Littérature scientifique sur le sujet « Web-based annotation »
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Articles de revues sur le sujet "Web-based annotation"
Rau, Pei-Luen Patrick, et Sho-Hsen Chen. « A Study of Electronic Annotation on Web Documents ». Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no 5 (septembre 2002) : 680–84. http://dx.doi.org/10.1177/154193120204600517.
Texte intégralHori, Masahiro, Goh Kondoh, Kouichi Ono, Shin-ichi Hirose et Sandeep Singhal. « Annotation-based Web content transcoding ». Computer Networks 33, no 1-6 (juin 2000) : 197–211. http://dx.doi.org/10.1016/s1389-1286(00)00068-2.
Texte intégralJindia, Anjali, et Sonal Chawla. « ANNOTATIONS IN E-LEARNING ». INTERNATIONAL JOURNAL OF COMPUTERS & ; TECHNOLOGY 12, no 9 (18 février 2014) : 3852–59. http://dx.doi.org/10.24297/ijct.v12i9.2825.
Texte intégralMazhoud, Omar, Anis Kalboussi et Ahmed Hadj Kacem. « Educational Recommender System based on Learner’s Annotative Activity ». International Journal of Emerging Technologies in Learning (iJET) 16, no 10 (25 mai 2021) : 108. http://dx.doi.org/10.3991/ijet.v16i10.19955.
Texte intégralKerui, Chen, Wanli Zuo, Fengling He, Yongheng Chen et Ying Wang. « Data extraction and annotation based on domain-specific ontology evolution for deep web ». Computer Science and Information Systems 8, no 3 (2011) : 673–92. http://dx.doi.org/10.2298/csis101011023k.
Texte intégralBryan-Kinns, Nick. « Annotating Distributed Scores for Mutual Engagement in Daisyphone and Beyond ». Leonardo Music Journal 21 (décembre 2011) : 51–55. http://dx.doi.org/10.1162/lmj_a_00061.
Texte intégralSaklofske, Jon. « brat Rapid Annotation Tool. Web-based annotation and visualization tool ». Renaissance and Reformation 42, no 2 (24 octobre 2019) : 180–89. http://dx.doi.org/10.7202/1065133ar.
Texte intégralRydell, Christopher, et Joakim Lindblad. « CytoBrowser : a browser-based collaborative annotation platform for whole slide images ». F1000Research 10 (22 mars 2021) : 226. http://dx.doi.org/10.12688/f1000research.51916.1.
Texte intégralLee, Eduardo, Gregg A. Helt, Justin T. Reese, Monica C. Munoz-Torres, Chris P. Childers, Robert M. Buels, Lincoln Stein, Ian H. Holmes, Christine G. Elsik et Suzanna E. Lewis. « Web Apollo : a web-based genomic annotation editing platform ». Genome Biology 14, no 8 (2013) : R93. http://dx.doi.org/10.1186/gb-2013-14-8-r93.
Texte intégralIslamaj, Rezarta, Dongseop Kwon, Sun Kim et Zhiyong Lu. « TeamTat : a collaborative text annotation tool ». Nucleic Acids Research 48, W1 (8 mai 2020) : W5—W11. http://dx.doi.org/10.1093/nar/gkaa333.
Texte intégralThèses sur le sujet "Web-based annotation"
Rodriguez, Henrry. « Designing, evaluating and exploring Web-based tools for collaborative annotation of documents ». Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3552.
Texte intégralThis thesis explores the use of the World Wide Web asinfrastructure for collaboration among small or middle sizedgroups. A collection of Web-based tools has been developed,whose main characteristic is that they allow users to makeannotations to shared documents. These Web annotations form adialogue that is persistent and immediately accessible to theusers. Special interest has been devoted to observing howcollaborators make use of a common space where Web-documents aswell as Web-annotations are organized and stored. This commonspace has been called a domain.
