• Big Data Geospatial Processing for Massive Aerial LiDAR Datasets 

      Deibe, David; Amor, Margarita; Doallo, Ramón (M D P I AG, 2020-02-21)
      [Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...
    • Big Data Geospatial Processing for Massive Aerial LiDAR Datasets 

      Deibe, David; Amor, Margarita; Doallo, Ramón (MDPI AG, 2020-02-21)
      [Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...
    • BigDEC: A multi-algorithm Big Data tool based on the k-mer spectrum method for scalable short-read error correction 

      Expósito, Roberto R.; González-Domínguez, Jorge (Elsevier, 2024-05)
      [Abstract]: Despite the significant improvements in both throughput and cost provided by modern Next-Generation Sequencing (NGS) platforms, sequencing errors in NGS datasets can still degrade the quality of downstream ...
    • SMusket: Spark-based DNA error correction on distributed-memory systems 

      Expósito, Roberto R.; González-Domínguez, Jorge; Touriño, Juan (Elsevier B.V., 2020)
      [Abstract]: Next-Generation Sequencing (NGS) technologies have revolutionized genomics research over the last decade, bringing new opportunities for scientists to perform groundbreaking biological studies. Error correction ...
    • SparkEC: speeding up alignment-based DNA error correction tools 

      Expósito, Roberto R.; Martínez-Sánchez, Marco; Touriño, Juan (BioMed Central (Springer), 2022)
      [Abstract]: In recent years, huge improvements have been made in the context of sequencing genomic data under what is called Next Generation Sequencing (NGS). However, the DNA reads generated by current NGS platforms are ...