Bajpai A., Baker S., Baldarelli R. M., Balic A., Bansal M., Batagov A. O., Batzoglou S., Beckhouse A. G., Beltrami A. P., Beltrami C. A., Bertin N., Bhattacharya S., Bickel P. J., Blake J. A., Blanchette M., Bodega B., Bonetti A., Bono H., Bornholdt J., Bttcher M., Bougouffa S., Boyd M., Breda J., Brombacher F., Brown J. B., Bult C. J., Burroughs A. M., Burt D. W., Busch A., Caglio G., Califano A., Cameron C. J., Cannistraci C. V., Carbone A., Carlisle A. J., Carninci P., Carter K. W., Cesselli D., Chang J. -C., Chen J. C., Chen Y., Chierici M., Christodoulou J., Ciani Y., Clark E. L., Coskun M., Dalby M., Dalla E., Daub C. O., Davis C. A., de Hoon M. J. L., de Rie D., Denisenko E., Deplancke B., Detmar M., Deviatiiarov R., Di Bernardo D., Diehl A. D., Dieterich L. C., Dimont E., Djebali S., Dohi T., Dostie J., Drablos F., Edge A. S. B., Edinger M., Ehrlund A., Ekwall K., Elofsson A., Endoh M., Enomoto H., Enomoto S., Faghihi M., Fagiolini M., Farach-Carson M. C., Faulkner G. J., Favorov A., Fernandes A. M., Ferrai C., Forrest A. R. R., Forrester L. M., Forsberg M., Fort A., Francescatto M., Freeman T. C., Frith M., Fukuda S., Funayama M., Furlanello C., Furuno M., Furusawa C., Gao H., Gazova I., Gebhard C., Geier F., Geijtenbeek T. B. H., Ghosh S., Ghosheh Y., Gingeras T. R., Gojobori T., Goldberg T., Goldowitz D., Gough J., Greco D., Gruber A. J., Guhl S., Guigo R., Guler R., Gusev O., Gustincich S., Ha T. J., Haberle V., Hale P., Hallstrom B. M., Hamada M., Handoko L., Hara M., Harbers M., Harrow J., Harshbarger J., Hase T., Hashimoto K., Hatano T., Hattori N., Hayashi R., Herlyn M., Hettne K., Heutink P., Hide W., Hitchens K. J., Sui S. H., 't Hoen P. A. C., Hon C. C., Hori F., Horie M., Horimoto K., Horton P., Hou R., Huang E., Huang Y., Hugues R., Hume D., Ienasescu H., Iida K., Ikawa T., Ikemura T., Ikeo K., Inoue N., Ishizu Y., Ito Y., Ivshina A. V., Jankovic B. R., Jenjaroenpun P., Johnson R., Jorgensen M., Jorjani H., Joshi A., Jurman G., Kaczkowski B., Kai C., Kaida K., Kajiyama K., Kaliyaperumal R., Kaminuma E., Kanaya T., Kaneda H., Kapranov P., Kasianov A. S., Katayama T., Kato S., Kawaguchi S., Kawai J., Kawaji H., Kawamoto H., Kawamura Y. I., Kawasaki S., Kawashima T., Kempfle J. S., Kenna T. J., Kere J., Khachigian L., Kiryu H., Kishima M., Kitajima H., Kitamura T., Kitano H., Klaric E., Klepper K., Klinken S. P., Kloppmann E., Knox A. J., Kodama Y., Kogo Y., Kojima M., Kojima S., Komatsu N., Komiyama H., Kono T., Koseki H., Koyasu S., Kratz A., Kukalev A., Kulakovskiy I., Kundaje A., Kunikata H., Kuo R., Kuo T., Kuraku S., Kuznetsov V. A., Kwon T. J., Larouche M., Lassmann T., Law A., Le-Cao K. -A., Lecellier C. -H., Lee W., Lenhard B., Lennartsson A., Li K., Li R., Lilje B., Lipovich L., Lizio M., Lopez G., Magi S., Mak G. K., Makeev V., Manabe R., Mandai M., Mar J., Maruyama K., Maruyama T., Mason E., Mathelier A., Matsuda H., Medvedeva Y. A., Meehan T. F., Mejhert N., Meynert A., Mikami N., Minoda A., Miura H., Miyagi Y., Miyawaki A., Mizuno Y., Morikawa H., Morimoto M., Morioka M., Morishita S., Moro K., Motakis E., Motohashi H., Mukarram A. K., Mummery C. L., Mungall C. J., Murakawa Y., Muramatsu M., Nagasaka K., Nagase T., Nakachi Y., Nakahara F., Nakai K., Nakamura K., Nakamura Y., Nakazawa T., Nason G. P., Nepal C., Nguyen Q. H., Nielsen L. K., Nishida K., Nishiguchi K. M., Nishiyori H., Nitta K., Notredame C., Ogishima S., Ohkura N., Ohno H., Ohshima M., Ohtsu T., Okada Y., Okada-Hatakeyama M., Okazaki Y., Oksvold P., Orlando V., Ow G. S., Ozturk M., Pachkov M., Paparountas T., Parihar S. P., Park S. -J., Pascarella G., Passier R., Persson H., Philippens I. H., Piazza S., Plessy C., Pombo A., Ponten F., Poulain