– Modelos predictivos mediante técnicas de Aprendizaje Automático aplicados a problemas biomédicos. – Técnicas y herramientas para el análisis de datos masivos en experimentos genómicos y/o proteómicos. – Sistemas de apoyo a la toma de decisión clínica. – Software traslacional entre el ámbito biomédico y clínico.
Sistemas informáticos de nueva generación · IIS Galicia Sur
2017
2018
2019
2020
Artículos Científicos
Lopez-Fernandez H, Duque P, Vazquez N, Fdez-Riverola F, Reboiro-Jato M, Vieira CP, Vieira J. SEDA: A Desktop Tool Suite for FASTA Files Processing. IEEE/ACM Trans Comput Biol Bioinforma. 2022 Nov;19(3):1850–60. PMID: 33237866. DOI: 10.1109/TCBB.2020.3040383. http://www.ncbi.nlm.nih.gov/pubmed/33237866 +Pubmed+DOI
Nogueira-Rodríguez A, Domínguez-Carbajales R, Campos-Tato F, Herrero J, Puga M, Remedios D, Rivas L, Sánchez E, Iglesias Á, Cubiella J, Fdez-Riverola F, López-Fernández H, Reboiro-Jato M, Glez-Peña D. Real-time polyp detection model using convolutional neural networks. Neural Comput Appl. 2022 Jul;34(13):10375–96. DOI: 10.1007/s00521-021-06496-4. http://doi.org/10.1007/s00521-021-06496-4%0A +DOI
Pérez-Pérez M, Ferreira T, Lourenço A, Igrejas G, Fdez-Riverola F. Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome. Neurocomputing. 2022 May;484(E-PUB):223–37. DOI: 10.1016/j.neucom.2021.10.100. https://doi.org/10.1016/j.neucom.2021.10.100%0A +DOI
Rodriguez-Conde I, Campos C, Fdez-Riverola F. Optimized convolutional neural network architectures for efficient on-device vision-based object detection. Neural Comput Appl. 2022 Jul;34(13):10469–501. DOI: 10.1007/s00521-021-06830-w. https://doi.org/10.1007/s00521-021-06830-w%0A +DOI
Artículos Científicos
Blanco G, Sanchez B, Ruiz L, Fdez-Riverola F, Margolles A, Lourenco A. Computational Approach to the Systematic Prediction of Glycolytic Abilities: Looking Into Human Microbiota. IEEE/ACM Trans Comput Biol Bioinforma. 2021;18(6):2302–13. PMID: 32149650. DOI: 10.1109/TCBB.2020.2978461. http://www.ncbi.nlm.nih.gov/pubmed/32149650 +Pubmed+DOI
Ferreiro-Díaz M, Cotos-Yáñez, Tomás R, Méndez, José R, Ruano-Ordás D. The bdpar Package: Big Data Pipelining Architecture for R. R J. 2021;13(1):130. DOI: 10.32614/RJ-2021-065. https://doi.org/10.32614/RJ-2021-065%0A +DOI
López-Fernández H, Graña-Castro O, Nogueira-Rodríguez A, Reboiro-Jato M, Glez-Peña D. Compi: a framework for portable and reproducible pipelines. PeerJ Comput Sci. 2021;7:e593. PMID: 34239974. DOI: 10.7717/peerj-cs.593. http://www.ncbi.nlm.nih.gov/pubmed/34239974 +Pubmed+DOI
López-Fernández H, Vieira CP, Ferreira P, Gouveia P, Fdez-Riverola F, Reboiro-Jato M, Vieira J. On the Identification of Clinically Relevant Bacterial Amino Acid Changes at the Whole Genome Level Using Auto-PSS-Genome. Interdiscip Sci. 2021 Jun;13(2):334–43. PMID: 34009546. DOI: 10.1007/s12539-021-00439-2. http://www.ncbi.nlm.nih.gov/pubmed/34009546 +Pubmed+DOI
Nogueira-Rodríguez A, Domínguez-Carbajales R, López-Fernández H, Iglesias Á, Cubiella J, Fdez-Riverola F, Reboiro-Jato M, Glez-Peña D. Deep Neural Networks approaches for detecting and classifying colorectal polyps. Neurocomputing. 2021 Jan;423:721–34. DOI: 10.1016/j.neucom.2020.02.123. https://doi.org/10.1016/j.neucom.2020.02.123%0A +DOI
Novo-Lourés M, Lage Y, Pavón R, Laza R, Ruano-Ordás D, Méndez JR. Improving Pipelining Tools for Pre-processing Data. Int J Interact Multimed Artif Intell. 2021;In Press(In Press):1. DOI: 10.9781/ijimai.2021.10.004. https://doi.org/10.9781/ijimai.2021.10.004%0A +DOI
Ocampo-Quintero N, Vidal-Cortés P, Del Río Carbajo L, Fdez-Riverola F, Reboiro-Jato M, Glez-Peña D. Enhancing sepsis management through machine learning techniques: A review. Med intensiva. 2021 May;(E-PUB) PMID: 32482370. DOI: 10.1016/j.medin.2020.04.003. http://www.ncbi.nlm.nih.gov/pubmed/32482370 +Pubmed+DOI
Oliveira Gonçalves CA, Camacho R, Gonçalves CT, Seara Vieira A, Borrajo Diz L, Lorenzo Iglesias E. Classification of Full Text Biomedical Documents: Sections Importance Assessment. Appl Sci. 2021 Mar;11(6):2674. DOI: 10.3390/app11062674. https://doi.org/10.3390/app11062674%0A +DOI
Pascoal-Ferreira P, Glez-Peña D, Miranda C, Poeta P, Coutinho J, Fdez-Riverola F, Torrado-Agrasar A, Rúa ML, Igrejas G. Are There Benefits from Thermal Bacteria for Health? The Hydrogenome Role. Water. 2021 May;13(11):1439. DOI: 10.3390/w13111439. https://doi.org/10.3390/w13111439%0A +DOI
Pérez-Pérez M, Igrejas G, Fdez-Riverola F, Lourenço A. A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era. Artif Intell Med. 2021;118:102131. PMID: 34412847. DOI: 10.1016/j.artmed.2021.102131. http://www.ncbi.nlm.nih.gov/pubmed/34412847 +Pubmed+DOI
Pérez-Rodríguez D, López-Fernández H, Agís-Balboa RC. Application of miRNA-seq in neuropsychiatry: A methodological perspective. Comput Biol Med. 2021 Jun;135:104603. PMID: 34216893. DOI: 10.1016/j.compbiomed.2021.104603. http://www.ncbi.nlm.nih.gov/pubmed/34216893 +Pubmed+DOI
