PT18H17M41S200LibreOffice/7.0.4.2$Linux_X86_64 LibreOffice_project/00$Build-2Modèle et mini-guideModèle Jres 20212022-01-11T14:53:50.077650922Olivier Langella 52994 0 40509 15198 false false view2 27577 144946 0 52994 40508 68190 0 0 false 100 false false false false false true true true true true false 0 false false false true false false true true false false false false true false false false false false false true true false false false false false false true 0 1 true high-resolution true false false true false true true false true fr FR true 18055325 true false true 0 false false false false false true true false false true true false false false false false false false false false false false false false 376182 false false true false false true false true true JRES 2021 – Marseille8/8 Olivier Langella 2022-01-04T15:56:49 Olivier Langella 2022-01-04T15:57:06 Olivier Langella 2022-01-04T15:57:20 Olivier Langella 2022-01-04T15:57:25 Olivier Langella 2022-01-04T15:57:27 Olivier Langella 2022-01-04T16:08:39 Olivier Langella 2022-01-04T15:59:48 Olivier Langella 2022-01-04T15:59:48 Olivier Langella 2022-01-04T16:45:23 Olivier Langella 2022-01-04T16:49:26 Olivier Langella 2022-01-04T16:52:23 Olivier Langella 2022-01-04T17:18:31 Olivier Langella 2022-01-04T17:24:12 Olivier Langella 2022-01-04T17:19:50 Olivier Langella 2022-01-04T17:19:50 Olivier Langella 2022-01-04T17:49:03 Olivier Langella 2022-01-04T17:49:03 Logiciels libres : à la recherche du bien commun Edlira Nano Associations April, La Quadrature Du Net, informaticienne indépendante eda@mutu.net / eda@laquadrature.net Olivier Langella Ingénieur au CNRS Plateforme PAPPSO Laboratoire GQE-Le Moulon Ferme du Moulon 91190 Gif-sur-Yvette France olivier.langella@universite-paris-saclay.fr Filippo Rusconi Chercheur au CNRS Plateforme PAPPSO Laboratoire GQE-Le Moulon Ferme du Moulon 91190 Gif-sur-Yvette France filippo.rusconi@universite-paris-saclay.fr Résumé Ce document résume les instructions aux auteurs de la conférence JRES. Le logiciel libre et la recherche publique partagent un objectif : le bien commun, au service de tous. Cette présentation revient sur ce que sont le bien commun et la science ouverte pour essayer de les analyser à l'aide de l'exemple de la plateforme scientifique Analyses protéomiques de Paris Sud-Ouest (PAPPSO). PAPPSO s'est dotée d'une infrastructure informatique complète basée exclusivement sur du Logiciel libre : réseau, serveurs, stockage, calcul et postes personnels. Elle développe plusieurs logiciels sous licence libre, dont ceux qui forment la chaîne de traitement des données de spectrométrie de masse. Ce choix naturel facilite la reproductibilité des traitements, apporte la maîtrise des logiciels et permet l'intégration de code source tiers. L'apport majeur du Logiciel libre à la recherche publique permet l'utilisation des réseaux et systèmes informatiques. Scientifiquement, l'ouverture du code source et la liberté d'utilisation des logiciels garantissent l'échange des données, leur réutilisation et leur vérification par les pairs. Cet ensemble forme un bien commun protégé par des licences. De nombreux laboratoires y contribuent en utilisant ou en produisant des logiciels libres, comme en témoigne en partie la forge du code source du secteur public (https://code.gouv.fr). Comment contribuer efficacement ? Quelles sont les recommandations et obligations pour les établissements publics ? Quelle licence choisir ? Comment une licence copyleft peut-elle aussi séduire les partenaires privés ? Nous apporterons des réponses et des éléments de réflexion pour corriger quelques fausses croyances et promouvoir la construction collective d'une culture libre, au service du bien commun.Le résumé doit faire de quinze à vingt lignes. Comme le reste du document, il utilise la feuille de style