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Best matches for Vizcaíno JA[au]:

The SysteMHC Atlas project. Shao W et al. Nucleic Acids Res. (2018)

Expanding the Use of Spectral Libraries in Proteomics. Deutsch EW et al. J Proteome Res. (2018)

Minimal Information About an Immuno-Peptidomics Experiment (MIAIPE). Lill JR et al. Proteomics. (2018)

Search results

Items: 1 to 50 of 123

1.

The functional landscape of the human phosphoproteome.

Ochoa D, Jarnuczak AF, Viéitez C, Gehre M, Soucheray M, Mateus A, Kleefeldt AA, Hill A, Garcia-Alonso L, Stein F, Krogan NJ, Savitski MM, Swaney DL, Vizcaíno JA, Noh KM, Beltrao P.

Nat Biotechnol. 2019 Dec 9. doi: 10.1038/s41587-019-0344-3. [Epub ahead of print]

PMID:
31819260
2.

The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.

Vizcaíno JA, Kubiniok P, Kovalchik KA, Ma Q, Duquette JD, Mongrain I, Deutsch EW, Peters B, Sette A, Sirois I, Caron E.

Mol Cell Proteomics. 2020 Jan;19(1):31-49. doi: 10.1074/mcp.R119.001743. Epub 2019 Nov 19.

PMID:
31744855
3.

The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.

Deutsch EW, Bandeira N, Sharma V, Perez-Riverol Y, Carver JJ, Kundu DJ, García-Seisdedos D, Jarnuczak AF, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, Hermjakob H, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA.

Nucleic Acids Res. 2020 Jan 8;48(D1):D1145-D1152. doi: 10.1093/nar/gkz984.

PMID:
31686107
4.

Expression Atlas update: from tissues to single cells.

Papatheodorou I, Moreno P, Manning J, Fuentes AM, George N, Fexova S, Fonseca NA, Füllgrabe A, Green M, Huang N, Huerta L, Iqbal H, Jianu M, Mohammed S, Zhao L, Jarnuczak AF, Jupp S, Marioni J, Meyer K, Petryszak R, Prada Medina CA, Talavera-López C, Teichmann S, Vizcaino JA, Brazma A.

Nucleic Acids Res. 2020 Jan 8;48(D1):D77-D83. doi: 10.1093/nar/gkz947.

PMID:
31665515
5.

Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics.

Walzer M, Vizcaíno JA.

Methods Mol Biol. 2020;2051:345-371. doi: 10.1007/978-1-4939-9744-2_15.

PMID:
31552637
6.

A five-level classification system for proteoform identifications.

Smith LM, Thomas PM, Shortreed MR, Schaffer LV, Fellers RT, LeDuc RD, Tucholski T, Ge Y, Agar JN, Anderson LC, Chamot-Rooke J, Gault J, Loo JA, Paša-Tolić L, Robinson CV, Schlüter H, Tsybin YO, Vilaseca M, Vizcaíno JA, Danis PO, Kelleher NL.

Nat Methods. 2019 Oct;16(10):939-940. doi: 10.1038/s41592-019-0573-x. No abstract available.

PMID:
31451767
7.

Does Asymmetric Hearing Loss Affect the Ability to Understand in Noisy Environments?

Barona R, Vizcaino JA, Krstulovic C, Barona L, Comeche C, Montalt J, Ubeda M, Polo C.

J Int Adv Otol. 2019 Aug;15(2):267-271. doi: 10.5152/iao.2019.5765.

8.

Quantifying the impact of public omics data.

Perez-Riverol Y, Zorin A, Dass G, Vu MT, Xu P, Glont M, Vizcaíno JA, Jarnuczak AF, Petryszak R, Ping P, Hermjakob H.

Nat Commun. 2019 Aug 5;10(1):3512. doi: 10.1038/s41467-019-11461-w.

9.

Proteomics Standards Initiative Extended FASTA Format.