Ramoa A, Condeço J, Fdez-Riverola F, Lourenço A. HaemoKBS: A knowledge-based system for real-time, continuous categorisation of adverse reactions in blood recipients. Neurocomputing. 2021 Jan;423:756–67. DOI: 10.1016/j.neucom.2020.04.101. https://doi.org/10.1016/j.neucom.2020.04.101%0A +DOI
Rodriguez-Conde I, Campos C, Fdez-Riverola F. On-Device Object Detection for More Efficient and Privacy-Compliant Visual Perception in Context-Aware Systems. Appl Sci. 2021 Oct;11(19):9173. DOI: 10.3390/app11199173. https://doi.org/10.3390/app11199173%0A +DOI
Roldán-Molina GR, Ruano-Ordás D, Basto-Fernandes V, Méndez JR. An ontology knowledge inspection methodology for quality assessment and continuous improvement. Data Knowl Eng. 2021 May;133:101889. DOI: 10.1016/j.datak.2021.101889. https://doi.org/10.1016/j.datak.2021.101889%0A +DOI
Ruano-Ordás D, Méndez JR, Basto Fernandes V, Suárez-Tangil G. Novel Tools for the Management, Representation, and Exploitation of Textual Information. Sci Program. 2021 Aug;2021:1–3. DOI: 10.1155/2021/9781923. https://doi.org/10.1155/2021/9781923%0A +DOI
Silva S, Seara Vieira A, Celard P, Iglesias EL, Borrajo L. A Query Expansion Method Using Multinomial Naive Bayes. Appl Sci. 2021 Nov;11(21):10284. DOI: 10.3390/app112110284. http://doi.org/10.3390/app112110284%0A +DOI
T Magalhães B, Lourenço A, Azevedo NF. Computational resources and strategies to assess single-molecule dynamics of the translation process in S. cerevisiae. Brief Bioinform. 2021;22(1):219–31. PMID: 31879749. DOI: 10.1093/bib/bbz149. http://www.ncbi.nlm.nih.gov/pubmed/31879749 +Pubmed+DOI
Troulé K, López-Fernández H, García-Martín S, Reboiro-Jato M, Carretero-Puche C, Martorell-Marugán J, Martín-Serrano G, Carmona-Sáez P, Glez-Peña D, Al-Shahrour F, Gómez-López G. DREIMT: a drug repositioning database and prioritization tool for immunomodulation. Bioinformatics. 2021;37(4):578–9. PMID: 32818254. DOI: 10.1093/bioinformatics/btaa727. http://www.ncbi.nlm.nih.gov/pubmed/32818254 +Pubmed+DOI
Varela LG, Gómez MA, Garabatos M, Glez-Peña D, Porteiro J. Improving the bed movement physics of inclined grate biomass CFD simulations. Appl Therm Eng. 2021 Jan;182:116043. DOI: 10.1016/j.applthermaleng.2020.116043. https://doi.org/10.1016/j.applthermaleng.2020.116043%0A +DOI
Capítulos de libro
Magalhães BT, Santos RS, Azevedo NF, Lourenço A. Computational Resources and Strategies to Construct Single-Molecule Models of FISH. Methods in Molecular Biology book series (MIMB, volume 2246). New York, NY: Humana; 2021. p. 317–30. ISBN: 978-1-0716-1115-9. https://doi.org/10.1007/978-1-0716-1115-9_21 +DOI
Artículos Científicos
Blanco G, Pérez-López R, Fdez-Riverola F, Lourenço AMG. Understanding the social evolution of the Java community in Stack Overflow: A 10-year study of developer interactions. Futur Gener Comput Syst. 2020 Apr;105:446–54. DOI: 10.1016/j.future.2019.12.021. http://doi.org/10.1016/j.future.2019.12.021 +DOI
Blanco G, Ruiz L, Tamés H, Ruas-Madiedo P, Fdez-Riverola F, Sánchez B, Lourenço A, Margolles A. Revisiting the Metabolic Capabilities of Bifidobacterium longum susbp. longum and Bifidobacterium longum subsp. infantis from a Glycoside Hydrolase Perspective. Microorganisms. 2020 May;8(5) PMID: 32413974. DOI: 10.3390/microorganisms8050723. http://www.ncbi.nlm.nih.gov/pubmed/32413974 +Pubmed+DOI
Borrajo L, Vieira AS, Iglesias EL. An HMM-based synthetic view generator to improve the efficiency of ensemble systems. Log J IGPL. 2020 Jan;28(1):4–18. DOI: 10.1093/jigpal/jzz067. https://doi.org/10.1093/jigpal/jzz067 +DOI
Cambeiro-Pérez N, Hidalgo-Cantabrana C, Moro-García MA, Blanco-Míguez A, Fdez-Riverola F, Riestra S, Lourenço A, Alonso-Arias R, Margolles A, Martínez-Carballo E, Sánchez B. In silico and functional analyses of immunomodulatory peptides encrypted in the human gut metaproteome. J Funct Foods. 2020 Jul;70:103969. DOI: 10.1016/j.jff.2020.103969. https://doi.org/10.1016/j.jff.2020.103969 +DOI
Celard P, Vieira AS, Iglesias EL, Borrajo L. LDA filter: A Latent Dirichlet Allocation preprocess method for Weka. PLoS One. 2020;15(11):e0241701. PMID: 33166342. DOI: 10.1371/journal.pone.0241701. http://www.ncbi.nlm.nih.gov/pubmed/33166342 +Pubmed+DOI
Estévez O, Anibarro L, Garet E, Pallares Á, Barcia L, Calviño L, Maueia C, Mussá T, Fdez-Riverola F, Glez-Peña D, Reboiro-Jato M, López-Fernández H, Fonseca NA, Reljic R, González-Fernández Á. An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile. Front Immunol. 2020;11:1470. PMID: 32760401. DOI: 10.3389/fimmu.2020.01470. http://www.ncbi.nlm.nih.gov/pubmed/32760401 +Pubmed+DOI