We have also tried a novel method for the design ofcollaborative Web-based systems, calleddesigning frominside. It is based on communication between the usersand the designer in the form of a dialogue, which is generatedand presentedinsidethe system that is beingdeveloped. In this way, users can make comments about theirexperience using the tool while in the appropriate context.Comments by the users as well as the designer's replies areshared with other users. In this way the users become involvedunobtrusively in the design process of the tool.
One of the tools, DHS, has been used in longitudinal studieswithin courses where students also met regularly in theclassroom. In one contextthe students used the DHS as adiscussion or annotation tool for documents that they hadwritten. Within this framework, we also explored how secondlanguage students collaboratively made use of the tool toaccomplish a task that is normally done individually (readingcomprehension).
Col·lecció is the latest version of the DHS. Themost important change in this tool is that users can add theWeb-documents to the domain themselves. This gives a newperspective to the tools because it can work as a collectivebookmark system. This system has been used in three casestudies in which a distributed and co-located group discussed acollection of Web-documents.
Another system in the family is Col·laboració,which is oriented to supporting collaborative writing tasks. Itfocuses primarily on the communication needs co-authors mighthave around a shared document that is being produced. Thesystem also allows for on-line revision and for generatingversions of the document. This system has been used in 8 casestudies, where we have observed the usersinteraction andexplored the possibilities that the Web offers to collaborativewriting. For example, co-authors can use the commenting spaceas awindow to the Web, as the Web provides a hugeamount of information that can be relevant during the writingprocess.
One of the characteristics of all these tools is that theypresent the comments in chronological order. No threadingmechanism is used, although several users have requested athreaded presentation of the comments. This design choice isbased on the belief that with threading of comments, the focusof the discussion could drastically divert from its originaltopic, the document. In our observations, a dual discoursecontext is often found in the comments referring both to aprevious comment and to the shared document. To facilitateorientation in the discussions, we have also developed avisualization tool called Domain Interactivity Diagram (DID),designed to work together with the other systems.
The studies show that the Web offers a suitableinfrastructure for text-based discussions in which the documentcan be given a prime role. It also emerged that the integrationof email was appreciated by users mainly because it wasconsidered as a reminder of the task. In educational settings,students valued the possibility to go through many exampleswritten by other students in comparison with the traditionalway. Also the dialogue formed by the comments was astraightforward way to promote collaboration amongstudents.
WWW, discussion, annotation, design, writing, collaborativework, asynchronous communication, text-based communication.
Hatem, Muna Salman. « A framework for semantic web implementation based on context-oriented controlled automatic annotation ». Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3207.
Texte intégralAyuso, Anna Maria E. « Automation of Drosophila gene expression pattern image annotation : development of web-based image annotation tool and application of machine learning methods ». Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66403.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (p. 91-92).
Large-scale in situ hybridization screens are providing an abundance of spatio-temporal patterns of gene expression data that is valuable for understanding the mechanisms of gene regulation. Drosophila gene expression pattern images have been generated by the Berkeley Drosophila Genome Project (BDGP) for over 7,000 genes in over 90,000 digital images. These images are currently hand curated by field experts with developmental and anatomical terms based on the stained regions. These annotations enable the integration of spatial expression patterns with other genomic data sets that link regulators with their downstream targets. However, the manual curation has become a bottleneck in the process of analyzing the rapidly generated data therefore it is necessary to explore computational methods for the curation of gene expression pattern images. This thesis addresses improving the manual annotation process with a web-based image annotation tool and also enabling automation of the process using machine learning methods. First, a tool called LabelLife was developed to provide a systematic and flexible way of annotating images, groups of images, and shapes within images using terms from a controlled vocabulary. Second, machine learning methods for automatically predicting vocabulary terms for a given image based on image feature data were explored and implemented. The results of the applied machine learning methods are promising in terms of predictive ability, which has the potential to simplify and expedite the curation process hence increasing the rate that biologically significant data can be evaluated and new insights can be gained.
by Anna Maria E. Ayuso.