Binz PA, Shofstahl J, Vizcaíno JA, Barsnes H, Chalkley RJ, Menschaert G, Alpi E, Clauser K, Eng JK, Lane L, Seymour SL, Sánchez LFH, Mayer G, Eisenacher M, Perez-Riverol Y, Kapp EA, Mendoza L, Baker PR, Collins A, Van Den Bossche T, Deutsch EW.

J Proteome Res. 2019 Jun 7;18(6):2686-2692. doi: 10.1021/acs.jproteome.9b00064. Epub 2019 May 23.

10.

Quantitative Proteomics Data in the Public Domain: Challenges and Opportunities.

Jarnuczak AF, Ternent T, Vizcaíno JA.

Methods Mol Biol. 2019;1977:217-235. doi: 10.1007/978-1-4939-9232-4_14.

PMID:
30980331
11.

Spectral Clustering Improves Label-Free Quantification of Low-Abundant Proteins.

Griss J, Stanek F, Hudecz O, Dürnberger G, Perez-Riverol Y, Vizcaíno JA, Mechtler K.

J Proteome Res. 2019 Apr 5;18(4):1477-1485. doi: 10.1021/acs.jproteome.8b00377. Epub 2019 Mar 22.

12.

mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics.

Hoffmann N, Rein J, Sachsenberg T, Hartler J, Haug K, Mayer G, Alka O, Dayalan S, Pearce JTM, Rocca-Serra P, Qi D, Eisenacher M, Perez-Riverol Y, Vizcaíno JA, Salek RM, Neumann S, Jones AR.

Anal Chem. 2019 Mar 5;91(5):3302-3310. doi: 10.1021/acs.analchem.8b04310. Epub 2019 Feb 13.

13.

The PRIDE database and related tools and resources in 2019: improving support for quantification data.

Perez-Riverol Y, Csordas A, Bai J, Bernal-Llinares M, Hewapathirana S, Kundu DJ, Inuganti A, Griss J, Mayer G, Eisenacher M, Pérez E, Uszkoreit J, Pfeuffer J, Sachsenberg T, Yilmaz S, Tiwary S, Cox J, Audain E, Walzer M, Jarnuczak AF, Ternent T, Brazma A, Vizcaíno JA.

Nucleic Acids Res. 2019 Jan 8;47(D1):D442-D450. doi: 10.1093/nar/gky1106.

14.

Expanding the Use of Spectral Libraries in Proteomics.

Deutsch EW, Perez-Riverol Y, Chalkley RJ, Wilhelm M, Tate S, Sachsenberg T, Walzer M, Käll L, Delanghe B, Böcker S, Schymanski EL, Wilmes P, Dorfer V, Kuster B, Volders PJ, Jehmlich N, Vissers JPC, Wolan DW, Wang AY, Mendoza L, Shofstahl J, Dowsey AW, Griss J, Salek RM, Neumann S, Binz PA, Lam H, Vizcaíno JA, Bandeira N, Röst H.

J Proteome Res. 2018 Dec 7;17(12):4051-4060. doi: 10.1021/acs.jproteome.8b00485. Epub 2018 Oct 11. Review.

15.

Future Prospects of Spectral Clustering Approaches in Proteomics.

Perez-Riverol Y, Vizcaíno JA, Griss J.

Proteomics. 2018 Jul;18(14):e1700454. doi: 10.1002/pmic.201700454.

16.

Minimal Information About an Immuno-Peptidomics Experiment (MIAIPE).

Lill JR, van Veelen PA, Tenzer S, Admon A, Caron E, Elias JE, Heck AJR, Marcilla M, Marino F, Müller M, Peters B, Purcell A, Sette A, Sturm T, Ternette N, Vizcaíno JA, Bassani-Sternberg M.

Proteomics. 2018 Jun;18(12):e1800110. doi: 10.1002/pmic.201800110.

17.

Response to "Comparison and Evaluation of Clustering Algorithms for Tandem Mass Spectra".

Griss J, Perez-Riverol Y, The M, Käll L, Vizcaíno JA.

J Proteome Res. 2018 May 4;17(5):1993-1996. doi: 10.1021/acs.jproteome.7b00824. Epub 2018 Apr 25.