Graña-Castro O, López-Fernández H, Nogueira-Rodríguez A, Fdez-Riverola F, Al-Shahrour F, Glez-Peña D. Metatax: Metataxonomics with a Compi-Based Pipeline for Precision Medicine. Interdiscip Sci. 2020 Sep;12(3):252–7. PMID: 32350726. DOI: 10.1007/s12539-020-00368-6. http://www.ncbi.nlm.nih.gov/pubmed/32350726 +Pubmed+DOI
Hidalgo-Cantabrana C, Moro-García MA, Blanco-Míguez A, Fdez-Riverola F, Oliván M, Royo LJ, Riestra S, Margolles A, Lourenço A, Alonso-Arias R, Sánchez B. The extracellular proteins of Lactobacillus acidophilus DSM 20079T display anti-inflammatory effect in both in piglets, healthy human donors and Crohn´s Disease patients. J Funct Foods. 2020 Jan;64:103660. DOI: 10.1016/j.jff.2019.103660. https://doi.org/10.1016/j.jff.2019.103660%0A +DOI
Jorge S, Pereira K, López-Fernández H, LaFramboise W, Dhir R, Fernández-Lodeiro J, Lodeiro C, Santos HM, Capelo-Martínez JL. Ultrasonic-assisted extraction and digestion of proteins from solid biopsies followed by peptide sequential extraction hyphenated to MALDI-based profiling holds the promise of distinguishing renal oncocytoma from chromophobe renal cell carcinoma. Talanta. 2020 Jan;206:120180. PMID: 31514886. DOI: 10.1016/j.talanta.2019.120180. http://www.ncbi.nlm.nih.gov/pubmed/31514886 +Pubmed+DOI
Pérez-Rodríguez G, Pérez-Pérez M, Fdez-Riverola F, Lourenço A. Mining the sociome for Health Informatics: Analysis of therapeutic lifestyle adherence of diabetic patients in Twitter. Futur Gener Comput Syst. 2020 Sep;110:214–32. DOI: 10.1016/j.future.2020.04.025. https://doi.org/10.1016/j.future.2020.04.025 +DOI
Roldan-Molina GR, Mendez JR, Yevseyeva I, Basto-Fernandes V. Ontology Fixing by Using Software Engineering Technology. Appl Sci. 2020 Sep;10(18):6328. DOI: 10.3390/app10186328. http://doi.org/10.3390/app10186328 +DOI
Capítulos de libro
Reboiro-Jato M, Glez-Peña D, López-Fernández H. Statistics, Data Mining and Modeling. In: Winkler R (ed.). PROCESSING METABOLOMICS AND PROTEOMICS DATA WITH OPEN SOFTWARE: A PRACTICAL GUIDE New Developments in Mass Spectrometry. Cambridge: ROYAL SOC CHEMISTRY; 2020. p. 120–200. ISBN: 978-1-78801-721-3. https://doi.org/10.1039/9781788019880 +DOI
Artículos Científicos
Blanco G, Sánchez B, Fdez-Riverola F, Margolles A, Lourenço A. In silico Approach for Unveiling the Glycoside Hydrolase Activities in Faecalibacterium prausnitzii Through a Systematic and Integrative Large-Scale Analysis. Front Microbiol. 2019;10(APR):517. PMID: 31024464. DOI: 10.3389/fmicb.2019.00517. http://www.ncbi.nlm.nih.gov/pubmed/31024464 +Pubmed+DOI
Blanco-Míguez A, Blanco G, Gutierrez-Jácome A, Fdez-Riverola F, Sánchez B, Lourenço A. Computational prediction of the bioactivity potential of proteomes based on expert knowledge. J Biomed Inform. 2019;91:103121. PMID: 30738947. DOI: 10.1016/j.jbi.2019.103121. http://www.ncbi.nlm.nih.gov/pubmed/30738947 +Pubmed+DOI
Blanco-Míguez A, Fdez-Riverola F, Lourenço A, Sánchez B. In silico prediction reveals the existence of potential bioactive neuropeptides produced by the human gut microbiota. Food Res Int. 2019;119:221–6. PMID: 30884651. DOI: 10.1016/j.foodres.2019.01.069. http://www.ncbi.nlm.nih.gov/pubmed/30884651 +Pubmed+DOI
Blanco-Míguez A, Fdez-Riverola F, Sánchez B, Lourenço A. Resources and tools for the high-throughput, multi-omic study of intestinal microbiota. Brief Bioinform. 2019 May;20(3):1032–56. PMID: 29186315. DOI: 10.1093/bib/bbx156. http://www.ncbi.nlm.nih.gov/pubmed/29186315 +Pubmed+DOI
Fdez-Riverola F, Rocha M. Selected Extended Papers of the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB). J Integr Bioinform. 2019 Feb;16(1) DOI: 10.1515/jib-2019-0004. https://doi.org/10.1515/jib-2019-0004 +DOI
Henriques SF, Duque P, López-Fernández H, Vázquez N, Fdez-Riverola F, Reboiro-Jato M, Vieira CP, Vieira J. Multiple independent L-gulonolactone oxidase (GULO) gene losses and vitamin C synthesis reacquisition events in non-Deuterostomian animal species. BMC Evol Biol. BMC Evolutionary Biology; 2019;19(1):126. PMID: 31215418. DOI: 10.1186/s12862-019-1454-8. http://www.ncbi.nlm.nih.gov/pubmed/31215418 +Pubmed+DOI
López-Fernández H, Blanco-Míguez A, Fdez-Riverola F, Sánchez B, Lourenço A. DEWE: A novel tool for executing differential expression RNA-Seq workflows in biomedical research. Comput Biol Med. 2019;107:197–205. PMID: 30849608. DOI: 10.1016/j.compbiomed.2019.02.021. http://www.ncbi.nlm.nih.gov/pubmed/30849608 +Pubmed+DOI
López-Fernández H, Duque P, Henriques S, Vázquez N, Fdez-Riverola F, Vieira CP, Reboiro-Jato M, Vieira J. Bioinformatics Protocols for Quickly Obtaining Large-Scale Data Sets for Phylogenetic Inferences. Interdiscip Sci. 2019 Mar;11(1):1–9. PMID: 30511150. DOI: 10.1007/s12539-018-0312-5. http://www.ncbi.nlm.nih.gov/pubmed/30511150 +Pubmed+DOI