Jres ; ici, définition de style « Résumé » : écriture en italique, police avec empattement en taille 12 points. Le titre utilisant le style « Titre résumé » (ainsi que le titre « Mots-clefs » ci-dessous) sont en 14 points, gras, sans empattement. Mots-clefs logiciel libre, IPV6, PKI, CMS, Calmarlogiciel scientifique, biens communs, recherche scientifique, science ouverte, licences, open source, copyleft, protéomique IntroductionUne plateforme pour la recherche sous Logiciel libre Contexte scientifique La protéomique est l’étude de l’ensemble des protéines produites par une cellule, un organe ou un organisme . Elle permet d’analyser sans a priori les changements qualitatifs ou quantitatifs dans la composition en protéines en fonction de traitements, du développement ou de variations génétiques, et de comprendre par exemple comment un organisme répond à un stress ou à une maladie. L’apparition du terme « protéomique » en 1995 coïncide avec le début de l’utilisation de la spectrométrie de masse pour l’identification des protéines puis pour leur quantification. Aujourd’hui la méthode utilisée quasi-exclusivement est l’analyse de peptides issus de la digestion tryptique des protéines, par un spectromètre de masse couplé à une chaîne de chromatographie liquide. Les appareils n’ont pas cessé d’évoluer mais au final il s’agit toujours de mesurer la masse moléculaire des peptides ayant pénétré dans le spectromètre et/ou de leurs fragments et de quantifier leur intensité. Les analyses par spectrométrie de masse produisent de grandes quantités de données, directement en sortie de l'instrument. Chaque fabricant a son propre format de données, qui est le plus souvent propriétaire. Ordinairement, les données aux formats propriétaires sont traitées par les logiciels fournis avec l'instrument, eux aussi propriétaires. Comme souvent dans le domaine des formats de fichiers, ces formats ne sont pas pérennes et les licences d'utilisation des logiciels propriétaires sont très coûteuses. Il y a donc ici un problème majeur d'interopérabilité. Depuis 2005, la plateforme scientifique "Analyses protéomiques de Paris Sud-Ouest" (PAPPSO) a fait le choix du Logiciel libre pour garantir la pérennité de ses chaînes de traitement, la reproductibilité des expériences et la capitalisation de son savoir faire. Il est recommandé d’utiliser la dernière version stable de Libre Office (au moment de la rédaction, v7.0.4). Le document sera finalement transformé en format « Portable Document Format » (.pdf) pour la phase finale de publication. Taille des articlesTransition des logiciels propriétaires au Logiciel libre L’article doit faire entre 5 et 10 pages.Le passage progressif au Logiciel libre a permis une rationalisation de l’utilisation des ressources informatiques. Nous sommes passés de postes dédiés à licence unique pour usage unique à une infrastructure collective combinant stockage, calcul et enchaînement des traitements depuis n’importe quel poste de travail. Durant la période 2005–2015, notre travail a été facilité par la définition de formats standards en protéomique, l’émergence de nombreux logiciels libres dans le domaine [1]et le développement de nouvelles solutions logicielles sous licence libre (PROTICdb [2], mineXpert2 [3], X!TandemPipeline [4], MassChroQ [5])1 http://pappso.inrae.fr/ Choix du système d'exploitation Le choix de PAPPSO s’est porté d’abord sur la distribution GNU/Linux Ubuntu, puis sur Debian. Un groupe de développeurs officiels Debian, dont un auteur de ce rapport, s'attache à fournir dans la distribution de nombreux logiciels pour la chimie, et en particulier pour la spectrométrie de masse ("team debichem"). L'intérêt principal de la distribution Debian est la richesse de son offre logicielle qui permet de disposer d'un socle de fonctionnalités robuste couvrant