PMID:
29682973
18.

ProForma: A Standard Proteoform Notation.

LeDuc RD, Schwämmle V, Shortreed MR, Cesnik AJ, Solntsev SK, Shaw JB, Martin MJ, Vizcaino JA, Alpi E, Danis P, Kelleher NL, Smith LM, Ge Y, Agar JN, Chamot-Rooke J, Loo JA, Pasa-Tolic L, Tsybin YO.

J Proteome Res. 2018 Mar 2;17(3):1321-1325. doi: 10.1021/acs.jproteome.7b00851. Epub 2018 Feb 14.

19.

The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data.

Menschaert G, Wang X, Jones AR, Ghali F, Fenyö D, Olexiouk V, Zhang B, Deutsch EW, Ternent T, Vizcaíno JA.

Genome Biol. 2018 Jan 31;19(1):12. doi: 10.1186/s13059-017-1377-x.

20.

Accurate and fast feature selection workflow for high-dimensional omics data.

Perez-Riverol Y, Kuhn M, Vizcaíno JA, Hitz MP, Audain E.

PLoS One. 2017 Dec 20;12(12):e0189875. doi: 10.1371/journal.pone.0189875. eCollection 2017.

21.

Expression Atlas: gene and protein expression across multiple studies and organisms.

Papatheodorou I, Fonseca NA, Keays M, Tang YA, Barrera E, Bazant W, Burke M, Füllgrabe A, Fuentes AM, George N, Huerta L, Koskinen S, Mohammed S, Geniza M, Preece J, Jaiswal P, Jarnuczak AF, Huber W, Stegle O, Vizcaino JA, Brazma A, Petryszak R.

Nucleic Acids Res. 2018 Jan 4;46(D1):D246-D251. doi: 10.1093/nar/gkx1158.

22.

The SysteMHC Atlas project.

Shao W, Pedrioli PGA, Wolski W, Scurtescu C, Schmid E, Vizcaíno JA, Courcelles M, Schuster H, Kowalewski D, Marino F, Arlehamn CSL, Vaughan K, Peters B, Sette A, Ottenhoff THM, Meijgaarden KE, Nieuwenhuizen N, Kaufmann SHE, Schlapbach R, Castle JC, Nesvizhskii AI, Nielsen M, Deutsch EW, Campbell DS, Moritz RL, Zubarev RA, Ytterberg AJ, Purcell AW, Marcilla M, Paradela A, Wang Q, Costello CE, Ternette N, van Veelen PA, van Els CACM, Heck AJR, de Souza GA, Sollid LM, Admon A, Stevanovic S, Rammensee HG, Thibault P, Perreault C, Bassani-Sternberg M, Aebersold R, Caron E.

Nucleic Acids Res. 2018 Jan 4;46(D1):D1237-D1247. doi: 10.1093/nar/gkx664.

23.

Enhanced Missing Proteins Detection in NCI60 Cell Lines Using an Integrative Search Engine Approach.

Guruceaga E, Garin-Muga A, Prieto G, Bejarano B, Marcilla M, Marín-Vicente C, Perez-Riverol Y, Casal JI, Vizcaíno JA, Corrales FJ, Segura V.

J Proteome Res. 2017 Dec 1;16(12):4374-4390. doi: 10.1021/acs.jproteome.7b00388. Epub 2017 Oct 11.

24.

Using the PRIDE Database and ProteomeXchange for Submitting and Accessing Public Proteomics Datasets.

Jarnuczak AF, Vizcaíno JA.

Curr Protoc Bioinformatics. 2017 Sep 13;59:13.31.1-13.31.12. doi: 10.1002/cpbi.30.

PMID:
28902400
25.

Proteomics Standards Initiative: Fifteen Years of Progress and Future Work.

Deutsch EW, Orchard S, Binz PA, Bittremieux W, Eisenacher M, Hermjakob H, Kawano S, Lam H, Mayer G, Menschaert G, Perez-Riverol Y, Salek RM, Tabb DL, Tenzer S, Vizcaíno JA, Walzer M, Jones AR.