Maia P, Pérez-Rodríguez G, Pérez-Pérez M, Fdez-Riverola F, Lourenço A, Azevedo NF. Application of agent-based modelling to assess single-molecule transport across the cell envelope of E. coli. Comput Biol Med. 2019;107:218–26. PMID: 30852248. DOI: 10.1016/j.compbiomed.2019.02.020. http://www.ncbi.nlm.nih.gov/pubmed/30852248 +Pubmed+DOI
Pérez-Pérez M, Pérez-Rodríguez G, Blanco-Míguez A, Fdez-Riverola F, Valencia A, Krallinger M, Lourenço A. Next generation community assessment of biomedical entity recognition web servers: metrics, performance, interoperability aspects of BeCalm. J Cheminform. Springer International Publishing; 2019 Jun;11(1):42. PMID: 31236786. DOI: 10.1186/s13321-019-0363-6. http://www.ncbi.nlm.nih.gov/pubmed/31236786 +Pubmed+DOI
Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics. J Med Internet Res. 2019;21(8):e12610. PMID: 31411142. DOI: 10.2196/12610. https://www.jmir.org/2019/8/e12610/pdf +Pubmed+DOI
Pérez-Rodríguez G, Pérez-Pérez M, Fdez-Riverola F, Lourenço A. Online visibility of software-related web sites: The case of biomedical text mining tools. Inf Process Manag. Elsevier; 2019 May;56(3):565–83. DOI: 10.1016/j.ipm.2018.11.011. https://doi.org/10.1016/j.ipm.2018.11.011 +DOI
Rocha S, Vieira J, Vázquez N, López-Fernández H, Fdez-Riverola F, Reboiro-Jato M, Sousa AD, Vieira CP. ATXN1 N-terminal region explains the binding differences of wild-type and expanded forms. BMC Med Genomics. BMC Medical Genomics; 2019;12(1):145. PMID: 31655597. DOI: 10.1186/s12920-019-0594-4. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814966/pdf/12920_2019_Article_594.pdf +Pubmed+DOI
Ruano-Ordás D, Burggraaff L, Liu R, van der Horst C, Heitman LH, Emmerich MTM, Mendez JR, Yevseyeva I, van Westen GJP. A multiple classifier system identifies novel cannabinoid CB2 receptor ligands. J Cheminform. Springer International Publishing; 2019 Dec;11(1):66. DOI: 10.1186/s13321-019-0389-9. http://doi.org/10.1186/s13321-019-0389-9 +DOI
Ruano-Ordás D, Yevseyeva I, Fernandes VB, Méndez JR, Emmerich MTM. Improving the drug discovery process by using multiple classifier systems. Expert Syst Appl. 2019 May;121(351):292–303. DOI: 10.1016/j.eswa.2018.12.032. https://repositorio.iscte-iul.pt/bitstream/10071/17465/1/Manuscript_REV2.pdf +DOI
Vázquez N, López-Fernández H, Vieira CP, Fdez-Riverola F, Vieira J, Reboiro-Jato M. BDBM 1.0: A Desktop Application for Efficient Retrieval and Processing of High-Quality Sequence Data and Application to the Identification of the Putative Coffea S-Locus. Interdiscip Sci. 2019 Mar;11(1):57–67. PMID: 30712176. DOI: 10.1007/s12539-019-00320-3. http://www.ncbi.nlm.nih.gov/pubmed/30712176 +Pubmed+DOI
Vázquez N, Rocha S, López-Fernández H, Torres A, Camacho R, Fdez-Riverola F, Vieira J, Vieira CP, Reboiro-Jato M. EvoPPI 1.0: a Web Platform for Within- and Between-Species Multiple Interactome Comparisons and Application to Nine PolyQ Proteins Determining Neurodegenerative Diseases. Interdiscip Sci. 2019 Mar;11(1):45–56. PMID: 30707359. DOI: 10.1007/s12539-019-00317-y. http://www.ncbi.nlm.nih.gov/pubmed/30707359 +Pubmed+DOI
Vieira J, Rocha S, Vázquez N, López-Fernández H, Fdez-Riverola F, Reboiro-Jato M, Vieira CP. Predicting Specificities Under the Non-self Gametophytic Self-Incompatibility Recognition Model. Front Plant Sci. 2019;10(July):879. PMID: 31379893. DOI: 10.3389/fpls.2019.00879. http://www.ncbi.nlm.nih.gov/pubmed/31379893 +Pubmed+DOI
Villamarín-Bello B, Uriel-Latorre B, Fdez-Riverola F, Sande-Meijide M, Glez-Peña D. Gold Standard Evaluation of an Automatic HAIs Surveillance System. Biomed Res Int. 2019;2019(iii):1049575. PMID: 31662963. DOI: 10.1155/2019/1049575. http://www.ncbi.nlm.nih.gov/pubmed/31662963 +Pubmed+DOI
Artículos Científicos
Aparicio F, Morales-Botello ML, Rubio M, Hernando A, Muñoz R, López-Fernández H, Glez-Peña D, Fdez-Riverola F, de la Villa M, Maña M, Gachet D, Buenaga M de. Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects. Int J Med Inform. 2018 Apr;112:21–33. PMID: 29500018. DOI: 10.1016/j.ijmedinf.2017.12.016. http://www.ncbi.nlm.nih.gov/pubmed/29500018 +Pubmed+DOI
Araújo JE, López-Fernández H, Diniz MS, Baltazar PM, Pinheiro LC, da Silva FC, Carrascal M, Videira P, Santos HM, Capelo JL. Dithiothreitol-based protein equalization technology to unravel biomarkers for bladder cancer. Talanta. 2018 Apr;180:36–46. PMID: 29332824. DOI: 10.1016/j.talanta.2017.11.063. http://www.ncbi.nlm.nih.gov/pubmed/29332824 +Pubmed+DOI
Blanco-Míguez A, Fdez-Riverola F, Sánchez B, Lourenço A. BlasterJS: A novel interactive JavaScript visualisation component for BLAST alignment results. PLoS One. 2018;13(10):e0205286. PMID: 30300406. DOI: 10.1371/journal.pone.0205286. http://www.ncbi.nlm.nih.gov/pubmed/30300406 +Pubmed+DOI
Fdez-Glez J, Ruano-Ordás D, Méndez JR, Fdez-Riverola F, Laza R, Pavón R. Determining the Influence of Class Imbalance for the Triage of Biomedical Documents. Curr Bioinform. 2018 Nov;13(6):592–605. DOI: 10.2174/1574893612666170718151238. http://www.eurekaselect.com/154289/article +DOI
