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2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), 2016
Sequence alignment has been used to align DNA sequences to find matching segments of DNA from different specimens. Just as DNA sequences can be used to find similar patterns in DNA, this process can also be used on computer programs to identify when segments of code have been reused.
Andrew Dinh+3 more
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Sequence alignment has been used to align DNA sequences to find matching segments of DNA from different specimens. Just as DNA sequences can be used to find similar patterns in DNA, this process can also be used on computer programs to identify when segments of code have been reused.
Andrew Dinh+3 more
openaire +2 more sources
Multiple Sequence Alignment [PDF]
Multiple Sequence alignment (MSA) is a generalization of Pairwise Sequence Alignment to multiple sequences. Thus, instead of aligning two sequences, the objective in MSA is to align k sequences simultaneously such an overall functional is optimized. The motivation behind doing a MSA is that it allows us to extract consensus evident in a widely diverse ...
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Multiprocessor Sequence Alignment
1996As stated in Chapter 3, the Human Genome Project has generated a massive volume of sequence data. Furthermore, longer sequences are being generated due to recent advances in sequencing technology. Consequently, the computational performance needed to analyze these new sequences is increasing enormously.
Tieng K. Yap+2 more
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Synthesis and alignment of liquid crystalline elastomers
Nature Reviews Materials, 2022Hayden E Fowler+2 more
exaly
2009
Sequence alignment is one of the most fundamental problems in computational biology. Ordinarily, the problem aims to align symbols of given sequences in a way to optimize similarity score. This score is computed using a given scoring matrix that assigns a score to every pair of symbols in an alignment.
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Sequence alignment is one of the most fundamental problems in computational biology. Ordinarily, the problem aims to align symbols of given sequences in a way to optimize similarity score. This score is computed using a given scoring matrix that assigns a score to every pair of symbols in an alignment.
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3D PrintingâEnabled Nanoparticle Alignment: A Review of Mechanisms and Applications
Small, 2021Brent L Vernon+2 more
exaly
Molecular Alignment of Homoleptic Iridium Phosphors in Organic LightâEmitting Diodes
Advanced Materials, 2021Daniel Sylvinson Muthiah Ravinson+2 more
exaly
2017
Introduction Phylogeny estimation generally begins by estimating a multiple sequence alignment on the set of sequences. Once the multiple sequence alignment is computed, a tree can then be computed on the alignment (Figure 9.1). Not surprisingly, errors in multiple sequence alignment estimation tend to produce errors in estimated ...
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Introduction Phylogeny estimation generally begins by estimating a multiple sequence alignment on the set of sequences. Once the multiple sequence alignment is computed, a tree can then be computed on the alignment (Figure 9.1). Not surprisingly, errors in multiple sequence alignment estimation tend to produce errors in estimated ...
openaire +2 more sources