les exigences "serveur" et les impératifs "bureautique". Tous les logiciels développés par PAPPSO sont disponibles sous forme de paquets Debian dans des dépôts publics. Le déploiement des logiciels, dépendances comprises, sur les serveurs et les postes de travail de l’équipe est ainsi simplifié et totalement automatisé. Stockage des données Les besoins en stockage de la plateforme évoluent constamment en fonction des progrès techniques des spectromètres de masse. Chaque nouvelle génération d'instruments apporte des améliorations, en particulier sur la précision de mesure de masse, qui provoquent une augmentation significative du volume des données générées. 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AAAAAAABEQgBAAAAAAAgIAIhAAAAAAAABEQgBAAAAAAAgIAIhAAAAAAAABAQgRAAAAAAAAAC IhACAAAAAABAQARCAAAAAAAACIhACAAAAAAAAAERCAEAAAAAACAgAiEAAAAAAAAERCAEAAAA AACAgAiEAAAAAAAAEBCBEAAAAAAAAAIiEAIAAAAAAEBABEIAAAAAAAAIiEAIAAAAAAAAAfkT vZf8dcGEwkwAAAAASUVORK5CYII= Figure 1Evolution des besoins de stockage de la plateforme en To/an et historique de l’acquisition de nouveaux instruments Le système de stockage des données de spectrométrie de masse doit permettre une adaptation en continu de la volumétrie d'espace disque disponible ainsi que les meilleures performances en lecture et écriture. Les solutions classiques de type NAS ont été écartées pour éviter la dépendance matérielle et les problèmes liés au renouvellement des équipements. Dès 2011, nous avons été parmi les premiers à faire confiance à une solution nouvelle de stockage distribué: Ceph2 https://ceph.io/. La principale caractéristique de ce système de stockage est de ne requérir que des serveurs standard. La flexibilité et l'adaptabilité de ce système à des besoins perpétuellement en évolution en ont fait la solution la plus robuste que nous connaissions. Calcul scientifique La plateforme PAPPSO est spécialisée dans les traitements en protéomique haut débit (nombreux échantillons à traiter dans les plus brefs délais). Pour assurer la disponibilité de nos moyens de calcul à l’ensemble des utilisateurs, nous utilisons le gestionnaire de processus HTCondor3 https://htcondor.org/. Les besoins en calcul évoluent eux aussi en fonction des instruments utilisés. Avec l’évolution des techniques, de nouvelles possibilités sont apparues dans le traitement de données en protéomique, exigeant elles aussi des capacités de calcul supplémentaires. De la même manière que pour les capacités de stockage, les machines dédiées au calcul doivent être ainsi renouvelées régulièrement et intégrées au fur et à mesure. Retour d’expérience sur 10 ans Matériel L’intégration de nouvelles machines de calcul ou de stockage s’est faite de manière transparente. Nous sommes passés d’une capacité de stockage initiale de 18To (3 serveurs R515, disques de 3To) en 2011 à une capacité de 917To (8 serveurs hétérogènes). Le réseau est passé du 1Gb cuivre au 10Gb SFP+. Il n’y a pas eu de transfert de données/migration, pas de modification de l’architecture logique pour les utilisateurs. Le système de fichiers cephfs permet un accès direct aux données depuis chaque nœud de calcul. Globalement, les performances ont suivi les évolutions matérielles (augmentation du débit, augmentation des capacités de calcul). La résistance aux pannes a été mise à rude épreuve (panne électrique, disques ou erreurs humaines) et nous n’avons jamais eu de perte de données. Logiciel Les systèmes pour les serveurs et pour les postes utilisateur ont été migrés en 2013 de Ubuntu GNU/Linux vers Debian. Nous y avons gagné en stabilité et en simplicité lors des mises à jour de version. La stratégie consiste à maintenir le parc informatique sous Debian "stable" et effectuer le passage à la version successive dans les mois qui suivent sa publication officielle. Le stockage