Grainha TRR, Jorge PA da S, Perez-Perez M, Perez Rodriguez G, Pereira MOBO, Lourenco AMG. Exploring anti-quorum sensing and anti-virulence based strategies to fight Candida albicans infections: an in silico approach. FEMS Yeast Res. 2018 May;18(3) PMID: 29518242. DOI: 10.1093/femsyr/foy022. +Pubmed+DOI
Grana O, Lopez-Fernandez H, Fdez-Riverola F, Gonzalez Pisano D, Glez-Pena D, Graña O, López-Fernández H, Fdez-Riverola F, González Pisano D, Glez-Peña D. Bicycle: a bioinformatics pipeline to analyze bisulfite sequencing data. Bioinformatics. 2018 Apr;34(8):1414–5. PMID: 29211825. DOI: 10.1093/bioinformatics/btx778. http://www.ncbi.nlm.nih.gov/pubmed/29211825 +Pubmed+DOI
Graña O, Rubio-Camarillo M, Fdez-Riverola F, Pisano DG, Glez-Peña D. Nextpresso: Next Generation Sequencing Expression Analysis Pipeline. Curr Bioinform. 2018 Nov;13(6):583–91. DOI: 10.2174/1574893612666170810153850. www.doi.org/10.2174/1574893612666170810153850 +DOI
López-Fernández H, Araújo JE, Jorge S, Glez-Peña D, Reboiro-Jato M, Santos HM, Fdez-Riverola F, Capelo JL. S2P: A software tool to quickly carry out reproducible biomedical research projects involving 2D-gel and MALDI-TOF MS protein data. Comput Methods Programs Biomed. 2018 Mar;155:1–9. PMID: 29512488. DOI: 10.1016/j.cmpb.2017.11.024. http://www.ncbi.nlm.nih.gov/pubmed/29512488 +Pubmed+DOI
López-Fernández H, Reboiro-Jato M, Glez-Peña D, Laza R, Pavón R, Fdez-Riverola F. GC4S: A bioinformatics-oriented Java software library of reusable graphical user interface components. PLoS One. 2018;13(9):e0204474. PMID: 30235322. DOI: 10.1371/journal.pone.0204474. http://www.ncbi.nlm.nih.gov/pubmed/30235322 +Pubmed+DOI
Marcelino I, Laza R, Domingues P, Gómez-Meire S, Fdez-Riverola F, Pereira A. Active and Assisted Living Ecosystem for the Elderly. Sensors (Basel). 2018 Apr;18(4):1–18. PMID: 29673234. DOI: 10.3390/s18041246. http://www.ncbi.nlm.nih.gov/pubmed/29673234 +Pubmed+DOI
Pérez-Rodríguez G, Dias S, Pérez-Pérez M, Fdez-Riverola F, Azevedo NF, Lourenço A. Agent-based model of diffusion of N-acyl homoserine lactones in a multicellular environment of Pseudomonas aeruginosa and Candida albicans. Biofouling. 2018 Mar;34(3):335–45. PMID: 29516751. DOI: 10.1080/08927014.2018.1440392. http://www.ncbi.nlm.nih.gov/pubmed/29516751 +Pubmed+DOI
Piñeiro-Yáñez E, Reboiro-Jato M, Gómez-López G, Perales-Patón J, Troulé K, Rodríguez JM, Tejero H, Shimamura T, López-Casas PP, Carretero J, Valencia A, Hidalgo M, Glez-Peña D, Al-Shahrour F. PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data. Genome Med. Genome Medicine; 2018;10(1):41. PMID: 29848362. DOI: 10.1186/s13073-018-0546-1. http://www.ncbi.nlm.nih.gov/pubmed/29848362 +Pubmed+DOI
Prates J, Martins G, López-Fernández H, Lodeiro C, Capelo JL, Santos HM. Modulating the protein content of complex proteomes using acetonitrile. Talanta. 2018 May;182:333–9. PMID: 29501161. DOI: 10.1016/j.talanta.2018.01.057. http://www.ncbi.nlm.nih.gov/pubmed/29501161 +Pubmed+DOI
Ramoa A, Condeço J, Escoval MA, Faber J-C, Fdez-Riverola F, Lourenço A. The Evolving Role of Information Technology in Haemovigilance Systems. J Healthc Eng. 2018;2018:6183468. PMID: 29707185. DOI: 10.1155/2018/6183468. http://www.ncbi.nlm.nih.gov/pubmed/29707185 +Pubmed+DOI
Rocha M, Fdez-Riverola F. Advanced Practical Applications of Computational Biology & Bioinformatics: PACBB´15. Curr Bioinform. 2018 Nov;13(6):565–565. DOI: 10.2174/157489361306181107184700. http://www.eurekaselect.com/167161/article +DOI
Vazquez N, Vieira CP, Amorim BSRBSR, Torres AA, Lopez-Fernandez H, Fdez-Riverola F, Sousa JLRJLR, Reboiro-Jato M, Vieira J, Vázquez N, Vieira CP, Amorim BSRBSR, Torres AA, López-Fernández H, Fdez-Riverola F, Sousa JLRJLR, Reboiro-Jato M, Vieira J. Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdiscip Sci Comput Life Sci. 2018 Mar;10(1):24–32. PMID: 29383564. DOI: 10.1007/s12539-018-0282-7. http://www.ncbi.nlm.nih.gov/pubmed/29383564 +Pubmed+DOI
Capítulos de libro
Reboiro-Jato M, López-Fernández H, Laza-Fidalgo R, Pavón-Rial MR, Rojas-Rodríguez F, Vieira-Vázquez A, Rivera-Baltanás T, Spuch-Calvar C, Varela-Pomar A, Otero-Lamas F, Piñón-Blanco A. MultiTasking Cubes: unha ferramenta para a rehabilitacion cognitiva. In: De-Blas-Varela E, Rodríguez-Vázquez V, Vila-Sobrino XA, Álvarez-González S (eds.). Proxectos INOU 2017 Investigación aplicada na provincia de Ourense. Universidade de Vigo; 2018. p. 63–77. DL: VG 665-2018. ISBN: 978-84-8158-800-2. https://dialnet.unirioja.es/servlet/articulo?codigo=6691641 Enlace
Artículos Científicos
