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- Alignment-free_sequence_analysis abstract "The emergence and need for the analysis of different types of data generated through biological research has given rise to the field of bioinformatics. Molecular sequence and structure data of DNA, RNA and proteins, gene expression profiles or micro array data, metabolic pathway data are some of the major types of data being analysed in bioinformatics. Among them sequence data is increasing at the exponential rate due to advent of next-generation sequencing technologies. Since the origin of bioinformatics, sequence analysis has remained the major area of research with wide range of applications in database searching, genome annotation, comparative genomics, molecular phylogeny and gene prediction. The pioneering approaches for sequence analysis were based on sequence alignment either global or local, pairwise or multiple sequence alignment. Alignment-based approaches generally give excellent results when the sequences under study are closely related and can be reliably aligned, but when the sequences are divergent, a reliable alignment cannot be obtained and hence the applications of sequence alignment are limited. Another limitation of alignment-based approaches is their computational complexity and are time-consuming and thus, are limited when dealing with large-scale sequence data. The advent of next generation sequencing technologies has resulted in generation of voluminous sequencing data. The size of this sequence data poses challenges on alignment-based algorithms in their assembly, annotation and comparative studies. Thus, alignment-free sequence analysis approaches provide attractive alternatives over alignment-based approaches.".
- Alignment-free_sequence_analysis thumbnail Alignment_based_and_alignment-free_phylogeny.png?width=300.
- Alignment-free_sequence_analysis wikiPageExternalLink homepage.html.
- Alignment-free_sequence_analysis wikiPageExternalLink homepage.html.
- Alignment-free_sequence_analysis wikiPageExternalLink homepage.html.
- Alignment-free_sequence_analysis wikiPageExternalLink decaf+py.
- Alignment-free_sequence_analysis wikiPageExternalLink home.html.
- Alignment-free_sequence_analysis wikiPageExternalLink AllergenFP.
- Alignment-free_sequence_analysis wikiPageExternalLink alfy.
- Alignment-free_sequence_analysis wikiPageExternalLink rush.
- Alignment-free_sequence_analysis wikiPageExternalLink ffp-phylogeny.
- Alignment-free_sequence_analysis wikiPageExternalLink ksnp.
- Alignment-free_sequence_analysis wikiPageExternalLink cvtree.
- Alignment-free_sequence_analysis wikiPageExternalLink usm.github.com.
- Alignment-free_sequence_analysis wikiPageExternalLink agp.
- Alignment-free_sequence_analysis wikiPageExternalLink d2-tools.
- Alignment-free_sequence_analysis wikiPageID "40646055".
- Alignment-free_sequence_analysis wikiPageRevisionID "603839831".
- Alignment-free_sequence_analysis subject Category:Bioinformatics.
- Alignment-free_sequence_analysis subject Category:Computational_biology.
- Alignment-free_sequence_analysis comment "The emergence and need for the analysis of different types of data generated through biological research has given rise to the field of bioinformatics. Molecular sequence and structure data of DNA, RNA and proteins, gene expression profiles or micro array data, metabolic pathway data are some of the major types of data being analysed in bioinformatics. Among them sequence data is increasing at the exponential rate due to advent of next-generation sequencing technologies.".
- Alignment-free_sequence_analysis label "Alignment-free sequence analysis".
- Alignment-free_sequence_analysis sameAs m.0xn_nxz.
- Alignment-free_sequence_analysis sameAs Q16335137.
- Alignment-free_sequence_analysis sameAs Q16335137.
- Alignment-free_sequence_analysis wasDerivedFrom Alignment-free_sequence_analysis?oldid=603839831.
- Alignment-free_sequence_analysis depiction Alignment_based_and_alignment-free_phylogeny.png.
- Alignment-free_sequence_analysis isPrimaryTopicOf Alignment-free_sequence_analysis.