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Four simple recommendations to encourage best practices in research software.

F1000Research

Jiménez RC, Kuzak M, Alhamdoosh M, Barker M, Batut B, Borg M, Capella-Gutierrez S, Chue Hong N, Cook M, Corpas M, Flannery M, Garcia L, Gelpí JL, Gladman S, Goble C, González Ferreiro M, Gonzalez-Beltran A, Griffin PC, Grüning B, Hagberg J, Holub P, Hooft R, Ison J, Katz DS, Leskošek B, López Gómez F, Oliveira LJ, Mellor D, Mosbergen R, Mulder N, Perez-Riverol Y, Pergl R, Pichler H, Pope B, Sanz F, Schneider MV, Stodden V, Suchecki R, Svobodová Vařeková R, Talvik HA, Todorov I, Treloar A, Tyagi S, van Gompel M, Vaughan D, Via A, Wang X, Watson-Haigh NS, Crouch S.
PMID: 28751965
F1000Res. 2017 Jun 13;6. doi: 10.12688/f1000research.11407.1. eCollection 2017.

Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provide simple recommendations that...

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Jiménez RC, Kuzak M, Alhamdoosh M, et al. Four simple recommendations to encourage best practices in research software. F1000Res. 2017;6doi: 10.12688/f1000research.11407.1.
Jiménez, R. C., Kuzak, M., Alhamdoosh, M., Barker, M., Batut, B., Borg, M., Capella-Gutierrez, S., Chue Hong, N., Cook, M., Corpas, M., Flannery, M., Garcia, L., Gelpí, J. L., Gladman, S., Goble, C., González Ferreiro, M., Gonzalez-Beltran, A., Griffin, P. C., Grüning, B., Hagberg, J., Holub, P., Hooft, R., Ison, J., Katz, D. S., Leskošek, B., López Gómez, F., Oliveira, L. J., Mellor, D., Mosbergen, R., Mulder, N., Perez-Riverol, Y., Pergl, R., Pichler, H., Pope, B., Sanz, F., Schneider, M. V., Stodden, V., Suchecki, R., Svobodová Vařeková, R., Talvik, H. A., Todorov, I., Treloar, A., Tyagi, S., van Gompel, M., Vaughan, D., Via, A., Wang, X., Watson-Haigh, N. S., & Crouch, S. (2017). Four simple recommendations to encourage best practices in research software. F1000Research, 6. https://doi.org/10.12688/f1000research.11407.1
Jiménez, Rafael C, et al. "Four simple recommendations to encourage best practices in research software." F1000Research vol. 6 (2017). doi: https://doi.org/10.12688/f1000research.11407.1
Jiménez RC, Kuzak M, Alhamdoosh M, Barker M, Batut B, Borg M, Capella-Gutierrez S, Chue Hong N, Cook M, Corpas M, Flannery M, Garcia L, Gelpí JL, Gladman S, Goble C, González Ferreiro M, Gonzalez-Beltran A, Griffin PC, Grüning B, Hagberg J, Holub P, Hooft R, Ison J, Katz DS, Leskošek B, López Gómez F, Oliveira LJ, Mellor D, Mosbergen R, Mulder N, Perez-Riverol Y, Pergl R, Pichler H, Pope B, Sanz F, Schneider MV, Stodden V, Suchecki R, Svobodová Vařeková R, Talvik HA, Todorov I, Treloar A, Tyagi S, van Gompel M, Vaughan D, Via A, Wang X, Watson-Haigh NS, Crouch S. Four simple recommendations to encourage best practices in research software. F1000Res. 2017 Jun 13;6. doi: 10.12688/f1000research.11407.1. eCollection 2017. PMID: 28751965; PMCID: PMC5490478.
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Recommendations for the packaging and containerizing of bioinformatics software.

F1000Research

Gruening B, Sallou O, Moreno P, da Veiga Leprevost F, Ménager H, Søndergaard D, Röst H, Sachsenberg T, O'Connor B, Madeira F, Dominguez Del Angel V, Crusoe MR, Varma S, Blankenberg D, Jimenez RC, Perez-Riverol Y.
PMID: 31543945
F1000Res. 2018 Jun 14;7. doi: 10.12688/f1000research.15140.2. eCollection 2018.

