@article{RoeblitzSchintkeReinefeldetal.2004, author = {R{\"o}blitz, Thomas and Schintke, Florian and Reinefeld, Alexander and B{\"a}rring, Olof and Lopez, Maite Barroso and Cancio, German and Chapeland, Sylvain and Chouikh, Karim and Cons, Lionel and Poznanski, Piotr and Defert, Philippe and Iven, Jan and Kleinwort, Thorsten and Panzer-Steindel, Bernd and Polok, Jaroslaw and Rafflin, Catherine and Silverman, Alan and Smith, Tim and van Eldik, Jan and Front, David and Biasotto, Massimo and Aiftimiei, Cristina and Ferro, Enrico and Maron, Gaetano and Chierici, Andrea and dell'Agnello, Luca and Serra, Marco and Michelotto, Michele and Hess, Lord and Lindenstruth, Volker and Pister, Frank and Steinbeck, Timm and Groep, David and Steenbakkers, Martijn and Koeroo, Oscar and de Cerff, Wim and Venekamp, Gerben and Anderson, Paul and Colles, Tim and Holt, Alexander and Scobie, Alastair and George, Michael and Washbrook, Andrew and Leiva, Rafael}, title = {Autonomic Management of Large Clusters and Their Integration into the Grid}, series = {J. Grid Comput.}, volume = {2}, journal = {J. Grid Comput.}, number = {3}, doi = {10.1007/s10723-004-7647-3}, pages = {247 -- 260}, year = {2004}, language = {en} } @article{DaiFuellgrabePfeufferetal., author = {Dai, Chengxin and F{\"u}llgrabe, Anja and Pfeuffer, Julianus and Solovyeva, Elizaveta M. and Deng, Jingwen and Moreno, Pablo and Kamatchinathan, Selvakumar and Kundu, Deepti Jaiswal and George, Nancy and Fexovy, Silvie and Gr{\"u}ning, Bj{\"o}rn and F{\"o}ll, Melanie Christine and Griss, Johannes and Vaudel, Marc and Audain, Enrique and Locard-Paulet, Marie and Turewicz, Michael and Eisenacher, Martin and Uszkoreit, Julian and Van Den Bossche, Tim and Schw{\"a}mmle, Veit and Webel, Henry and Schulze, Stefan and Bouyssi{\´e}, David and Jayaram, Savita and Duggineni, Vinay Kumar and Samaras, Patroklos and Wilhelm, Mathias and Choi, Meena and Wang, Mingxun and Kohlbacher, Oliver and Brazma, Alvis and Papatheodorou, Irene and Bandeira, Nuno and Deutsch, Eric W. and Vizca{\´i}no, Juan Antonio and Bai, Mingze and Sachsenberg, Timo and Levitsky, Lev I. and Perez-Riverol, Yasset}, title = {A proteomics sample metadata representation for multiomics integration and big data analysis}, series = {Nature Communications}, volume = {12}, journal = {Nature Communications}, number = {5854}, doi = {https://doi.org/10.1038/s41467-021-26111-3}, abstract = {The amount of public proteomics data is rapidly increasing but there is no standardized format to describe the sample metadata and their relationship with the dataset files in a way that fully supports their understanding or reanalysis. Here we propose to develop the transcriptomics data format MAGE-TAB into a standard representation for proteomics sample metadata. We implement MAGE-TAB-Proteomics in a crowdsourcing project to manually curate over 200 public datasets. We also describe tools and libraries to validate and submit sample metadata-related information to the PRIDE repository. We expect that these developments will improve the reproducibility and facilitate the reanalysis and integration of public proteomics datasets.}, language = {en} }