Since the subject of nuclear magnetic resonance (NMR) was awarded its first
Nobel Prize in 1952 due to its successful detection by Bloch and Purcell in
1945, the technology and its applications have developed tremendously. The
first two decades were focused on technical developments of instrumentation
and methodologies to apply to the structure determination of compounds.
During the late 1970s, several research groups developed modifications of
NMR probes to convert them to an online mode for the analysis of sample
The technique now known as MS has its roots in atomic physics at the beginning of
the twentieth century, when it was originally applied by physicists toward answering
questions on the nature of atoms. Throughout much of the 1800s, the prevailing
wisdom held that atoms were indivisible, that all atoms of a given element had the
same mass, and that the masses of all elements were multiples of the mass of
This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence alignment because textual sequence is similar to gene sequence in pattern analysis. Theory of Longest Common Subsequence (LCS) originates from computer science and has been established as afﬁne gap model in Bioinformatics. We perform this developed LCS technique combined with linguistic criteria in MWE extraction.