Software Containers are changing the way scientists and researchers develop, deploy and exchange scientific software. They allow labs of all sizes to easily install bioinformatics software, maintain multiple versions of the same software and combine tools into powerful analysis...

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Gruening B, Sallou O, Moreno P, et al. Recommendations for the packaging and containerizing of bioinformatics software. F1000Res. 2018;7doi: 10.12688/f1000research.15140.2.
Gruening, B., Sallou, O., Moreno, P., da Veiga Leprevost, F., Ménager, H., Søndergaard, D., Röst, H., Sachsenberg, T., O'Connor, B., Madeira, F., Dominguez Del Angel, V., Crusoe, M. R., Varma, S., Blankenberg, D., Jimenez, R. C., & Perez-Riverol, Y. (2018). Recommendations for the packaging and containerizing of bioinformatics software. F1000Research, 7. https://doi.org/10.12688/f1000research.15140.2
Gruening, Bjorn, et al. "Recommendations for the packaging and containerizing of bioinformatics software." F1000Research vol. 7 (2018). doi: https://doi.org/10.12688/f1000research.15140.2
Gruening B, Sallou O, Moreno P, da Veiga Leprevost F, Ménager H, Søndergaard D, Röst H, Sachsenberg T, O'Connor B, Madeira F, Dominguez Del Angel V, Crusoe MR, Varma S, Blankenberg D, Jimenez RC, Perez-Riverol Y. Recommendations for the packaging and containerizing of bioinformatics software. F1000Res. 2018 Jun 14;7. doi: 10.12688/f1000research.15140.2. eCollection 2018. PMID: 31543945; PMCID: PMC6738188.
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The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS): an open community for bioinformatics training and research.

Rapid communications in mass spectrometry : RCM

Bittremieux W, Bouyssié D, Dorfer V, Locard-Paulet M, Perez-Riverol Y, Schwämmle V, Uszkoreit J, Van Den Bossche T.
PMID: 33861485
Rapid Commun Mass Spectrom. 2021 Apr 16;e9087. doi: 10.1002/rcm.9087. Epub 2021 Apr 16.

The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS; eubic-ms.org) was founded in 2014 to unite European computational mass spectrometry researchers and proteomics bioinformaticians working in academia and industry. EuBIC-MS maintains educational resources (proteomics-academy.org) and organises workshops at national and...

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Bittremieux W, Bouyssié D, Dorfer V, et al. The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS): an open community for bioinformatics training and research. Rapid Commun Mass Spectrom. 2021;e9087doi: 10.1002/rcm.9087.
Bittremieux, W., Bouyssié, D., Dorfer, V., Locard-Paulet, M., Perez-Riverol, Y., Schwämmle, V., Uszkoreit, J., & Van Den Bossche, T. (2021). The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS): an open community for bioinformatics training and research. Rapid communications in mass spectrometry : RCM, e9087. https://doi.org/10.1002/rcm.9087
Bittremieux, Wout, et al. "The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS): an open community for bioinformatics training and research." Rapid communications in mass spectrometry : RCM vol. (2021): e9087. doi: https://doi.org/10.1002/rcm.9087
Bittremieux W, Bouyssié D, Dorfer V, Locard-Paulet M, Perez-Riverol Y, Schwämmle V, Uszkoreit J, Van Den Bossche T. The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS): an open community for bioinformatics training and research. Rapid Commun Mass Spectrom. 2021 Apr 16;e9087. doi: 10.1002/rcm.9087. Epub 2021 Apr 16. PMID: 33861485.
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MaxDIA enables library-based and library-free data-independent acquisition proteomics.

Nature biotechnology

Sinitcyn P, Hamzeiy H, Salinas Soto F, Itzhak D, McCarthy F, Wichmann C, Steger M, Ohmayer U, Distler U, Kaspar-Schoenefeld S, Prianichnikov N, Yılmaz Ş, Rudolph JD, Tenzer S, Perez-Riverol Y, Nagaraj N, Humphrey SJ, Cox J.
PMID: 34239088
Nat Biotechnol. 2021 Dec;39(12):1563-1573. doi: 10.1038/s41587-021-00968-7. Epub 2021 Jul 08.

MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves deep proteome coverage with substantially better coefficients of variation in protein quantification than other software. MaxDIA is...

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Sinitcyn P, Hamzeiy H, Salinas Soto F, et al. MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nat Biotechnol. 2021;39(12):1563-1573doi: 10.1038/s41587-021-00968-7.
Sinitcyn, P., Hamzeiy, H., Salinas Soto, F., Itzhak, D., McCarthy, F., Wichmann, C., Steger, M., Ohmayer, U., Distler, U., Kaspar-Schoenefeld, S., Prianichnikov, N., Yılmaz, �. �., Rudolph, J. D., Tenzer, S., Perez-Riverol, Y., Nagaraj, N., Humphrey, S. J., & Cox, J. (2021). MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nature biotechnology, 39(12), 1563-1573. https://doi.org/10.1038/s41587-021-00968-7
Sinitcyn, Pavel, et al. "MaxDIA enables library-based and library-free data-independent acquisition proteomics." Nature biotechnology vol. 39,12 (2021): 1563-1573. doi: https://doi.org/10.1038/s41587-021-00968-7
Sinitcyn P, Hamzeiy H, Salinas Soto F, Itzhak D, McCarthy F, Wichmann C, Steger M, Ohmayer U, Distler U, Kaspar-Schoenefeld S, Prianichnikov N, Yılmaz Ş, Rudolph JD, Tenzer S, Perez-Riverol Y, Nagaraj N, Humphrey SJ, Cox J. MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nat Biotechnol. 2021 Dec;39(12):1563-1573. doi: 10.1038/s41587-021-00968-7. Epub 2021 Jul 08. PMID: 34239088.
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A proteomics sample metadata representation for multiomics integration and big data analysis.

Nature communications

Dai C, Füllgrabe A, Pfeuffer J, Solovyeva EM, Deng J, Moreno P, Kamatchinathan S, Kundu DJ, George N, Fexova S, Grüning B, Föll MC, Griss J, Vaudel M, Audain E, Locard-Paulet M, Turewicz M, Eisenacher M, Uszkoreit J, Van Den Bossche T, Schwämmle V, Webel H, Schulze S, Bouyssié D, Jayaram S, Duggineni VK, Samaras P, Wilhelm M, Choi M, Wang M, Kohlbacher O, Brazma A, Papatheodorou I, Bandeira N, Deutsch EW, Vizcaíno JA, Bai M, Sachsenberg T, Levitsky LI, Perez-Riverol Y.
PMID: 34615866
Nat Commun. 2021 Oct 06;12(1):5854. doi: 10.1038/s41467-021-26111-3.

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...

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Dai C, Füllgrabe A, Pfeuffer J, et al. A proteomics sample metadata representation for multiomics integration and big data analysis. Nat Commun. 2021;12(1):5854doi: 10.1038/s41467-021-26111-3.
Dai, C., Füllgrabe, A., Pfeuffer, J., Solovyeva, E. M., Deng, J., Moreno, P., Kamatchinathan, S., Kundu, D. J., George, N., Fexova, S., Grüning, B., Föll, M. C., Griss, J., Vaudel, M., Audain, E., Locard-Paulet, M., Turewicz, M., Eisenacher, M., Uszkoreit, J., Van Den Bossche, T., Schwämmle, V., Webel, H., Schulze, S., Bouyssié, D., Jayaram, S., Duggineni, V. K., Samaras, P., Wilhelm, M., Choi, M., Wang, M., Kohlbacher, O., Brazma, A., Papatheodorou, I., Bandeira, N., Deutsch, E. W., Vizcaíno, J. A., Bai, M., Sachsenberg, T., Levitsky, L. I., & Perez-Riverol, Y. (2021). A proteomics sample metadata representation for multiomics integration and big data analysis. Nature communications, 12(1), 5854. https://doi.org/10.1038/s41467-021-26111-3
Dai, Chengxin, et al. "A proteomics sample metadata representation for multiomics integration and big data analysis." Nature communications vol. 12,1 (2021): 5854. doi: https://doi.org/10.1038/s41467-021-26111-3
Dai C, Füllgrabe A, Pfeuffer J, Solovyeva EM, Deng J, Moreno P, Kamatchinathan S, Kundu DJ, George N, Fexova S, Grüning B, Föll MC, Griss J, Vaudel M, Audain E, Locard-Paulet M, Turewicz M, Eisenacher M, Uszkoreit J, Van Den Bossche T, Schwämmle V, Webel H, Schulze S, Bouyssié D, Jayaram S, Duggineni VK, Samaras P, Wilhelm M, Choi M, Wang M, Kohlbacher O, Brazma A, Papatheodorou I, Bandeira N, Deutsch EW, Vizcaíno JA, Bai M, Sachsenberg T, Levitsky LI, Perez-Riverol Y. A proteomics sample metadata representation for multiomics integration and big data analysis. Nat Commun. 2021 Oct 06;12(1):5854. doi: 10.1038/s41467-021-26111-3. PMID: 34615866; PMCID: PMC8494749.
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The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.