J Proteome Res. 2017 Dec 1;16(12):4288-4298. doi: 10.1021/acs.jproteome.7b00370. Epub 2017 Sep 15.

26.

OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets.

Perez-Riverol Y, Ternent T, Koch M, Barsnes H, Vrousgou O, Jupp S, Vizcaíno JA.

Proteomics. 2017 Oct;17(19). doi: 10.1002/pmic.201700244.

27.

A community proposal to integrate proteomics activities in ELIXIR.

Vizcaíno JA, Walzer M, Jiménez RC, Bittremieux W, Bouyssié D, Carapito C, Corrales F, Ferro M, Heck AJR, Horvatovich P, Hubalek M, Lane L, Laukens K, Levander F, Lisacek F, Novak P, Palmblad M, Piovesan D, Pühler A, Schwämmle V, Valkenborg D, van Rijswijk M, Vondrasek J, Eisenacher M, Martens L, Kohlbacher O.

F1000Res. 2017 Jun 13;6. pii: ELIXIR-875. doi: 10.12688/f1000research.11751.1. eCollection 2017.

28.

The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics.

Vizcaíno JA, Mayer G, Perkins S, Barsnes H, Vaudel M, Perez-Riverol Y, Ternent T, Uszkoreit J, Eisenacher M, Fischer L, Rappsilber J, Netz E, Walzer M, Kohlbacher O, Leitner A, Chalkley RJ, Ghali F, Martínez-Bartolomé S, Deutsch EW, Jones AR.

Mol Cell Proteomics. 2017 Jul;16(7):1275-1285. doi: 10.1074/mcp.M117.068429. Epub 2017 May 17.

29.

Discovering and linking public omics data sets using the Omics Discovery Index.

Perez-Riverol Y, Bai M, da Veiga Leprevost F, Squizzato S, Park YM, Haug K, Carroll AJ, Spalding D, Paschall J, Wang M, Del-Toro N, Ternent T, Zhang P, Buso N, Bandeira N, Deutsch EW, Campbell DS, Beavis RC, Salek RM, Sarkans U, Petryszak R, Keays M, Fahy E, Sud M, Subramaniam S, Barbera A, Jiménez RC, Nesvizhskii AI, Sansone SA, Steinbeck C, Lopez R, Vizcaíno JA, Ping P, Hermjakob H.

Nat Biotechnol. 2017 May 9;35(5):406-409. doi: 10.1038/nbt.3790. No abstract available.

30.

Synthetic human proteomes for accelerating protein research.

Perez-Riverol Y, Vizcaíno JA.

Nat Methods. 2017 Feb 28;14(3):240-242. doi: 10.1038/nmeth.4191. No abstract available.

PMID:
28245213
31.

A Golden Age for Working with Public Proteomics Data.

Martens L, Vizcaíno JA.

Trends Biochem Sci. 2017 May;42(5):333-341. doi: 10.1016/j.tibs.2017.01.001. Epub 2017 Jan 22. Review.

32.

The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.

Deutsch EW, Csordas A, Sun Z, Jarnuczak A, Perez-Riverol Y, Ternent T, Campbell DS, Bernal-Llinares M, Okuda S, Kawano S, Moritz RL, Carver JJ, Wang M, Ishihama Y, Bandeira N, Hermjakob H, Vizcaíno JA.

Nucleic Acids Res. 2017 Jan 4;45(D1):D1100-D1106. doi: 10.1093/nar/gkw936. Epub 2016 Oct 18.

33.

Erratum to: Making sense of big data in health research: towards an EU action plan.

Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Devilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar HJ, Guo YK, Gut IG, Hanbury A, Hanif S, Hilgers RD, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, Lanfear J, Lengauer T, Maes E, Meert T, Müller W, Nickel D, Oledzki P, Pedersen B, Petkovic M, Pliakos K, Rattray M, I Màs JR, Schneider R, Sengstag T, Serra-Picamal X, Spek W, Vaas LA, van Batenburg O, Vandelaer M, Varnai P, Villoslada P, Vizcaíno JA, Wubbe JP, Zanetti G.

