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Rana et al., 2016 - Google Patents

Comparison of de novo transcriptome assemblers and k-mer strategies using the killifish, Fundulus heteroclitus

Rana et al., 2016

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Document ID
12116504063669069868
Author
Rana S
Zadlock IV F
Zhang Z
Murphy W
Bentivegna C
Publication year
Publication venue
PloS one

External Links

Snippet

Background De novo assembly of non-model organism's transcriptomes has recently been on the rise in concert with the number of de novo transcriptome assembly software programs. There is a knowledge gap as to what assembler software or k-mer strategy is best …
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    • G06F19/22Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
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