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Raw data is a relative term (see data), because even once raw data have been "cleaned" and processed by one team of researchers, another team may consider these processed data to be "raw data" for another stage of research. Raw data can be inputted to a computer program or used in manual procedures such as analyzing statistics from a survey.
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.
Binary Alignment Map (BAM) is the comprehensive raw data of genome sequencing; [1] it consists of the lossless, compressed binary representation of the Sequence Alignment Map-files. [2] [3] BAM is the compressed binary representation of SAM (Sequence Alignment Map), a compact and index-able representation of nucleotide sequence alignments. [4]
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 central principle of biology showing the flow of information from DNA to the phenotype. Associated with each stage is the corresponding systems biology tool, from genomics to metabolomics. Metabolomics is the scientific study of chemical processes involving metabolites, the small molecule substrates, intermediates, and products of cell ...
The Perfect Scrambled Egg Method. I don't stray from my tried-and-true ratio, but have introduced two big changes: First, the splash of cream is replaced by a small splash of good olive oil.
The tattooed corpse of a woman was found bizarrely stuffed in a refrigerator dumped in some New Jersey woods — and cops say they need the public’s help identifying her.
Data are analyzed using techniques such as calculation, reasoning, discussion, presentation, visualization, or other forms of post-analysis. Prior to analysis, raw data (or unprocessed data) is typically cleaned: Outliers are removed, and obvious instrument or data entry errors are corrected.