centralisé est disponible pour tous les postes dans une arborescence commune, via un montage automatique sur les nœud de calculs (cephfs via systemd sur les serveurs, sshfs sur les postes clients). Les logiciels sont les mêmes sur les serveurs et les postes utilisateurs. L’accès distant au cluster de calcul se fait avec x2go, via une clé publique ssh. Scientifique Les analyses de la plateforme ont évolué pour passer de la technique des gels d’électrophorèse 2D vers des analyses uniquement basées sur la spectrométrie de masse. Le traitement des images des gels 2D était majoritairement effectué avec des logiciels propriétaires sous Windows, sur des postes dédiés, ce qui limitait les capacités de traitement. Le passage progressif à des processus analytiques qui faisaient l'économie de l'étape d'électrophorèse a coincidé avec les apports massif du Logiciel libre dans le domaine scientifique, au milieu des années 2000. Nous avons alors pu commencer la transition vers certains logiciels libres qui émergeaient à cette époque. Cependant, ces logiciels étaient principalement des librairies encore imparfaitement dotées des fonctionnalités requises dans notre domaine. Nous avons alors entrepris le développement de nos logiciels sur la base des besoins scientifiques particuliers à notre plateformeLe logiciel MassChroQ est né ainsi, de nos besoins en protéomique quantitative. Notre indépendance vis-à-vis des formats de données propriétaires des fabricants nous a permis de produire un logiciel évolutif et pérenne dès le départ, évitant l’effet « boîte noire ». Ainsi, notre offre logicielle a pu être adaptée au fur et à mesure aux nouvelles techniques, à des instruments significativement différents de génération en génération, absorbant ainsi les « chocs » technologiques : doublement des fréquences d’acquisition à chaque génération (3 ans), doublement du pouvoir résolutif (précision des mesures des masse). La dernière « rupture technologique » a été l’apparition du timsTOF Pro du fabricant Bruker. Cet appareil dispose d’une fréquence d’acquisition 10 fois supérieure à celle de la génération précédente ainsi que d’une nouvelle dimension de séparation des peptides (mobilité ionique). Fait unique depuis les débuts de la protéomique, Bruker nous a confié les spécifications techniques de son format de fichier de données. Cela nous a permis d’adapter MassChroQ pour pouvoir utiliser de manière native les données obtenues sur cet instrument. Notre savoir faire en développment C++ nous a ainsi permis d'obtenir des gains de performances remarquables par rapport aux logiciels commerciaux, ainsi que de meilleurs résultats scientifiques. Importance et apports du libre dans la recherche scientifique Affinités entre culture libre, communs et recherche publique La recherche publique vise à produire et à développer des connaissances, les améliorer sans cesse, puis les faire connaître et les transmettre au public, à travers les générations, constituant ainsi un savoir qui caractérise notre histoire et notre présent. La recherche scientifique est par essence incrémentale, en ce sens que toute nouveauté plonge ses racines dans un savoir établi. Pour que la recherche puisse être menée efficacement, il faut donc pouvoir accéder aux connaissances établies, idéalement sans aucune entrave d’aucun type. Des savoirs, des acquis librement disponibles pour servir de fondement au progrès, voici qui sert de fondation aux notions de logiciel libre et, plus largement, de bien libre. En effet, la notion d’accès libre à un corpus de savoirs n’est pas unique aux logiciels. Cette notion peut s’appliquer, en effet, à un logiciel, un service informatique en ligne, un document (article scientifique, livre, poème), un produit artistique, une semence végétale (graines libres de droit), un médicament libre, etc. Une