Do it yourself guide to genome assembly.
Bioinformatics skills required for genome sequencing often represent a significant hurdle for many researchers working in computational biology. This humble effort highlights the significance of genome assembly as a research area, focuses on its need to remain accurate, provides details about the characteristics of the raw data, examines some key metrics, emphasizes some tools and draws attention to a generic tutorial with example data that outlines the whole pipeline for next-generation sequencing. The article concludes by pointing out some major future research problems.
Bilal
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Wajid
Erchin
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Serpedin
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D017422:Sequence Analysis, DNA / Q000379:methods*
Eulerian path; comparative assembly; de novo assembly; de-Bruijn graphs; genome assembly; next-generation sequencing