M.Eng.
Al, Asswad Mohammad Mourhaf. « Semantic information systems engineering : a query-based approach for semi-automatic annotation of web services ». Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5441.
Texte intégralChan, Wun Wa. « A study of social annotation tool in facilitating collaborative inquiry learning ». HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/514.
Texte intégralVicient, Monllaó Carlos. « Moving towards the semantic web : enabling new technologies through the semantic annotation of social contents ». Doctoral thesis, Universitat Rovira i Virgili, 2015. http://hdl.handle.net/10803/285334.
Texte intégralLa Web Social ha provocado un crecimiento exponencial de los contenidos disponibles, dejando enormes cantidades de recursos electrónicos que a menudo abruman a los usuarios. Tal volumen de información es de interés para la comunidad de minería de datos. Los algoritmos de minería de datos explotan características de las entidades para categorizarlas, agruparlas o clasificarlas según su semejanza. Los datos por sí mismos no aportan ningún significado: deben ser interpretados para convertirse en información. Los métodos tradicionales no tienen como objetivo "entender" el contenido de un recurso, sino que extraen valores numéricos que se convierten en modelos tras aplicar cálculos estadísticos, los cuales cobran sentido bajo el análisis manual de un experto. Actualmente, motivados por la Web Semántica, muchos investigadores han propuesto métodos semánticos de clasificación de datos capaces de explotar recursos textuales a nivel conceptual. Sin embargo, generalmente estos métodos dependen de recursos anotados previamente para poder interpretar semánticamente el contenido de un documento. El uso de estos métodos está estrechamente relacionado con la asociación de datos y su significado. Este trabajo se centra en el desarrollo de una metodología genérica capaz de detectar los rasgos más relevantes de un recurso textual descubriendo su asociación semántica, es decir, enlazándolos con conceptos modelados en una ontología, y detectando los principales temas de discusión. Los métodos propuestos son no supervisados para evitar el cuello de botella generado por la anotación manual, independientes del dominio (aplicables a cualquier área de conocimiento) y flexibles (capaces de analizar recursos heterogéneos: documentos textuales o documentos semi-estructurados, como artículos de la Wikipedia o publicaciones de Twitter). El trabajo ha sido evaluado en los ámbitos turístico y médico. Esta disertación es un primer paso hacia la anotación semántica automática de documentos necesaria para posibilitar el camino hacia la visión de la Web Semántica.
Social Web technologies have caused an exponential growth of the documents available through the Web, making enormous amounts of textual electronic resources available. Users may be overwhelmed by such amount of contents and, therefore, the automatic analysis and exploitation of all this information is of interest to the data mining community. Data mining algorithms exploit features of the entities in order to characterise, group or classify them according to their resemblance. Data by itself does not carry any meaning; it needs to be interpreted to convey information. Classical data analysis methods did not aim to “understand” the content and the data were treated as meaningless numbers and statistics were calculated on them to build models that were interpreted manually by human domain experts. Nowadays, motivated by the Semantic Web, many researchers have proposed semantic-grounded data classification and clustering methods that are able to exploit textual data at a conceptual level. However, they usually rely on pre-annotated inputs to be able to semantically interpret textual data such as the content of Web pages. The usability of all these methods is related to the linkage between data and its meaning. This work focuses on the development of a general methodology able to detect the most relevant features of a particular textual resource finding out their semantics (associating them to concepts modelled in ontologies) and detecting its main topics. The proposed methods are unsupervised (avoiding the manual annotation bottleneck), domain-independent (applicable to any area of knowledge) and flexible (being able to deal with heterogeneous resources: raw text documents, semi-structured user-generated documents such Wikipedia articles or short and noisy tweets). The methods have been evaluated in different fields (Tourism, Oncology). This work is a first step towards the automatic semantic annotation of documents, needed to pave the way towards the Semantic Web vision.
Dytrych, Jaroslav. « Sémantická anotace textu ». Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-412580.
