Do it yourself guide to genome assembly. Academic Article

abstract

• 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.

authors

• Serpedin, Erchin

published proceedings

• Brief Funct Genomics

altmetric score

• 11.25

author list (cited authors)

• Wajid, B., & Serpedin, E.

citation count

• 19

complete list of authors

• Wajid, Bilal||Serpedin, Erchin

publication date

• January 2016

publisher

• Oxford University Press (OUP)  Publisher

published in

• n2041-2649ISSN  Journal

keywords

• Algorithms
• Comparative Assembly
• Computational Biology
• De Novo Assembly
• De-bruijn Graphs
• Eulerian Path
• Genome Assembly
• Genome, Human
• Genomics
• High-Throughput Nucleotide Sequencing
• Humans
• Next-generation Sequencing
• Sequence Analysis, DNA

PubMed Central ID

• 25392234

Digital Object Identifier (DOI)

• 10.1093/bfgp/elu042

start page

• 1

end page

• 9

volume

• 15

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1093%2Fbfgp%2Felu042