S., Poulsen T. M., Pradhan S., Prezioso C., Pridans C., Qin X. -Y., Quackenbush J., Rackham O., Ramilowski J., Ravasi T., Rehli M., Rennie S., Rito T., Rizzu P., Robert C., Roos M., Rost B., Roudnicky F., Roy R., Rye M. B., Sachenkova O., Saetrom P., Sai H., Saiki S., Saito M., Saito A., Sakaguchi S., Sakai M., Sakaue S., Sakaue-Sawano A., Sandelin A., Sano H., Sasamoto Y., Sato H., Saxena A., Saya H., Schafferhans A., Schmeier S., Schmidl C., Schmocker D., Schneider C., Schueler M., Schultes E. A., Schulze-Tanzil G., Semple C. A., Seno S., Seo W., Sese J., Sheng G., Shi J., Shimoni Y., Shin J. W., SimonSanchez J., Sivertsson A., Sjostedt E., Soderhall C., Laurent G. S., Stoiber M. H., Sugiyama D., Summers K. M., Suzuki A. M., Suzuki K., Suzuki M., Suzuki N., Suzuki T., Swanson D. J., Swoboda R. K., Taguchi A., Takahashi H., Takahashi M., Takamochi K., Takeda S., Takenaka Y., Tam K. T., Tanaka H., Tanaka R., Tanaka Y., Tang D., Taniuchi I., Tanzer A., Tarui H., Taylor M. S., Terada A., Terao Y., Testa A. C., Thomas M., Thongjuea S., Tomii K., Triglia E. T., Toyoda H., Tsang H. G., Tsujikawa M., Uhlen M., Valen E., van de Wetering M., van Nimwegen E., Velmeshev D., Verardo R., Vitezic M., Vitting-Seerup K., von Feilitzen K., Voolstra C. R., Vorontsov I. E., Wahlestedt C., Wasserman W. W., Watanabe K., Watanabe S., Wells C. A., Winteringham L. N., Wolvetang E., Yabukami H., Yagi K., Yamada T., Yamaguchi Y., Yamamoto M., Yamamoto Y., Yamanaka Y., Yano K., Yasuzawa K., Yatsuka Y., Yo M., Yokokura S., Yoneda M., Yoshida E., Yoshida Y., Yoshihara M., Young R., Young R. S., Yu N. 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Publikováno v: Nature communications, vol 12, iss 1
Nature Communications
Nature Communications, 2021, 12, pp.1-18/3297. ⟨10.1038/s41467-021-23143-7⟩
Nature communications, 12(1):3297. Nature Publishing Group
Nature Communications, Nature Publishing Group, 2021, 12, pp.1-18. ⟨10.1038/s41467-021-23143-7⟩
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Grapotte, M, Saraswat, M, Bessière, C, Menichelli, C, Ramilowski, J A, Severin, J, Hayashizaki, Y, Itoh, M, Tagami, M, Murata, M, Kojima-Ishiyama, M, Noma, S, Noguchi, S, Kasukawa, T, Hasegawa, A, Suzuki, H, Nishiyori-Sueki, H, Frith, M C, Abugessaisa, I, Aitken, S, Aken, B L, Alam, I, Alam, T, Alasiri, R, Alhendi, A M N, Alinejad-Rokny, H, Alvarez, M J, Andersson, R, Arakawa, T, Araki, M, Arbel, T, Bornholdt, J, Boyd, M, Chen, Y, Coskun, M, Dalby, M, Ienasescu, H, Jørgensen, M, Kaczkowski, B, Kere, J, Li, K, Lilje, B, Nepal, C, Nguyen, Q H, Nielsen, L K, Rennie, S, Sandelin, A, Valen, E, Vitezic, M, Vitting-Seerup, K & FANTOM Consortium 2021, ' Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network ', Nature Communications, vol. 12, 3297 . https://doi.org/10.1038/s41467-021-23143-7
Grapotte, Mathys; Saraswat, Manu; Bessière, Chloé; Menichelli, Christophe; Ramilowski, Jordan A; Severin, Jessica; Hayashizaki, Yoshihide; Itoh, Masayoshi; Tagami, Michihira; Murata, Mitsuyoshi; Kojima-Ishiyama, Miki; Noma, Shohei; Noguchi, Shuhei; Kasukawa, Takeya; Hasegawa, Akira; Suzuki, Harukazu; Nishiyori-Sueki, Hiromi; Frith, Martin C; Chatelain, Clément; Carninci, Piero; ... (2021). Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network. Nature communications, 12(1), p. 3297. Nature Publishing Group 10.1038/s41467-021-23143-7
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W, Bréhélin, L & Lecellier, C 2021, ' Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network ', Nature Communications, vol. 12, no. 1 . https://doi.org/10.1038/s41467-021-23143-7
Nature Communications, Nature Publishing Group, 2021, 12 (1), ⟨10.1038/s41467-021-23143-7⟩
Nature Communications, 12 (1)

Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::071cc9b35fa8ab5830f24ee8cb404eaf
https://pubmed.ncbi.nlm.nih.gov/35232988

The use or generation of biomedical data and existing medicines to discover and establish new treatments for patients with rare diseases - recommendations of the IRDiRC Data Mining and Repurposing Task Force

Autor: Southall, N.T., Natarajan, M., Lau, L.P.L., Jonker, A.H., Deprez, B., Guilliams, T., Hunter, L., Rademaker, C.M.A., Hivert, V., Ardigo, D., Cavalla, D., Colvis, C., Hettne, K., t'Hoen, P.B., Kant, C., Krischer, J., Marin, F., Quintana, J., Rademaker, C., Reed, J., Southali, N., Tsigkos, S., Thompson, R., IRDiRC Data Min Repurposing Task

Publikováno v: Orphanet Journal of Rare Diseases, 14(1). BMC
Orphanet Journal of Rare Diseases, Vol 14, Iss 1, Pp 1-8 (2019)
Orphanet Journal of Rare Diseases, 14, 225. BMC
Orphanet Journal of Rare Diseases, 14(1). BioMed Central
Orphanet Journal of Rare Diseases

The number of available therapies for rare diseases remains low, as fewer than 6% of rare diseases have an approved treatment option. The International Rare Diseases Research Consortium (IRDiRC) set up the multi-stakeholder Data Mining and Repurposin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd6e5817b8707da5aa953bdc37580c8e
https://doi.org/10.1186/s13023-019-1193-3

Why workflows break — understanding and combating decay in Taverna workflows

Autor: Zhao, J, Gómez-Pérez, J, Belhajjame, K, Klyne, G, García-Cuesta, E, Garrido, A, Hettne, K, Roos, M, Roure, D, Goble, C

Publikováno v: Zhao, J, Gomez-perez, J M, Belhajjame, K, Klyne, G, Garcia-cuesta, E, Garrido, A, Hettne, K, Roos, M, De Roure, D & Goble, C 2012, ' Why workflows break — understanding and combating decay in Taverna workflows ', Paper presented at 2012 IEEE 8th International Conference on E-Science (e-Science), 8/10/12-12/10/12 pp. 1-9 . https://doi.org/10.1109/eScience.2012.6404482

Workflows provide a popular means for preserving scientific methods by explicitly encoding their process. However, some of them are subject to a decay in their ability to be re-executed or reproduce the same results over time, largely due to the vola

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bc5d6120e3a5f40968e39b754316b5ed
https://www.research.manchester.ac.uk/portal/en/publications/why-workflows-break--understanding-and-combating-decay-in-taverna-workflows(cba81ca4-e92c-408e-8442-383d1f15fcdf).html

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