Azeredo J, Azevedo NF, Briandet R, Cerca N, Coenye T, Costa AR, Desvaux M, Di Bonaventura G, Hébraud M, Jaglic Z, Ka?ániová M, Knøchel S, Lourenço A, Mergulhão F, Meyer RL, Nychas G, Simões M, Tresse O, Sternberg C. Critical review on biofilm methods. Crit Rev Microbiol. 2017 May;43(3):313–51. DOI: 10.1080/1040841X.2016.1208146. https://www.tandfonline.com/doi/full/10.1080/1040841X.2016.1208146 +DOI
Blanco-Míguez A, Fdez-Riverola F, Lourenço A, Sánchez B. P4P: A peptidome-based strain-level genome comparison web tool. Nucleic Acids Res. 2017 Jul;45(W1):W265–9. PMID: 28482090. DOI: 10.1093/nar/gkx389. IF2017: 11.561; D1. http://www.ncbi.nlm.nih.gov/pubmed/28482090 +Pubmed+DOI
Blanco-Míguez A, Gutiérrez-Jácome A, Fdez-Riverola F, Lourenço A, Sánchez B. MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota. Database (Oxford). 2017 Jan;2017(1):baw157. PMID: 28077565. DOI: 10.1093/database/baw157. IF2017: 3.978; D1. http://www.ncbi.nlm.nih.gov/pubmed/28077565 +Pubmed+DOI
Fdez-Riverola F, de Paz JF, Domínguez-Mayo FJ, Rocha MP, Saberi Mohamad M. Special Issue: Practical Applications of Computational Biology & Bioinformatics. Interdiscip Sci – Comput Life Sci. 2017;9(1) IF2017: 0.796; Q4. https://link.springer.com/journal/12539/9/1/page/1 Enlace
Fdez-Riverola F, Rocha M. Selected Extended Papers of the 11th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB). J Integr Bioinform. 2017 Dec;14(4) DOI: 10.1515/jib-2017-0071. IF2017: N/A. http://www.degruyter.com/view/j/jib.2017.14.issue-4/jib-2017-0071/jib-2017-0071.xml +DOI
Hidalgo-Cantabrana C, Moro-García MA, Blanco-Míguez A, Fdez-Riverola F, Lourenço A, Alonso-Arias R, Sánchez B. In Silico Screening of the Human Gut Metaproteome Identifies Th17-Promoting Peptides Encrypted in Proteins of Commensal Bacteria. Front Microbiol. 2017 Sep;8:1726. PMID: 28943872. DOI: 10.3389/fmicb.2017.01726. IF2017: 4.019; Q2. http://www.ncbi.nlm.nih.gov/pubmed/28943872 +Pubmed+DOI
Jorge P, Grzywacz D, Kamysz W, Lourenço A, Pereira MO. Searching for new strategies against biofilm infections: Colistin-AMP combinations against Pseudomonas aeruginosa and Staphylococcus aureus single- and double-species biofilms. Kaufmann GF (ed.). PLoS One. 2017 Mar;12(3):e0174654. DOI: 10.1371/journal.pone.0174654. https://dx.plos.org/10.1371/journal.pone.0174654 +DOI
Jorge P, Pérez-Pérez M, Pérez Rodríguez G, Pereira MO, Lourenço A. A network perspective on antimicrobial peptide combination therapies: the potential of colistin, polymyxin B and nisin. Int J Antimicrob Agents. 2017 Jun;49(6):668–76. PMID: 28457834. DOI: 10.1016/j.ijantimicag.2017.02.012. IF2017: 4.253; Q1. http://www.ncbi.nlm.nih.gov/pubmed/28457834 +Pubmed+DOI
Krallinger M, Rabal O, Lourenço A, Oyarzabal J, Valencia A. Information Retrieval and Text Mining Technologies for Chemistry. Chem Rev. 2017 Jun;117(12):7673–761. PMID: 28475312. DOI: 10.1021/acs.chemrev.6b00851. IF2017: 52.613; D1. http://www.ncbi.nlm.nih.gov/pubmed/28475312 +Pubmed+DOI
Pérez-Pérez M, Jorge P, Pérez Rodríguez G, Pereira MO, Lourenço A. Quorum sensing inhibition in Pseudomonas aeruginosa biofilms: new insights through network mining. Biofouling. 2017 Feb;33(2):128–42. DOI: 10.1080/08927014.2016.1272104. https://www.tandfonline.com/doi/full/10.1080/08927014.2016.1272104 +DOI
Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Collaborative relation annotation and quality analysis in Markyt environment. Database. 2017 Jan;2017(BAX090):1–12. PMID: 25619558. DOI: 10.1093/database/bax090. IF2017: 3.978; D1. http://www.ncbi.nlm.nih.gov/pubmed/25619558 +Pubmed+DOI
Rodrigues ME, Lopes SP, Pereira CR, Azevedo NF, Lourenço A, Henriques M, Pereira MO. Polymicrobial Ventilator-Associated Pneumonia: Fighting In Vitro Candida albicans-Pseudomonas aeruginosa Biofilms with Antifungal-Antibacterial Combination Therapy. PLoS One. 2017;12(1):e0170433. PMID: 28114348. DOI: 10.1371/journal.pone.0170433. http://www.ncbi.nlm.nih.gov/pubmed/28114348 +Pubmed+DOI
Rubio-Camarillo M, López-Fernández H, Gómez-López G, Carro Á, Fernández JM, Torre CF, Fdez-Riverola F, Glez-Peña D. RUbioSeq+: A multiplatform application that executes parallelized pipelines to analyse next-generation sequencing data. Comput Methods Programs Biomed. 2017 Jan;138:73–81. DOI: 10.1016/j.cmpb.2016.10.008. https://linkinghub.elsevier.com/retrieve/pii/S0169260716307386 +DOI
Sánchez B, Delgado S, Blanco-Míguez A, Lourenço A, Gueimonde M, Margolles A. Probiotics, gut microbiota, and their influence on host health and disease. Mol Nutr Food Res. 2017 Jan;61(1):1600240. PMID: 27500859. DOI: 10.1002/mnfr.201600240. IF2017: 5.151; D1. http://www.ncbi.nlm.nih.gov/pubmed/27500859 +Pubmed+DOI
Artículos Científicos
Araújo JE, Jorge S, Magriço R, Teixeira e Costa, Ramos A, Reboiro-Jato M, Fdez-Riverola F, Lodeiro C, Capelo JL, Santos HM, Costa TE, Ramos A, Reboiro-Jato M, Fdez-Riverola F, Lodeiro C, Capelo JL, Santos HM. Classifying patients in peritoneal dialysis by mass spectrometry-based profiling. Talanta. 2016 May;152:364–70. PMID: 26992532. DOI: 10.1016/j.talanta.2016.02.026. http://www.ncbi.nlm.nih.gov/pubmed/26992532 +Pubmed+DOI