Nucleic acids research

Perez-Riverol Y, Bai J, Bandla C, García-Seisdedos D, Hewapathirana S, Kamatchinathan S, Kundu DJ, Prakash A, Frericks-Zipper A, Eisenacher M, Walzer M, Wang S, Brazma A, Vizcaíno JA.
PMID: 34723319
Nucleic Acids Res. 2022 Jan 07;50:D543-D552. doi: 10.1093/nar/gkab1038.

The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world's largest data repository of mass spectrometry-based proteomics data. PRIDE is one of the founding members of the global ProteomeXchange (PX) consortium and an ELIXIR core data resource. In this manuscript,...

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Perez-Riverol Y, Bai J, Bandla C, et al. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 2022;50:D543-D552doi: 10.1093/nar/gkab1038.
Perez-Riverol, Y., Bai, J., Bandla, C., García-Seisdedos, D., Hewapathirana, S., Kamatchinathan, S., Kundu, D. J., Prakash, A., Frericks-Zipper, A., Eisenacher, M., Walzer, M., Wang, S., Brazma, A., & Vizcaíno, J. A. (2022). The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic acids research, 50D543-D552. https://doi.org/10.1093/nar/gkab1038
Perez-Riverol, Yasset, et al. "The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences." Nucleic acids research vol. 50 (2022): D543-D552. doi: https://doi.org/10.1093/nar/gkab1038
Perez-Riverol Y, Bai J, Bandla C, García-Seisdedos D, Hewapathirana S, Kamatchinathan S, Kundu DJ, Prakash A, Frericks-Zipper A, Eisenacher M, Walzer M, Wang S, Brazma A, Vizcaíno JA. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 2022 Jan 07;50:D543-D552. doi: 10.1093/nar/gkab1038. PMID: 34723319.
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Improved production of the recombinant phospholipase A1 from .

3 Biotech

Perez-Riverol A, Musacchio-Lasa A, Fernandes LGR, Dos Santos-Pinto JRA, Esteves FG, Bazon ML, Zollner RL, Palma MS, Brochetto-Braga MR.
PMID: 32355591
3 Biotech. 2020 May;10(5):217. doi: 10.1007/s13205-020-02202-8. Epub 2020 Apr 27.

Phospholipase A1 (PLA1) is one of the three major allergens identified in the venom of

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Perez-Riverol A, Musacchio-Lasa A, Fernandes LGR, et al. Improved production of the recombinant phospholipase A1 from . 3 Biotech. 2020;10(5):217doi: 10.1007/s13205-020-02202-8.
Perez-Riverol, A., Musacchio-Lasa, A., Fernandes, L. G. R., Dos Santos-Pinto, J. R. A., Esteves, F. G., Bazon, M. L., Zollner, R. L., Palma, M. S., & Brochetto-Braga, M. R. (2020). Improved production of the recombinant phospholipase A1 from . 3 Biotech, 10(5), 217. https://doi.org/10.1007/s13205-020-02202-8
Perez-Riverol, Amilcar, et al. "Improved production of the recombinant phospholipase A1 from ." 3 Biotech vol. 10,5 (2020): 217. doi: https://doi.org/10.1007/s13205-020-02202-8
Perez-Riverol A, Musacchio-Lasa A, Fernandes LGR, Dos Santos-Pinto JRA, Esteves FG, Bazon ML, Zollner RL, Palma MS, Brochetto-Braga MR. Improved production of the recombinant phospholipase A1 from . 3 Biotech. 2020 May;10(5):217. doi: 10.1007/s13205-020-02202-8. Epub 2020 Apr 27. PMID: 32355591; PMCID: PMC7186289.
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2016 update of the PRIDE database and its related tools.