Genome Med. 2016 Nov 7;8(1):118. No abstract available.

34.

Detection of Missing Proteins Using the PRIDE Database as a Source of Mass Spectrometry Evidence.

Garin-Muga A, Odriozola L, Martínez-Val A, Del Toro N, Martínez R, Molina M, Cantero L, Rivera R, Garrido N, Dominguez F, Sanchez Del Pino MM, Vizcaíno JA, Corrales FJ, Segura V.

J Proteome Res. 2016 Nov 4;15(11):4101-4115. Epub 2016 Sep 15.

35.

2016 update of the PRIDE database and its related tools.

Vizcaíno JA, Csordas A, Del-Toro N, Dianes JA, Griss J, Lavidas I, Mayer G, Perez-Riverol Y, Reisinger F, Ternent T, Xu QW, Wang R, Hermjakob H.

Nucleic Acids Res. 2016 Dec 15;44(22):11033. Epub 2016 Sep 28. No abstract available.

36.

Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets.

Griss J, Perez-Riverol Y, Lewis S, Tabb DL, Dianes JA, Del-Toro N, Rurik M, Walzer MW, Kohlbacher O, Hermjakob H, Wang R, Vizcaíno JA.

Nat Methods. 2016 Aug;13(8):651-656. Epub 2016 Jun 27.

37.

Ten Simple Rules for Taking Advantage of Git and GitHub.

Perez-Riverol Y, Gatto L, Wang R, Sachsenberg T, Uszkoreit J, Leprevost Fda V, Fufezan C, Ternent T, Eglen SJ, Katz DS, Pollard TJ, Konovalov A, Flight RM, Blin K, Vizcaíno JA.

PLoS Comput Biol. 2016 Jul 14;12(7):e1004947. doi: 10.1371/journal.pcbi.1004947. eCollection 2016 Jul. No abstract available. Erratum in: PLoS Comput Biol. 2019 Jun 14;15(6):e1007142.

38.

Making sense of big data in health research: Towards an EU action plan.

Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, Bernal-Delgado E, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Devilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar HJ, Guo YK, Gut IG, Hanbury A, Hanif S, Hilgers RD, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, Lanfear J, Lengauer T, Maes E, Meert T, Müller W, Nickel D, Oledzki P, Pedersen B, Petkovic M, Pliakos K, Rattray M, I Màs JR, Schneider R, Sengstag T, Serra-Picamal X, Spek W, Vaas LA, van Batenburg O, Vandelaer M, Varnai P, Villoslada P, Vizcaíno JA, Wubbe JP, Zanetti G.

Genome Med. 2016 Jun 23;8(1):71. doi: 10.1186/s13073-016-0323-y. Erratum in: Genome Med. 2016 Nov 7;8(1):118.

39.

Acute Q Fever Presenting with Multi-Organ Failure: Re-Evaluation of the Initial Diagnosis.

Villalba NL, Ortiz MBA, Sanjuan LR, Vizcaíno JA, Ortega SS.

Eur J Case Rep Intern Med. 2016 May 25;3(4):000423. doi: 10.12890/2016_000423. eCollection 2016.

40.

PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets.

Perez-Riverol Y, Xu QW, Wang R, Uszkoreit J, Griss J, Sanchez A, Reisinger F, Csordas A, Ternent T, Del-Toro N, Dianes JA, Eisenacher M, Hermjakob H, Vizcaíno JA.

Mol Cell Proteomics. 2016 Jan;15(1):305-17. doi: 10.1074/mcp.O115.050229. Epub 2015 Nov 6.

41.

2016 update of the PRIDE database and its related tools.

Vizcaíno JA, Csordas A, del-Toro N, Dianes JA, Griss J, Lavidas I, Mayer G, Perez-Riverol Y, Reisinger F, Ternent T, Xu QW, Wang R, Hermjakob H.

