Another body of evidence in support of the existence of an observation/execution matching system in humans comes from transcranial magnetic stimulation studies (Fadiga et alia 1995).
Moreover, for many of the non-existing routes, GIMME can identify a negative quickly in line 3 of Algorithm 1, that is, using the fact that the GM algorithm already identifies non-existence of a match (for single edges) by a quick proximity search.
We first show that without any restrictions on the regional structure, checking the existence of a feasible matching that satisfies all quotas is NP-complete.
Then, assuming that regions have a hierarchical structure (i.e., a tree), we show that checking the existence of a feasible matching can be done in time linear in the number of regions.
We develop a method to denote the existence of a process match, which is generally addressed using discrete variables.
It remains, however, that target recognition follows a complex set of rules dominated by the existence of a perfect match between 6 and 8 nt located in the 5′ region of the miRNA (called the 'seed') and the target mRNA (Grimson et al., 2007).
This provides the basis for a seed-extend strategy of using efficient algorithms for finding one initial exact q-gram match, exploring whether additional exact q-gram matches support the existence of an approximate match, Figure 1 (left), and then use an efficient alignment algorithm, such as Myers' bit-vector algorithm (Myers, 1999), to verify and assess the quality of the match.
We report on the structure of each element, their potentiality to encode a functional transposase, and the existence of matching ESTs that could suggest their transcription.
In the first step of these type of algorithms, the video structure is analyzed for the existence of matching frames within the sequence.