Nucleic acids research

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.
PMID: 27683222
Nucleic Acids Res. 2016 Dec 15;44(22):11033. doi: 10.1093/nar/gkw880. Epub 2016 Sep 28.

No abstract available.

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Vizcaíno JA, Csordas A, Del-Toro N, et al. 2016 update of the PRIDE database and its related tools. Nucleic Acids Res. 2016;44(22):11033doi: 10.1093/nar/gkw880.
Vizcaíno, J. A., Csordas, A., Del-Toro, N., Dianes, J. A., Griss, J., Lavidas, I., Mayer, G., Perez-Riverol, Y., Reisinger, F., Ternent, T., Xu, Q. W., Wang, R., & Hermjakob, H. (2016). 2016 update of the PRIDE database and its related tools. Nucleic acids research, 44(22), 11033. https://doi.org/10.1093/nar/gkw880
Vizcaíno, Juan Antonio, et al. "2016 update of the PRIDE database and its related tools." Nucleic acids research vol. 44,22 (2016): 11033. doi: https://doi.org/10.1093/nar/gkw880
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. 2016 update of the PRIDE database and its related tools. Nucleic Acids Res. 2016 Dec 15;44(22):11033. doi: 10.1093/nar/gkw880. Epub 2016 Sep 28. PMID: 27683222; PMCID: PMC5159556.
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The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium.

Molecular & cellular proteomics : MCP

Côté RG, Griss J, Dianes JA, Wang R, Wright JC, van den Toorn HW, van Breukelen B, Heck AJ, Hulstaert N, Martens L, Reisinger F, Csordas A, Ovelleiro D, Perez-Rivevol Y, Barsnes H, Hermjakob H, Vizcaíno JA.
PMID: 22949509
Mol Cell Proteomics. 2012 Dec;11(12):1682-9. doi: 10.1074/mcp.O112.021543. Epub 2012 Sep 04.

The original PRIDE Converter tool greatly simplified the process of submitting mass spectrometry (MS)-based proteomics data to the PRIDE database. However, after much user feedback, it was noted that the tool had some limitations and could not handle several...

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Côté RG, Griss J, Dianes JA, et al. The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium. Mol Cell Proteomics. 2012;11(12):1682-9doi: 10.1074/mcp.O112.021543.
Côté, R. G., Griss, J., Dianes, J. A., Wang, R., Wright, J. C., van den Toorn, H. W., van Breukelen, B., Heck, A. J., Hulstaert, N., Martens, L., Reisinger, F., Csordas, A., Ovelleiro, D., Perez-Rivevol, Y., Barsnes, H., Hermjakob, H., & Vizcaíno, J. A. (2012). The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium. Molecular & cellular proteomics : MCP, 11(12), 1682-9. https://doi.org/10.1074/mcp.O112.021543
Côté, Richard G, et al. "The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium." Molecular & cellular proteomics : MCP vol. 11,12 (2012): 1682-9. doi: https://doi.org/10.1074/mcp.O112.021543
Côté RG, Griss J, Dianes JA, Wang R, Wright JC, van den Toorn HW, van Breukelen B, Heck AJ, Hulstaert N, Martens L, Reisinger F, Csordas A, Ovelleiro D, Perez-Rivevol Y, Barsnes H, Hermjakob H, Vizcaíno JA. The PRoteomics IDEntification (PRIDE) Converter 2 framework: an improved suite of tools to facilitate data submission to the PRIDE database and the ProteomeXchange consortium. Mol Cell Proteomics. 2012 Dec;11(12):1682-9. doi: 10.1074/mcp.O112.021543. Epub 2012 Sep 04. PMID: 22949509; PMCID: PMC3518121.
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Bioinformatics tools for the functional interpretation of quantitative proteomics results.

