Carretero Pérez, JesúsKrefting, Dagmar2021-12-202022-12-012020-11-01Carretero, J., Krefting, D. (2020). New parallel and distributed tools and algorithms for life sciences. Future Generation Computer Systems, 112, pp. 15174-1176. https://doi.org/10.1016/j.future.2020.07.0581872-7115https://hdl.handle.net/10016/33808Computational methods are nowadays ubiquitous in the field of bioinformatics and biomedicine.Besides established fields like molecular dynamics, genomics or neuroimaging, new emerging methodsrely heavily on large scale computational resources. These new methods need to manage Tbytes orPbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computingpower for simulating highly complex models, or many-task processes and workflows for processingand analyzing data. Today, many areas in Life Sciences are facing these challenges. This special issuecontains papers showing existing solutions and latest developments in Life Sciences and Computing Sciences to collaboratively explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.eng© 2020 Published by Elsevier B.V.Atribución-NoComercial-SinDerivadas 3.0 Españabioinformaticsbiomedicinecloud computinggenomicshealthlife sciencesworkflowsresearch articleInformáticahttps://doi.org/10.1016/j.future.2020.07.058open access11741176Future generation computer systems112AR/0000027715