Texte intégralKhan, Arshad Ali. « Exploiting Linked Open Data (LoD) and Crowdsourcing-based semantic annotation & ; tagging in web repositories to improve and sustain relevance in search results ». Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/428046/.
Texte intégralBedoya, Ramos Daniel. « Capturing Musical Prosody Through Interactive Audio/Visual Annotations ». Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS698.
Texte intégralThe proliferation of citizen science projects has advanced research and knowledge across disciplines in recent years. Citizen scientists contribute to research through volunteer thinking, often by engaging in cognitive tasks using mobile devices, web interfaces, or personal computers, with the added benefit of fostering learning, innovation, and inclusiveness. In music, crowdsourcing has been applied to gather various structural annotations. However, citizen science remains underutilized in musical expressiveness studies. To bridge this gap, we introduce a novel annotation protocol to capture musical prosody, which refers to the acoustic variations performers introduce to make music expressive. Our top-down, human-centered method prioritizes the listener's role in producing annotations of prosodic functions in music. This protocol provides a citizen science framework and experimental approach to carrying out systematic and scalable studies on the functions of musical prosody. We focus on the segmentation and prominence functions, which convey structure and affect. We implement this annotation protocol in CosmoNote, a web-based, interactive, and customizable software conceived to facilitate the annotation of expressive music structures. CosmoNote gives users access to visualization layers, including the audio waveform, the recorded notes, extracted audio attributes (loudness and tempo), and score features (harmonic tension and other markings). The annotation types comprise boundaries of varying strengths, regions, comments, and note groups. We conducted two studies aimed at improving the protocol and the platform. The first study examines the impact of co-occurring auditory and visual stimuli on segmentation boundaries. We compare differences in boundary distributions derived from cross-modal (auditory and visual) vs. unimodal (auditory or visual) information. Distances between unimodal-visual and cross-modal distributions are smaller than between unimodal-auditory and cross-modal distributions. On the one hand, we show that adding visuals accentuates crucial information and provides cognitive scaffolding for accurately marking boundaries at the starts and ends of prosodic cues. However, they sometimes divert the annotator's attention away from specific structures. On the other hand, removing the audio impedes the annotation task by hiding subtle, relied-upon cues. Although visual cues may sometimes overemphasize or mislead, they are essential in guiding boundary annotations of recorded performances, often improving the aggregate results. The second study uses all CosmoNote's annotation types and analyzes how annotators, receiving either minimal or detailed protocol instructions, approach annotating musical prosody in a free-form exercise. We compare the quality of annotations between participants who are musically trained and those who are not. The citizen science component is evaluated in an ecological setting where participants are fully autonomous in a task where time, attention, and patience are valued. We present three methods based on common annotation labels, categories, and properties to analyze and aggregate the data. Results show convergence in annotation types and descriptions used to mark recurring musical elements across experimental conditions and musical abilities. We propose strategies for improving the protocol, data aggregation, and analysis in large-scale applications. This thesis contributes to representing and understanding performed musical structures by introducing an annotation protocol and platform, tailored experiments, and aggregation/analysis methods. The research shows the importance of balancing the collection of easier-to-analyze datasets and having richer content that captures complex musical thinking. Our protocol can be generalized to studies on performance decisions to improve the comprehension of expressive choices in musical performances
Furno, Domenico. « Hybrid approaches based on computational intelligence and semantic web for distributed situation and context awareness ». Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/927.
