Bioinformatics Dry Laboratories for Research and Education: Computational Systems and Infrastructures
A special issue of Laboratories (ISSN 2813-8856).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 99
Special Issue Editor
Interests: Bioinformatics and computational biology; computer architecture; systems design; data management and integration; big data; omics; personalized medicine; clinical and evolutionary genomics; WGS and WES; bioinformatics laboratory management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Bioinformatics is a relatively recent field of research and education facing many challenges in different countries. These challenges often relate to establishing appropriate infrastructures, computational resources, and facilities for bioinformatic functioning. Adhering to these conditions is important for advancing software and methods in multi-omics data analyses and establishing the necessary educational conditions that facilitate the learning and exploration of diverse bioinformatics tools, methods, and software.
This Special Issue of Laboratories invites authors to publish original and detailed research (articles, reviews, etc.) on all aspects of innovative solutions in bioinformatics laboratories and infrastructures, encompassing planning, management, evaluation, construction, and updates tailored to their specific circumstances and bioinformatics scopes. Preference is given to manuscripts that address high-performance and/or high-throughput computer systems designs, computer architecture, scalability, performance evaluation (benchmarking) of computer designs, dedicated operating systems and languages, infrastructures, networks, and cybersecurity, demonstrating their integration to improve bioinformatics research and/or formation. Similarly to the benchmarking and comparison of bioinformatics software, the analysis of hardware and infrastructure costs, in conjunction with performance evaluation (hardware benchmarking), can provide critical insights for comparing final solutions, thus facilitating the discernment of superior options among various laboratories/infrastructures.
You may choose our Joint Special Issue in Big Data and Cognitive Computing.
Dr. Emanuel Maldonado
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Laboratories is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- cloud computing
- high performance and high throughput computing (HPC and HTC)
- server, workstation, desktop, computer design, and architecture (CPU, RAM, HDD, SSD, etc.)
- computer systems performance and evaluation (UnixBench, etc.)
- NAS operating systems, file systems, RAID systems and variants
- bioinformatics specialized processing hardware (FPGA, CPU, GPU, AI/ML, etc.)
- second-/third-generation sequencing machines and workflow
- omics data sensitivity, privacy, and protection strategies
- big data (omics) management and integration
- domain specific languages
- FAIR principles
- cybersecurity
- computing Milieux
- laboratory planning, costs analysis, management, implementation, and updates
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