In the past, many computing technologies have been proposed and utilized to accelerate biologists/chemists to analyze biological and chemical data, such as homology detection, evolutionary analysis, function prediction, computer-aided drug design, and cheminformatics. Leveraging a power of these technologies, a lot of tools and services are valuable for biologists/chemists to efficiently analyze large-scale and complicated data. However, today's data is being generated and collected at an incredible scale, the buzzword "big data". For instance, an individual laboratory can generate terabase scales of DNA and RNA sequencing data within a day by next-generation sequencing technologies. It is difficult to manage and process big biological and chemical data using conventional methods due to not only their size but also their complexity. It requires entirely different thoughts, while the major obstacle could be the complexity, size, or integration of various data sources. These barriers spur the revolutions of both storage and computing technologies whereby the developed tool and service can be highly scalable, totally reliable, more elastic, and so on. Therefore, the computing technologies required to maintain, process, and integrate the large amounts of data are beyond the reach of small laboratories and introduce serious challenges even for large institutes. Success at the bioinformatics and cheminformatics fields will heavily rely on an ability to explain these large-scale and great diversification data, which encourage biologists/chemists to adopt novel computing technologies. This special issue is inviting original research and review articles in this field. Potential topics include, but are not limited to:

• Novel storage technologies to store biological and chemical data
• Novel computing technologies to analyze biological and chemical data
• Novel integration technologies to manage various biological and chemical databases
• Novel visualization technologies for expressing biological and chemical data
• Novel high-performance computing technologies for accelerating computational biology and computational chemistry
• Novel tools and services for bioinformatics and cheminformatics
• Introducing novel challenges for bioinformatics and cheminformatics
• A review for developing technologies in bioinformatics and cheminformatics

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/bmri/bioinformatics/novel/ according to the following timetable: