The first module from the MMC analysis of the transcripts significant for a genotype-by-diet interaction effect was a powerful example of how parsing the correlational data into modules exposes underlying function.
For example, BioPerl (http://www.bioperl.org) and Biopython (http://biopython.org/) are widely adopted for the tasks of parsing BLAST output and querying the GENBANK database (2, 3).
The more a CDO understands the nuances of parsing customer needs for B2B as well as B2C, or international and domestic, or CPG and electronics, for example, the greater the anthropological asset s/he brings to the hiring company.
Inevitably, there is a lot of parsing.
However, the performance of parsing tree-based systems is often degraded by chunking or parsing errors.
Not exactly abstract legalese that requires a ton of parsing.
An example of the parsing process to identify the exhaustive history of a sequence and the calculation of the similarity score between two sequences are given below.
The idea is sound: using technology similar to character recognition, a computer can take input from a video camera, for example, and parse the position of a person's lips at specified intervals.
For example, features parsed from reference sequence file are drawn with partial opacity by default, so that the boundaries of features are apparent even if they overlap.
For example, it can parse a variety of popular molecular formats (MOL/SDF, MOL2, PDB/ENT, SMILES/SMARTS, etc)., create the topology and coordinate files for the simulations supported by AMBER, calculate the energy of a specific molecule based on the AMBER force fields, etc.
