-
Notifications
You must be signed in to change notification settings - Fork 2
/
paper.bib
83 lines (83 loc) · 7.1 KB
/
paper.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
@article{Gray_2021,
doi = {10.37044/osf.io/v3jct},
url = {https://doi.org/10.37044%2Fosf.io%2Fv3jct},
year = 2021,
month = {jun},
publisher = {Center for Open Science},
author = {Alasdair J. G. Gray and Petros Papadopoulos and Ivan Mi{\v{c}}eti{\'{c}} and Andr{\'{a}}s Hatos},
title = {Exploiting Bioschemas Markup to Populate {IDPcentral}}
}
@inproceedings{Kl_mek_2017,
doi = {10.1145/3151759.3151809},
url = {https://doi.org/10.1145%2F3151759.3151809},
year = 2017,
month = {dec},
publisher = {{ACM}},
author = {Jakub Klimek and Petr {\v{S}}koda},
title = {{LinkedPipes} {ETL} in use},
booktitle = {Proceedings of the 19th International Conference on Information Integration and Web-based Applications's Services}
}
@article{Quaglia_2021,
author = {Quaglia, Federica and Mészáros, Bálint and Salladini, Edoardo and Hatos, András and Pancsa, Rita and Chemes, Lucía B and Pajkos, Mátyás and Lazar, Tamas and Peña-Díaz, Samuel and Santos, Jaime and Ács, Veronika and Farahi, Nazanin and Fichó, Erzsébet and Aspromonte, Maria Cristina and Bassot, Claudio and Chasapi, Anastasia and Davey, Norman E and Davidović, Radoslav and Dobson, Laszlo and Elofsson, Arne and Erdős, Gábor and Gaudet, Pascale and Giglio, Michelle and Glavina, Juliana and Iserte, Javier and Iglesias, Valentín and Kálmán, Zsófia and Lambrughi, Matteo and Leonardi, Emanuela and Longhi, Sonia and Macedo-Ribeiro, Sandra and Maiani, Emiliano and Marchetti, Julia and Marino-Buslje, Cristina and Mészáros, Attila and Monzon, Alexander Miguel and Minervini, Giovanni and Nadendla, Suvarna and Nilsson, Juliet F and Novotný, Marian and Ouzounis, Christos A and Palopoli, Nicolás and Papaleo, Elena and Pereira, Pedro José Barbosa and Pozzati, Gabriele and Promponas, Vasilis J and Pujols, Jordi and Rocha, Alma Carolina Sanchez and Salas, Martin and Sawicki, Luciana Rodriguez and Schad, Eva and Shenoy, Aditi and Szaniszló, Tamás and Tsirigos, Konstantinos D and Veljkovic, Nevena and Parisi, Gustavo and Ventura, Salvador and Dosztányi, Zsuzsanna and Tompa, Peter and Tosatto, Silvio C E and Piovesan, Damiano},
title = "{DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation}",
journal = {Nucleic Acids Research},
volume = {50},
number = {D1},
pages = {D480--D487},
year = {2021},
month = {11},
issn = {0305-1048},
doi = {10.1093/nar/gkab1082},
url = {https://doi.org/10.1093/nar/gkab1082},
eprint = {https://academic.oup.com/nar/article-pdf/50/D1/D480/42058329/gkab1082.pdf},
}
@article{Piovesan_2020,
author = {Piovesan, Damiano and Necci, Marco and Escobedo, Nahuel and Monzon, Alexander Miguel and Hatos, András and Mičetić, Ivan and Quaglia, Federica and Paladin, Lisanna and Ramasamy, Pathmanaban and Dosztányi, Zsuzsanna and Vranken, Wim F and Davey, Norman E and Parisi, Gustavo and Fuxreiter, Monika and Tosatto, Silvio C E},
title = "{MobiDB: intrinsically disordered proteins in 2021}",
journal = {Nucleic Acids Research},
volume = {49},
number = {D1},
pages = {D361--D367},
year = {2020},
month = {11},
issn = {0305-1048},
doi = {10.1093/nar/gkaa1058},
url = {https://doi.org/10.1093/nar/gkaa1058},
eprint = {https://academic.oup.com/nar/article-pdf/49/D1/D361/35363750/gkaa1058.pdf},
}
@article{Lazar_2020,
doi = {10.1093/nar/gkaa1021},
url = {https://doi.org/10.1093%2Fnar%2Fgkaa1021},
year = 2020,
month = {dec},
publisher = {Oxford University Press ({OUP})},
volume = {49},
number = {D1},
pages = {D404--D411},
author = {Tamas Lazar and Elizabeth Martinez-Perez and Federica Quaglia and Andras Hatos and Lucia~B Chemes and Javier A Iserte and Nicolas A Mendez and Nicolas A Garrone and Tadeo~E Saldano and Julia Marchetti and Ana~Julia~Velez Rueda and Pau Bernado and Martin Blackledge and Tiago N Cordeiro and Eric Fagerberg and Julie D Forman-Kay and Maria~S Fornasari and Toby J Gibson and Gregory-Neal W Gomes and Claudiu~C Gradinaru and Teresa Head-Gordon and Malene Ringkjo bing Jensen and Edward~A Lemke and Sonia Longhi and Cristina Marino-Buslje and Giovanni Minervini and Tanja Mittag and Alexander~Miguel Monzon and Rohit V Pappu and Gustavo Parisi and Sylvie Ricard-Blum and Kiersten M Ruff and Edoardo Salladini and Marie Skepö and Dmitri Svergun and Sylvain~D Vallet and Mihaly Varadi and Peter Tompa and Silvio C E Tosatto and Damiano Piovesan},
title = {{PED} in 2021: a major update of the protein ensemble database for intrinsically disordered proteins},
journal = {Nucleic Acids Research}
}
@inproceedings{8cbc7003c0f74e778be9bbd9e9354a15,
title = "Bioschemas: From Potato Salad to Protein Annotation",
abstract = "The life sciences have a wealth of data resources with a wide range of overlapping content. Key repositories, such as UniProt for protein data or Entrez Gene for gene data, are well known and their content easily discovered through search engines. However, there is a long-tail of bespoke datasets with important content that are not so prominent in search results. Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community (http://bioschemas.org) aim to make life sciences datasets more findable by encouraging data providers to embed Schema.org markup in their resources.",
author = "Gray, {Alasdair J. G.} and Carole Goble and Jimenez, {Rafael C.} and {Bioschemas Community}",
year = "2017",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS",
booktitle = "Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks",
note = "16th International Semantic Web Conference, ISWC2017 ; Conference date: 23-10-2017 Through 25-10-2017",
}
@book{8e3f54f09cd0481b9d826939a5d596a9,
title = "SKOS Simple Knowledge Organization System Reference",
abstract = "This document defines the Simple Knowledge Organization System (SKOS), a common data model for sharing and linking knowledge organization systems via the Web.Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications.The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL).This document is the normative specification of the Simple Knowledge Organization System. It is intended for readers who are involved in the design and implementation of information systems, and who already have a good understanding of Semantic Web technology, especially RDF and OWL.For an informative guide to using SKOS, see the [SKOS-PRIMER].",
author = "Alistair Miles and Sean Bechhofer",
year = "2009",
month = aug,
day = "18",
language = "English",
series = "W3C Recommendation",
publisher = "World Wide Web Consortium",
address = "United States",
}