The Gel Documentation System: A Cornerstone to the Implementation of the Introduction to Biotechnology and Introduction to Bioinformatics Cross-Disciplinary Course Series (FINAL REPORT)

Our original goal was to offer Pace undergraduate students opportunities to be introduced to both Biotechnology and Computer Science as it relates to Bioinformatics. We proposed a two course series, offered to both computer science and biology students that will increase both biological and computer science literacy of our students. The two courses are Introduction to Biotechnology (BIO 372) and Introduction to Bioinformatics

10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017

Agapito, G., Cannataro, M., Castelli, M., Dondi, R., & Zoppis, I. (2017). 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. Procedia Computer Science, 108, 1113-1114. https://doi.org/10.1016/j.procs.2017.05.279We present the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017, held in Zurich, 12 - 14 June 2017.publishersversionpublishe

Thinking Outside the Box: Using Computer Science Skills to Make Sense of the Biology of Life

While I liked coding and the logical aspects of computer programming, my gut was telling me I hadn\u27t quite found my niche yet. In what field could my computer science skills make a difference while also providing me with challenging problems to solve? As these questions percolated through my subconscious, I came across a brief article about a field called “bioinformatics.

Bioinformatics Databases: State of the Art and Research Perspectives

Bioinformatics or computational biology, i.e. the application of mathematical and computer science methods to solving problems in molecular biology that require large scale data, computation, and analysis, is a research area currently receiving a considerable attention. Databases play an essential role in molecular biology and consequently in bioinformatics. molecular biology data are often relatively cheap to produce, leading to a proliferation of databases: the number of bioinformatics databases accessible worldwide probably lies between 500 and 1.000. Not only molecular biology data, but also molecular biology literature and literature references are stored in databases. Bioinformatics databases are often very large (e.g. the sequence database GenBank contains more than 4 × 10 6 nucleotide sequences) and in general grows rapidly (e.g. about 8000 abstracts are added every month to the literature database PubMed). Bioinformatics databases are heterogeneous in their data, in their data modeling paradigms, in their management systems, and in the data analysis tools they supports. Furthermore, bioinformatics databases are often implemented, queried, updated, and managed using methods rarely applied for other databases. This presentation aims at introducing in current bioinformatics databases, stressing their aspects departing from conventional databases. A more detailed survey can be found in [1] upon which thi

Bioinformatics: Challenges in Integrating Biological Information

Bioinformatics has become a buzzword in today's world of science. About twenty or thirty years ago, people saw biology and computer science as two completely different fields. However, at present, it seems that a new bridge has been built that connects these two fields, and this new field is called bioinformatics. Bioinformatics is an challenging and exciting new multidisciplinary field. This field combines methods of statistics, mathematics, computer science and information technology to solve problems based on biological data. Advances in experimental technology have generated large amounts of data. Therefore, managing and extracting useful information from these sources is essential if we are to discover new knowledge to advance our understanding of life. In this article, we try to discuss what is bioinformatics?, The basic knowledge needed to understand bionformatics and the reasons that are very important for biologists to learn and apply bioinformatics. In addition, we also discuss an introduction to biological terminology that will be widely used in the field of bioinformatics. We are confident that this review will provide valuable insights and serve as a starting point for researchers to become acquainted with and study bioinformatics.

A Molecular Biology Database Digest

Computational Biology or Bioinformatics has been defined as the application of mathematical and Computer Science methods to solving problems in Molecular Biology that require large scale data, computation, and analysis [18]. As expected, Molecular Biology databases play an essential role in Computational Biology research and development. This paper introduces into current Molecular Biology databases, stressing data modeling, data acquisition, data retrieval, and the integration of Molecular Biology data from different sources. This paper is primarily intended for an audience of computer scientists with a limited background in Biology