Heuristic search algorithms, such as BLAST, are often used to find homologous sequences since they avoid computing the expensive dynamic programming alignment.
Typically, the likelihoods for such models are computed via expensive experiments such as cosmological simulations of the universe.
To avoid the compute-expensive pairwise alignment, existing methods typically identify common kmers (de Bruijn graph based methods) or maximal substrings (overlap-layout-consensus based methods) among input reads, achieved using efficient data structures such as de Bruijn graphs [ 24, 25], suffix tree/array [ 29], and Burrows-Wheeler transformation [ 30].
That may help spur sales locally but could also increase costs by duplicating computing nodes, which will make cloud computing a more expensive proposition in Europe.
With devices becoming less expensive, computing power is becoming greater every day.
Ten years ago, when computing power was expensive, scientists had to be very selective about what they were looking for.
It is well established that GPU computing systems can achieve similar computation throughputs (floating point operations per second; FLOPS) as computing clusters, using less expensive equipment and less power [ 112, 113].
The relaxed Lasso solutions include all regular Lasso solutions and computation of all relaxed Lasso solutions is often identically expensive as computing all regular Lasso solutions.
In the early days, when computing was expensive, most applications ran on mainframes and were accessed by "dumb" terminals.
The major issues faced by cloud computing are expensive roaming charges and growing demand for radio access.