Texte intégralThe research work focuses on Situation Awareness and Context Awareness topics. Specifically, Situation Awareness involves being aware of what is happening in the vicinity to understand how information, events, and one’s own actions will impact goals and objectives, both immediately and in the near future. Thus, Situation Awareness is especially important in application domains where the information flow can be quite high and poor decisions making may lead to serious consequences. On the other hand Context Awareness is considered a process to support user applications to adapt interfaces, tailor the set of application-relevant data, increase the precision of information retrieval, discover services, make the user interaction implicit, or build smart environments. Despite being slightly different, Situation and Context Awareness involve common problems such as: the lack of a support for the acquisition and aggregation of dynamic environmental information from the field (i.e. sensors, cameras, etc.); the lack of formal approaches to knowledge representation (i.e. contexts, concepts, relations, situations, etc.) and processing (reasoning, classification, retrieval, discovery, etc.); the lack of automated and distributed systems, with considerable computing power, to support the reasoning on a huge quantity of knowledge, extracted by sensor data. So, the thesis researches new approaches for distributed Context and Situation Awareness and proposes to apply them in order to achieve some related research objectives such as knowledge representation, semantic reasoning, pattern recognition and information retrieval. The research work starts from the study and analysis of state of art in terms of techniques, technologies, tools and systems to support Context/Situation Awareness. The main aim is to develop a new contribution in this field by integrating techniques deriving from the fields of Semantic Web, Soft Computing and Computational Intelligence. From an architectural point of view, several frameworks are going to be defined according to the multi-agent paradigm. Furthermore, some preliminary experimental results have been obtained in some application domains such as Airport Security, Traffic Management, Smart Grids and Healthcare. Finally, future challenges is going to the following directions: Semantic Modeling of Fuzzy Control, Temporal Issues, Automatically Ontology Elicitation, Extension to other Application Domains and More Experiments. [edited by author]
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Livres sur le sujet "Web-based annotation"
Duffin, Richard. An annotator tool for Web based documents. [s.l : The Author], 1998.
Trouver le texte intégralBaldry, Anthony, et Francesca Coccetta. Web-Based Concordancing and Annotation : Self-Access Project Work and Syllabus Construction Through Structured Web Explorations. Equinox Publishing Limited, 2012.
Trouver le texte intégralBaldry, Anthony, et Francesca Coccetta. Web-Based Concordancing and Annotation : Self-Access Project Work and Syllabus Construction through Structured Web Explorations. Equinox Publishing Limited, 2012.
Trouver le texte intégralChapitres de livres sur le sujet "Web-based annotation"
Biemann, Chris, Kalina Bontcheva, Richard Eckart de Castilho, Iryna Gurevych et Seid Muhie Yimam. « Collaborative Web-Based Tools for Multi-layer Text Annotation ». Dans Handbook of Linguistic Annotation, 229–56. Dordrecht : Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-0881-2_8.
Texte intégralStoyanov, Todor. « Web-Based Software Tool for Electrocardiogram Annotation ». Dans Contemporary Methods in Bioinformatics and Biomedicine and Their Applications, 322–31. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96638-6_34.
Texte intégralLira, Cleber, et Paulo Caetano. « REST-Based Semantic Annotation of Web Services ». Dans Advances in Intelligent Systems and Computing, 269–79. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32467-8_25.
Texte intégralPereira Nunes, Bernardo, Ricardo Kawase, Stefan Dietze, Gilda Helena Bernardino de Campos et Wolfgang Nejdl. « Annotation Tool for Enhancing E-Learning Courses ». Dans Advances in Web-Based Learning - ICWL 2012, 51–60. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33642-3_6.
Texte intégralDesmontils, Emmanuel, Christine Jacquin et Ludovic Simon. « Dinosys : An Annotation Tool for Web-Based Learning ». Dans Advances in Web-Based Learning – ICWL 2004, 59–66. Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27859-7_8.
Texte intégralLlorente, Ainhoa, Enrico Motta et Stefan Rüger. « Image Annotation Refinement Using Web-Based Keyword Correlation ». Dans Semantic Multimedia, 188–91. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10543-2_22.
Texte intégralDraxler, Christoph. « WebTranscribe – An Extensible Web-Based Speech Annotation Framework ». Dans Text, Speech and Dialogue, 61–68. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551874_8.
Texte intégralAsami, Kazuhiro, et Takehiro Tokuda. « Generation of Web Applications from Annotation-Based Definitions ». Dans Engineering Information Systems in the Internet Context, 69–79. Boston, MA : Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35614-3_5.
