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An evolutionary multiobjective optimization algorithm is proposed, with a local search procedure based on quadratic approximation supported by a hash table information storage.
We keep a graph with the link information in store, indexed by a hash table, for direct access to the nodes in the graph.
Note that even in the case when querying T t weakly depends on its size (e.g. when T t is implemented by a hash table), the query time will not increase much, due to our choice of a small value for t, as discussed earlier.
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In practice, this is done by using a hash table for storing values of Q.
There are ways to align bisulfite colorspace sequences with methylation-aware alignment approaches, which convert bisulfite colorspace sequences to basespace and index all theoretically possible alignments by creating a hash table.
The ustacks (unique stacks) program reads cleaned sequences and distills data into unique, exactly matching stacks by loading reads into a hash table.
We can reduce the size of a hash table by sampling the genomic oligomers that are indexed in the table.
For each flow, populate and update a hash table, LHash, by using the source IP address as the key.
For each flow, populate and update a hash table, RHash, by using the destination IP address as the key.
MapNext processes the set of query reads to build a hash table indexed by seed.
Approximate alignment positions of mapped reads were estimated using the position of the spaced 20-mers, and all 60-mers existing in the read were stored in a hash table used by the de-novo assembler.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com