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MaxSSmap: A GPU program for mapping divergent short reads to genomes with the maximum scoring subsequence
Turki Turki,
Usman Roshan
Data Science
Computer Science
Research output
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Contribution to journal
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Article
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peer-review
6
Scopus citations
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Dive into the research topics of 'MaxSSmap: A GPU program for mapping divergent short reads to genomes with the maximum scoring subsequence'. Together they form a unique fingerprint.
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Keyphrases
Subsequence
100%
GPU Programming
100%
Short Reads
100%
Smith-Waterman
100%
Escherichia Coli
50%
Hash Table
50%
Low Error
50%
Human Chromosomes
50%
Accuracy Error
50%
Burrows-Wheeler
50%
Disjoint
25%
Local Region
25%
Comparable Accuracy
25%
Read Length
25%
Smith-Waterman Algorithm
25%
DNA Reads
25%
1000 Genomes
25%
Mapping Quality
25%
NA12878
25%
Illumina
25%
High-score
25%
Medicine and Dentistry
Escherichia coli
100%
Human Chromosome
100%
Smith-Waterman Algorithm
50%
Bacterial Genome
50%
Biochemistry, Genetics and Molecular Biology
Escherichia coli
100%
Human Chromosome
100%
Bacterial Genome
50%
Computer Science
Hash Table
100%
Waterman Algorithm
50%