Blanco-Míguez A, Gutiérrez-Jácome A, Fdez-Riverola F, Lourenço A, Sánchez B. A peptidome-based phylogeny pipeline reveals differential peptides at the strain level within Bifidobacterium animalis subsp. lactis. Food Microbiol. 2016 Dec;60:137–41. PMID: 27554155. DOI: 10.1016/j.fm.2016.06.015. http://www.ncbi.nlm.nih.gov/pubmed/27554155 +Pubmed+DOI
López-Fernández H, de S Pessôa G, Arruda MAZ, Capelo-Martínez JL, Fdez-Riverola F, Glez-Peña D, Reboiro-Jato M. LA-iMageS: a software for elemental distribution bioimaging using LA-ICP-MS data. J Cheminform. Springer International Publishing; 2016 Nov;8(1):65. PMID: 27917244. DOI: 10.1186/s13321-016-0178-7. IF2015: 3.949; D1. http://www.ncbi.nlm.nih.gov/pubmed/27917244 +Pubmed+DOI
Pérez-Rodríguez G, Pérez-Pérez M, Fdez-Riverola F, Lourenço A. High performance computing for three-dimensional agent-based molecular models. J Mol Graph Model. 2016 Jul;68:68–77. PMID: 27372059. DOI: 10.1016/j.jmgm.2016.06.001. http://www.ncbi.nlm.nih.gov/pubmed/27372059 +Pubmed+DOI
Ruiz L, Hidalgo C, Blanco-Míguez A, Lourenço A, Sánchez B, Margolles A. Tackling probiotic and gut microbiota functionality through proteomics. J Proteomics. 2016 Mar;147:28–39. PMID: 27003613. DOI: 10.1016/j.jprot.2016.03.023. http://www.ncbi.nlm.nih.gov/pubmed/27003613 +Pubmed+DOI
Artículos Científicos
Felisberto F, Laza R, Fdez-Riverola F, Pereira A. A distributed multiagent system architecture for body area networks applied to healthcare monitoring. Biomed Res Int. 2015 Jan;2015:192454. PMID: 25874202. DOI: 10.1155/2015/192454. IF: 1.579; Q3. http://www.ncbi.nlm.nih.gov/pubmed/25874202 +Pubmed+DOI
López-Fernández H, Santos HM, Capelo JL, Fdez-Riverola F, Glez-Peña D, Reboiro-Jato M. Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery. BMC Bioinformatics. 2015 Oct;16:318. PMID: 26437641. DOI: 10.1186/s12859-015-0752-4. IF2014: 2.576; Q1. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4595311&tool=pmcentrez&rendertype=abstract +Pubmed+DOI
Pérez-Pérez M, Glez-Peña D, Fdez-Riverola F, Lourenço A. Marky: a tool supporting annotation consistency in multi-user and iterative document annotation projects. Comput Methods Programs Biomed. 2015 Feb;118(2):242–51. PMID: 25480679. DOI: 10.1016/j.cmpb.2014.11.005. IF: 1.897; Q1. http://www.ncbi.nlm.nih.gov/pubmed/25480679 +Pubmed+DOI
Pérez-Rodríguez G, Glez-Peña D, Azevedo NF, Pereira MO, Fdez-Riverola F, Lourenço A. Enabling systematic, harmonised and large-scale biofilms data computation: the Biofilms Experiment Workbench. Comput Methods Programs Biomed. 2015 Mar;118(3):309–21. PMID: 25600941. DOI: 10.1016/j.cmpb.2014.12.005. IF: 1.897; Q1. http://www.ncbi.nlm.nih.gov/pubmed/25600941 +Pubmed+DOI
Pérez-Rodríguez G, Pérez-Pérez M, Glez-Peña D, Fdez-Riverola F, Azevedo NF, Lourenço A. Agent-based spatiotemporal simulation of biomolecular systems within the open source MASON framework. Biomed Res Int. 2015 Jan;2015:769471. PMID: 25874228. DOI: 10.1155/2015/769471. IF: 1.579; Q3. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4385633&tool=pmcentrez&rendertype=abstract +Pubmed+DOI
Artículos Científicos
Costa N, Domingues P, Fdez-Riverola F, Pereira A. A Mobile Virtual Butler to Bridge the Gap between Users and Ambient Assisted Living: A Smart Home Case Study. Sensors. 2014 Aug;14(8):14302–29. PMID: 25102342. DOI: 10.3390/s140814302. IF: 2.245; Q2. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4179076&tool=pmcentrez&rendertype=abstract +Pubmed+DOI
Felisberto F, Fdez-Riverola F, Pereira A. A ubiquitous and low-cost solution for movement monitoring and accident detection based on sensor fusion. Sensors (Basel). 2014 Jan;14(5):8961–83. PMID: 24854360. DOI: 10.3390/s140508961. IF: 2.245; Q2. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4063039&tool=pmcentrez&rendertype=abstract +Pubmed+DOI
Fernández-Costa C, Reboiro-Jato M, Fdez-Riverola F, Ruiz-Romero C, Blanco FJ, Capelo-Martínez J-L. Sequential depletion coupled to C18 sequential extraction as a rapid tool for human serum multiple profiling. Talanta. 2014 Jul;125:189–95. PMID: 24840432. DOI: 10.1016/j.talanta.2014.02.050. IF: 3.545; Q1. http://www.ncbi.nlm.nih.gov/pubmed/24840432 +Pubmed+DOI
Glez-Peña D, Lourenço A, López-Fernández H, Reboiro-Jato M, Fdez-Riverola F. Web scraping technologies in an API world. Brief Bioinform. 2014 Sep;15(5):788–97. PMID: 23632294. DOI: 10.1093/bib/bbt026. IF: 9.617; Q1. http://www.ncbi.nlm.nih.gov/pubmed/23632294 +Pubmed+DOI
Nunes-Miranda JD, Núñez C, Santos HM, Vale G, Reboiro-Jato M, Fdez-Riverola F, Lodeiro C, Miró M, Capelo JL. A mesofluidic platform integrating on-chip probe ultrasonication for multiple sample pretreatment involving denaturation, reduction, and digestion in protein identification assays by mass spectrometry. Analyst. 2014 Mar;139(5):992–5. PMID: 24443721. DOI: 10.1039/c3an02178e. IF: 4.107; Q1. http://www.ncbi.nlm.nih.gov/pubmed/24443721 +Pubmed+DOI
