Publicacións (99) Publicacións de MIGUEL REBOIRO JATO

2024

  1. Auto-phylo v2 and auto-phylo-pipeliner: building advanced, flexible, and reusable pipelines for phylogenetic inferences, estimation of variability levels and identification of positively selected amino acid sites

    JOURNAL OF INTEGRATIVE BIOINFORMATICS, Vol. 21, Núm. 2

  2. Multiple Lines of Evidence Support 199 SARS-CoV-2 Positively Selected Amino Acid Sites

    International Journal of Molecular Sciences, Vol. 25, Núm. 4

  3. Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system

    Frontiers in Oncology, Vol. 14

  4. SEDA 2024 update: enhancing the SEquence DAtaset builder for seamless integration into automated data analysis pipelines

    BMC Bioinformatics, Vol. 25, Núm. 1

2023

  1. Auto-phylo: A Pipeline Maker for Phylogenetic Studies

    Lecture Notes in Networks and Systems

  2. Auto-phylo: a pipeline maker for phylogenetic studies

    Practical applications of computational biology and bioinformatics, 17th International Conference (PACBB 2023)

  3. EvoPPI 2: A Web and Local Platform for the Comparison of Protein–Protein Interaction Data from Multiple Sources from the Same and Distinct Species

    Lecture Notes in Networks and Systems

  4. Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp Detection

    Diagnostics, Vol. 13, Núm. 5

  5. On the identification of potential novel therapeutic targets for spinocerebellar ataxia type 1 (SCA1) neurodegenerative disease using EvoPPI3

    Journal of integrative bioinformatics, Vol. 20, Núm. 2

  6. PanDrugs2: Prioritizing cancer therapies using integrated individual multi-omics data

    Nucleic Acids Research, Vol. 51, Núm. W1, pp. W411-W418

2022

  1. Enhancing sepsis management through machine learning techniques: A review

    Medicina Intensiva, Vol. 46, Núm. 3, pp. 140-156

  2. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets

    Diagnostics, Vol. 12, Núm. 4

  3. Real-time polyp detection model using convolutional neural networks

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10375-10396

  4. SEDA: A Desktop Tool Suite for FASTA Files Processing

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19, Núm. 3, pp. 1850-1860

  5. The pegi3s Bioinformatics Docker Images Project

    Lecture Notes in Networks and Systems

2021

  1. Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines

    Advances in Intelligent Systems and Computing

  2. Compi: A framework for portable and reproducible pipelines

    PeerJ Computer Science, Vol. 7, pp. 1-21

  3. DREIMT: a drug repositioning database and prioritization tool for immunomodulation

    Bioinformatics (Oxford, England), Vol. 37, Núm. 4, pp. 578-579

  4. Deep Neural Networks approaches for detecting and classifying colorectal polyps

    Neurocomputing, Vol. 423, pp. 721-734

  5. Inferences on Mycobacterium Leprae Host Immune Response Escape and Antibiotic Resistance Using Genomic Data and GenomeFastScreen

    Advances in Intelligent Systems and Computing