Nucleic Acids Res. 2016 Jan 4;44(D1):D447-56. doi: 10.1093/nar/gkv1145. Epub 2015 Nov 2. Erratum in: Nucleic Acids Res. 2016 Dec 15;44(22):11033.

42.

Exploring the potential of public proteomics data.

Vaudel M, Verheggen K, Csordas A, Raeder H, Berven FS, Martens L, Vizcaíno JA, Barsnes H.

Proteomics. 2016 Jan;16(2):214-25. doi: 10.1002/pmic.201500295. Epub 2015 Dec 15. Review.

43.

Delicate Metabolic Control and Coordinated Stress Response Critically Determine Antifungal Tolerance of Candida albicans Biofilm Persisters.

Li P, Seneviratne CJ, Alpi E, Vizcaino JA, Jin L.

Antimicrob Agents Chemother. 2015 Oct;59(10):6101-12. doi: 10.1128/AAC.00543-15. Epub 2015 Jul 20.

44.

Quest for Missing Proteins: Update 2015 on Chromosome-Centric Human Proteome Project.

Horvatovich P, Lundberg EK, Chen YJ, Sung TY, He F, Nice EC, Goode RJ, Yu S, Ranganathan S, Baker MS, Domont GB, Velasquez E, Li D, Liu S, Wang Q, He QY, Menon R, Guan Y, Corrales FJ, Segura V, Casal JI, Pascual-Montano A, Albar JP, Fuentes M, Gonzalez-Gonzalez M, Diez P, Ibarrola N, Degano RM, Mohammed Y, Borchers CH, Urbani A, Soggiu A, Yamamoto T, Salekdeh GH, Archakov A, Ponomarenko E, Lisitsa A, Lichti CF, Mostovenko E, Kroes RA, Rezeli M, Végvári Á, Fehniger TE, Bischoff R, Vizcaíno JA, Deutsch EW, Lane L, Nilsson CL, Marko-Varga G, Omenn GS, Jeong SK, Lim JS, Paik YK, Hancock WS.

J Proteome Res. 2015 Sep 4;14(9):3415-31. doi: 10.1021/pr5013009. Epub 2015 Jul 23.

45.

ms-data-core-api: an open-source, metadata-oriented library for computational proteomics.

Perez-Riverol Y, Uszkoreit J, Sanchez A, Ternent T, Del Toro N, Hermjakob H, Vizcaíno JA, Wang R.

Bioinformatics. 2015 Sep 1;31(17):2903-5. doi: 10.1093/bioinformatics/btv250. Epub 2015 Apr 24.

46.

Introducing the PRIDE Archive RESTful web services.

Reisinger F, del-Toro N, Ternent T, Hermjakob H, Vizcaíno JA.

Nucleic Acids Res. 2015 Jul 1;43(W1):W599-604. doi: 10.1093/nar/gkv382. Epub 2015 Apr 22.

47.

Proteomics data visualisation.

Vizcaíno JA, Barsnes H, Hermjakob H.

Proteomics. 2015 Apr;15(8):1339-40. doi: 10.1002/pmic.201570063. No abstract available.

PMID:
25854789
48.

Development of data representation standards by the human proteome organization proteomics standards initiative.

Deutsch EW, Albar JP, Binz PA, Eisenacher M, Jones AR, Mayer G, Omenn GS, Orchard S, Vizcaíno JA, Hermjakob H.

J Am Med Inform Assoc. 2015 May;22(3):495-506. doi: 10.1093/jamia/ocv001. Epub 2015 Feb 28. Review.

49.

A public repository for mass spectrometry imaging data.

Römpp A, Wang R, Albar JP, Urbani A, Hermjakob H, Spengler B, Vizcaíno JA.

Anal Bioanal Chem. 2015 Mar;407(8):2027-33. doi: 10.1007/s00216-014-8357-8. No abstract available.

50.

Open source libraries and frameworks for biological data visualisation: a guide for developers.

Wang R, Perez-Riverol Y, Hermjakob H, Vizcaíno JA.

Proteomics. 2015 Apr;15(8):1356-74. doi: 10.1002/pmic.201400377. Epub 2015 Feb 5. Review.

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