Reboiro-Jato M, Arrais JP, Oliveira JL, Fdez-Riverola F. geneCommittee: a web-based tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification. BMC Bioinformatics. 2014 Jan;15:31. PMID: 24475928. DOI: 10.1186/1471-2105-15-31. IF: 2.576; Q1; http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3909759&tool=pmcentrez&rendertype=abstract +Pubmed+DOI
Reboiro-Jato M, Díaz F, Glez-Peña D, Fdez-Riverola F. A novel ensemble of classifiers that use biological relevant gene sets for microarray classification. Appl Soft Comput. 2014 Apr;17:117–26. DOI: 10.1016/j.asoc.2014.01.002. IF: 2.810; Q1. http://www.sciencedirect.com/science/article/pii/S1568494614000039 +DOI
Código
PDC2021-121644-I00
Título
Validación clínica y plan de acceso al mercado de un sistema CAD basado en Deep Learning para la detección y clasificación de lesiones colorrectales en tiempo real
Financiador
Ministerio de Ciencia – AEI
Tipo
Individual
Duración
2021 – 2023
IP
Miguel Reboiro Jato
Cols.
D. González. F. Fernández
Código
PID2020-113673RB-I00
Título
Modelos basados en aprendizaje automático para detectar y frenar la desinformación sobre salud en redes sociales
Financiador
Ministerio de Ciencia e Innovación
Tipo
Individual
Duración
2021 – 2024
IP
Anália Maria García Lourenço
Cols.
E. Lorenzo. F. Fernández. M. Borrajo
Código
DPI2017-87494-R
Título
POLYDEEP: Sistema inteligente de detección y clasificación en tiempo real de lesiones colorrectales mediante deep learning
Financiador
Ministerio de Economía, Industria y Competitividad
Tipo
Individual
Duración
2018 – 2021
IP
Daniel González Peña
Cols.
F. Fernández. M. Reboiro
Código
TIN2017-84658-C2-1-R
Título
Integración de conocimiento semántico para el filtrado de spam basado en contenido
Financiador
Ministerio de Economía, Industria y Competitividad
Tipo
Coordinado
Duración
2018 – 2020
IP
José Ramón Méndez Reboredo
Cols.
M. Pavón. R. Laza
Código
ED431C 2018/55
Título
GRC: Sistemas Informáticos de Nueva Generación (SING)
Financiador
Consellería de Cultura, Educación e Ordenación Universitaria
Tipo
Individual
Duración
2018 – 2021
IP
Florentino Fernández Riverola
Cols.
A. García. D. González. D. Ruano. E. Lorenzo. H. López. J. Méndez. M. Borrajo. M. Pavón. M. Pérez. M. Reboiro. R. Laza
Código
AGL2016-78311-R
Título
Nuevos métodos para el cultivo y caracterización de probióticos de próxima generación con potencial aplicación en la enfermedad inflamatoria intestinal
Financiador
Ministerio de Economía y Competitividad
Tipo
Individual
Duración
2017 – 2019
IP
Abelardo Margolles Barros; Borja Sánchez García (IP Externo)
Cols.
F. Fernández
Código
ED431G/02
Título
Centros Singulares: Centro de Investigación Biomédica (CINBIO)
Financiador
Consellería de Cultura, Educación e Ordenación Universitaria
Tipo
Coordinado
Duración
2016 – 2019
IP
África González Fernández (IP Externo)
Coordinador
África González Fernández (Coord. UVIGO – IIS Galicia Sur)
Código
TIN2013-47153-C3-3-R
Título
Plataforma de integración de técnicas inteligentes para análisis de información biomédica
Financiador
Ministerio de Economía y Competitividad
Tipo
Coordinado
Duración
2014 – 2017
IP
María Lourdes Borrajo Diz
Coordinador
Manuel de Buenaga Rodríguez (Coord. Universidad Europea de Madrid SL)
Cols.
D. González. E. Lorenzo. F. Fernández. J. Méndez. M. Pavón. M. Reboiro. R. Laza
Código
ESCMID_2014_6
Título
Reconstruction of polymicrobial interactions in infections: the case of Pseudomonas aeruginosa and Candida albicans cross talk in ventilator-associated pneumonia
Financiador
ESCMID: European Society of Clinical Microbiology and Infectious Diseases
Tipo
Individual
Duración
2014 – 2016
IP
Anália Maria García Lourenço
Código
AGL2013-44039-R
Título
Mecanismos de acción del microbioma humano: de las secuencias genéticas a los péptidos inmunomoduladores
Financiador
Ministerio de Economía y Competitividad
Tipo
Individual
Duración
2014 – 2016
IP
Borja Sánchez García (IP Externo)
Cols.
A. García. F. Fernández
Código
FP7-316265-BIOCAPS
Título
Biomedical Capacities Support Program
Financiador
Comisión Europea
Tipo
Multicéntrico
Duración
2013 – 2016
IP
Coordinador: África González (IP Externo)
Coordinador
África González Fernández (Coord. UVIGO – IISGS)
Cols.
A. García. D. González. E. Lorenzo. F. Fernández. H. López. J. Méndez. M. Borrajo. M. Pavón. M. Reboiro. R. Laza
Título
Preprocesamiento inteligente para mejorar la precisión del filtrado de Spam
Diseño e integración de pipelines automatizados que den respuestas a preguntas biológicas complejas relacionadas con secuencias de nucleótidos o aminoácidos
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