Current topics in medicinal chemistry

Villavicencio-Diaz TN, Rodriguez-Ulloa A, Guirola-Cruz O, Perez-Riverol Y.
PMID: 24304321
Curr Top Med Chem. 2014;14(3):435-49. doi: 10.2174/1568026613666131204105110.

Proteins are the principal mediators of the functions in the cell; therefore, any abnormal variations on their abundance levels may reflect the presence of pathological processes. In this sense, many researchers rely on the functional interpretation of protein lists...

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Villavicencio-Diaz TN, Rodriguez-Ulloa A, Guirola-Cruz O, et al. Bioinformatics tools for the functional interpretation of quantitative proteomics results. Curr Top Med Chem. 2014;14(3):435-49doi: 10.2174/1568026613666131204105110.
Villavicencio-Diaz, T. N., Rodriguez-Ulloa, A., Guirola-Cruz, O., & Perez-Riverol, Y. (2014). Bioinformatics tools for the functional interpretation of quantitative proteomics results. Current topics in medicinal chemistry, 14(3), 435-49. https://doi.org/10.2174/1568026613666131204105110
Villavicencio-Diaz, Teresa Nunez, et al. "Bioinformatics tools for the functional interpretation of quantitative proteomics results." Current topics in medicinal chemistry vol. 14,3 (2014): 435-49. doi: https://doi.org/10.2174/1568026613666131204105110
Villavicencio-Diaz TN, Rodriguez-Ulloa A, Guirola-Cruz O, Perez-Riverol Y. Bioinformatics tools for the functional interpretation of quantitative proteomics results. Curr Top Med Chem. 2014;14(3):435-49. doi: 10.2174/1568026613666131204105110. PMID: 24304321.
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Editorial: Genomics and proteomics behind drug design.

Current topics in medicinal chemistry

Perez-Riverol Y, Carvalho PC.
PMID: 24304322
Curr Top Med Chem. 2014;14(3):343. doi: 10.2174/1568026613666131204101110.

No abstract available.

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Perez-Riverol Y, Carvalho PC. Editorial: Genomics and proteomics behind drug design. Curr Top Med Chem. 2014;14(3):343doi: 10.2174/1568026613666131204101110.
Perez-Riverol, Y., & Carvalho, P. C. (2014). Editorial: Genomics and proteomics behind drug design. Current topics in medicinal chemistry, 14(3), 343. https://doi.org/10.2174/1568026613666131204101110
Perez-Riverol, Yasset, and Carvalho, Paulo Costa. "Editorial: Genomics and proteomics behind drug design." Current topics in medicinal chemistry vol. 14,3 (2014): 343. doi: https://doi.org/10.2174/1568026613666131204101110
Perez-Riverol Y, Carvalho PC. Editorial: Genomics and proteomics behind drug design. Curr Top Med Chem. 2014;14(3):343. doi: 10.2174/1568026613666131204101110. PMID: 24304322.
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Synthetic human proteomes for accelerating protein research.

Nature methods

Perez-Riverol Y, Vizcaíno JA.
PMID: 28245213
Nat Methods. 2017 Feb 28;14(3):240-242. doi: 10.1038/nmeth.4191.

No abstract available.

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Perez-Riverol Y, Vizcaíno JA. Synthetic human proteomes for accelerating protein research. Nat Methods. 2017;14(3):240-242doi: 10.1038/nmeth.4191.
Perez-Riverol, Y., & Vizcaíno, J. A. (2017). Synthetic human proteomes for accelerating protein research. Nature methods, 14(3), 240-242. https://doi.org/10.1038/nmeth.4191
Perez-Riverol, Yasset, and Vizcaíno, Juan Antonio. "Synthetic human proteomes for accelerating protein research." Nature methods vol. 14,3 (2017): 240-242. doi: https://doi.org/10.1038/nmeth.4191
Perez-Riverol Y, Vizcaíno JA. Synthetic human proteomes for accelerating protein research. Nat Methods. 2017 Feb 28;14(3):240-242. doi: 10.1038/nmeth.4191. PMID: 28245213.
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Showing 1 to 12 of 31 entries