œuvre, un bien libre est quelque chose dont on peut disposer librement (partage, modification pour adaptation ou amélioration, redistribution, etc). Si l’on songe à certains aspects de notre vie de tous les jours, la libre disposition de certains biens nous semble naturelle : l’air, le ciel, l’eau sont des ressources naturelles dont il nous paraît normal de disposer sans entrave. De la même manière, il nous semble naturel de pouvoir tirer parti de notre patrimoine culturel, musées, monuments, sites historiques. Ces ressources sont dites « les biens communs », expression souvent abrégée en « les communs ». Leur caractéristique principale est d’être partagés et gérés par la collectivité et de n’appartenir à personne d’autre qu’à la collectivité dans son ensemble (Elinor Ostrom, prix Nobel en 2009 pour les sciences économiques, utilise dans ses travaux sur la théorie des communs l’expression « ressources de propriété commune » [6]). L’idée qu’une communauté se construise autour de biens communs peut être éclipsée, comme l’indique dans le domaine économique l’expression anglo-saxonne « the tragedy of the commons », qui décrit l’accaparement de ressources naturelles par des gens dans des sociétés où la régulation et le contrôle sont trop faibles. Depuis les années 2000, avec l’augmentaton vertigineuse des inégalités sociales et la crise environnementale, une prise de conscience s’est opérée dans les sociétés, avec un renouveau de l’intérêt pour les communs comme socle de solidarité d’une société. L’état français publie depuis déjà des années des recommandations concernant l’emploi du Logiciel libre dans la fonctionne publique, par exemple, comme discuté ci-dessous. Recommandations institutionnelles et obligations légales en terme de publications de code source La recherche publique en France est financée (sources 2018) au moins à 75 % par des fonds publics français (MIRES, hors MIRES, Administrations), et parmi les 25 % restants on ne retrouve que 5 % de ressources contractuelles provenant d’entreprises, les autres 20 % sont un mélange de fonds publics étrangers, notamment européens, ressources propres telles que les prestations de services des structures de recherche elles mêmes, et enfin des ressources privées d’entreprises étrangères) [7]. iVBORw0KGgoAAAANSUhEUgAABEUAAAIRCAIAAAAjtpQ0AAAgAElEQVR4nOzdeXgb530n8Je6 bUkcSz4kOcFYcuXGSYBKrXqFg5WiuN2G4EpRegJcyMz2EMHC0j7NhkEXYZ+2qcIuzLZpLdME tG0a2QyAbtNEkYpBc9SyFAzdJPWVQXzKFjWwJOqkXkqixBP7xyuOhrg4GBxDkN/Pwz9AYI53 BjOD+c37vr+37nv//gIBAAAAAACoQQvMLgAAAAAAAIBBiGcAAAAAAKBWIZ4BAAAAAIBahXgG AAAAAABq1aKM/1esWLFs2dIrVwYnJydNKZBhdXV1HFd/3333rrqHW7AAcRoAAAAAQA07raQG 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Les recommandations officielles (https://communs.numerique.gouv.fr/) traduisent une volonté forte de la part de l’état de promouvoir les logiciels libres et les communs numériques pour valoriser cet investissement. De nombreux outils sont maintenant disponibles pour les faire connaître et faciliter leur diffusion (Socle Interministériel de Logiciels Libres). Les directives actuelles sont très claires : il est de la responsabilité des administrations de rechercher en permanence « la meilleure circulation de la donnée, des algorithmes et des codes, dans des formats ouverts et exploitables par les tiers » (Circulaire n°6264/SG du 27 avril 2021 relative à la politique publique de la donnée, des algorithmes et des codes sources). Pour l’état, il s’agit d’un enjeu de souveraineté pour garantir au public l’accès aux données et la maitrise de la technologie. Dans les choix d’infrastructures et de réseaux en particuliers, nous voyons bien l’importance de l’utilisation des standards et de l’interopérabilité. Les standards du web, de la messagerie et des protocoles réseaux se sont imposés et ne sont plus discutés, mais il faut rester vigilant dans les choix que nous faisons pour les nouveaux usages : outils de visioconférence, d’édition de documents en ligne, suites logicielles pour le travail collaboratif. Il en va de notre indépendance stratégique et de la sécurité de nos données.  