The International Conference “Digital Age & Technological Advances for sustainable development” IC-DATA 2022 was held last week. An event organised by the Faculty of Science and Technology of Al-Hoceima in Morocco. DATA is a comprehensive conference focusing on the various aspects of information technology advances for sustainable development.

The main objective of DATA is to enhance research by reaching the maximum capacity and fostering open debates on digitisation and recent technologies for sustainable development.

In this regard, Juan Manuel Corchado, director of the BISITE Research Group and president of the AIR Institute participated in the third DATA conference to present one of the projects that we are developing. It is a project on a next generation sequencing tool called DeepNGS, that automates the genetic analysis workflow and can help in diagnostic procedures.

Next-generation sequencing: from theory to practice

Also known as massively parallel or deep sequencing, Next Generation Sequencing (NGS) techniques have revolutionised genomic research today. The use of the latest NGS technologies (cloud computing, artificial intelligence, machine learning) makes it possible to sequence entire human genomes in a single day. Previous conventional Sanger technologies took more than a decade to complete this process.

However, NGS has not yet become an everyday clinical practice. End-user applications must meet the real needs of every clinician, every lab technician, every DNA analysis lab, every researcher.

DeepNGS is a fast and automated platform for clinicians and researchers. It processes sequenced human DNA samples and obtains a set of key genetic variants for the clinical diagnosis of any patient.

Our platform incorporates all the patient’s genetic data in a highly secure cloud environment and achieves a higher level of accuracy. It is able to digest the information to ensure the accuracy of the final diagnosis and the appropriateness of treatment recommendations. We are progressively incorporating ML algorithms to optimise the analysis process and achieve even better and more reliable results.

Once the alignment, variant detection and annotation stages have been completed, the intuitive DeepNGS interface provides an overview and a large number of visualisations from which conclusions can be drawn immediately.

It has been an excellent opportunity to showcase the work we are doing at both BISITE and AIR Institute for the advancement of scientific research.

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.