Texte intégralRestagno, Luca, Vincent Akkermans, Giuseppe Rizzo et Antonio Servetti. « A Semantic Web Annotation Tool for a Web-Based Audio Sequencer ». Dans Lecture Notes in Computer Science, 289–303. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22233-7_20.
Texte intégralBertini, Marco, Alberto Del Bimbo et Giuseppe Serra. « Learning Rules for Semantic Video Event Annotation ». Dans Visual Information Systems. Web-Based Visual Information Search and Management, 192–203. Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85891-1_22.
Texte intégralActes de conférences sur le sujet "Web-based annotation"
Allegra, M., L. Seta, G. Chiazzese, G. Merlo, S. Ottaviano, G. Todaro et A. Chifari. « Cognitive Web Annotation using Multiple Sensory Channels ». Dans Web-based Education. Calgary,AB,Canada : ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.688-024.
Texte intégralStührenberg, Maik, Daniela Goecke, Nils Diewald, Alexander Mehler et Irene Cramer. « Web-based annotation of anaphoric relations and lexical chains ». Dans the Linguistic Annotation Workshop. Morristown, NJ, USA : Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1642059.1642082.
Texte intégralSmistad, Erik, Andreas Ostvik et Lasse Lovstakken. « Annotation Web - An open-source web-based annotation tool for ultrasound images ». Dans 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. http://dx.doi.org/10.1109/ius52206.2021.9593336.
Texte intégralHu, PengYu, Wei Fang et ZhiMing Cui. « Ontology-Based Deep Web Synchronous-Annotation ». Dans 2008 ISECS International Colloquium on Computing, Communication, Control, and Management. IEEE, 2008. http://dx.doi.org/10.1109/cccm.2008.79.
Texte intégral« WEB-BASED ANNOTATION AND COLLABORATION - Electronic Document Annotation Using a Standards-compliant Web Browser ». Dans 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001277803210329.
Texte intégralDi Martino, Beniamino, Antonio Esposito, Stefania Nacchia et Salvatore Augusto Maisto. « Semantic annotation of BPMN ». Dans iiWAS '15 : The 17th International Conference on Information Integration and Web-based Application & Services. New York, NY, USA : ACM, 2015. http://dx.doi.org/10.1145/2837185.2837257.
Texte intégralYuan, Bo, Qing-Cai Chen, Xiao-Long Wang et Li-Bo Liu. « Semantic annotation based financial web information reorganization ». Dans 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580681.
Texte intégralAsakawa, Chieko, et Hironobu Takagi. « Annotation-based transcoding for nonvisual web access ». Dans the fourth international ACM conference. New York, New York, USA : ACM Press, 2000. http://dx.doi.org/10.1145/354324.354588.
Texte intégralJing, Jinbiao, Xiangfeng Luo, Junyu Xuan et Weidong Liu. « Cognition-Based Semantic Annotation for Web Images ». Dans 2014 IEEE International Conference on Big Data and Cloud Computing (BdCloud). IEEE, 2014. http://dx.doi.org/10.1109/bdcloud.2014.65.
Texte intégralRui, Xiaoguang, Nenghai Yu, Taifeng Wang et Mingjing Li. « A Search-Based Web Image Annotation Method ». Dans Multimedia and Expo, 2007 IEEE International Conference on. IEEE, 2007. http://dx.doi.org/10.1109/icme.2007.4284735.
Texte intégralRapports d'organisations sur le sujet "Web-based annotation"
Fluhr, Robert, et Volker Brendel. Harnessing the genetic diversity engendered by alternative gene splicing. United States Department of Agriculture, décembre 2005. http://dx.doi.org/10.32747/2005.7696517.bard.
Texte intégralRodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences : Tools and Learning Resources. Inter-American Development Bank, février 2022. http://dx.doi.org/10.18235/0003982.
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