Bilan  Le passage au Logiciel libre pour tous les besoins informatiques de la plateforme PAPPSO a permis une maîtrise totale de ses outils, depuis la production des données brutes jusqu’à l’interprétation biologique. Les sommes importantes économisées en licences de logiciels propriétaires (20k€ par an) ont été investies dans la maintenance des ressources de calcul et de stockage. Le savoir faire développé par PAPPSO dans l’analyse protéomique à haut débit est reconnu au niveau international (129 articles citant MassChroQ depuis 2011, publication d’un article de référence en métaprotéomique [8]). Toutes les analyses sont complètement vérifiables et reproductibles, les logiciels étant tous librement téléchargeables, sous licence GPLv3+, sans demande préalable. Cet exemple n’est pas unique, de nombreux logiciels produits dans le domaine de la recherche en France sont maintenant ouverts (https://code.gouv.fr/). Un effort immense est mis en œuvre pour faciliter la réutilisation des données (OpenData). Le choix de l’ouverture peut être difficile pour de nombreuses raisons (changement des habitudes, prise de responsabilité, adhésion des collègues…), mais il s’accorde parfaitement avec les besoins de la science et représente sur le long terme une réelle opportunité pour valoriser nos compétences et nos savoir faire. Bibliographie Rusconi F. Free Open Source Software for Protein and Peptide Mass Spectrometry- based Science. Curr Protein Pept Sci, 2 (22) 134-147, 2021 ; https://doi.org/10.2174/1389203722666210118160946 Langella O. , Valot B., Jacob D., Balliau T., Flores R., Hoogland C., Joets J., Zivy M.. (2013) Management and dissemination of MS proteomic data with PROTICdb: Example of a quantitative comparison between methods of protein extraction. Proteomics, 9 (13) 1457-66 Langella O, Rusconi F. mineXpert2: Full-Depth Visualization and Exploration of MSn Mass Spectrometry Data. J. Am. Soc. Mass Spectrom., 4 (32) 1138-114, mars 2021 ; https://doi.org/10.1021/jasms.0c00402 Langella O, Valot B, Balliau T, Blein-Nicolas M, Bonhomme L, Zivy M. X!TandemPipeline: A Tool to Manage Sequence Redundancy for Protein Inference and Phosphosite Identification. J. Proteome Res., 2 (16) 494-503, décembre 2016 ; https://doi.org/10.1021/acs.jproteome.6b00632 Valot B, Langella O, Nano E, Zivy M. MassChroQ: a versatile tool for mass spectrometry quantification. Proteomics, 17 (11) 3572-3577, juin 2011 ; https://doi.org/10.1002/pmic.201100120 Elnor Ostirom, Governing the Commons : the evolution of institutions for collective actions, 1990, Cambridge University Press ; https://archive.org/details/ElinorOstromGoverningTheCommons MESRI, L’état de l'Enseignement supérieur, de la Recherche et de l'Innovation en France n°14, 2021 ; https://publication.enseignementsup-recherche.gouv.fr/eesr/FR/T622/le_financement_des_activites_de_recherche_et_developpement_de_la_recherche_publique/ Van Den Bossche T, Kunath BJ, Schallert K, Schäpe SS, Abraham PE, Armengaud J, Arntzen M, Bassignani A, Benndorf D, Fuchs S, Giannone RJ, Griffin TJ, Hagen LH, Halder R, Henry C, Hettich RL, Heyer R, Jagtap P, Jehmlich N, Jensen M, Juste C, Kleiner M, Langella O, Lehmann T, Leith E, May P, Mesuere B, Miotello G, Peters SL, Pible O, Queiros PT, Reichl U, Renard BY, Schiebenhoefer H, Sczyrba A, Tanca A, Trappe K, Trezzi JP, Uzzau S, Verschaffelt P, von Bergen M, Wilmes P, Wolf M, Martens L, Muth T. Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nature Communiations, 1 (12) 7305, décembre 2021 ; https://doi.org/10.1038/s41467-021-27542-8