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Bioinformatics uses biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The process of analyzing and interpreting data can sometimes be referred to as computational biology , however this distinction between the two terms ...
The Database Issue of NAR is freely available, and categorizes many of the public biological databases. A companion database to the issue called the Online Molecular Biology Database Collection lists 1,380 online databases. [15] Other collections of databases exist such as MetaBase and the Bioinformatics Links Collection. [16] [17]
Sequencing technologies vary in the length of reads produced. Reads of length 20-40 base pairs (bp) are referred to as ultra-short. [2] Typical sequencers produce read lengths in the range of 100-500 bp. [3] However, Pacific Biosciences platforms produce read lengths of approximately 1500 bp. [4] Read length is a factor which can affect the results of biological studies. [5]
Biological data has also been difficult to define, as bioinformatics is a wide-encompassing field. Further, the question of what constitutes as being a living organism has been contentious, as "alive" represents a nebulous term that encompasses molecular evolution, biological modeling, biophysics, and systems biology.
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. [1] In general, networks or graphs are used to capture relationships between entities or objects. [1]
RNA-Seq has the potential to identify new disease biology, profile biomarkers for clinical indications, infer druggable pathways, and make genetic diagnoses. [ 151 ] [ 152 ] These results could be further personalized for subgroups or even individual patients, potentially highlighting more effective prevention, diagnostics, and therapy.
In molecular biology and genetics, DNA annotation or genome annotation is the process of describing the structure and function of the components of a genome, [2] by analyzing and interpreting them in order to extract their biological significance and understand the biological processes in which they participate. [3]
As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes (rather than individual genes) to understand the principles of how the DNA of a species controls its biology at the molecular level and beyond. With the current abundance of massive biological datasets ...