@article {49616, title = {The Theory and Practice of Genome Sequence Assembly}, journal = {Annu Rev Genomics Hum GenetAnnu Rev Genomics Hum Genet}, volume = {16}, year = {2015}, note = {Simpson, Jared T
Pop, Mihai
eng
2015/05/06 06:00
Annu Rev Genomics Hum Genet. 2015 Aug 24;16:153-72. doi: 10.1146/annurev-genom-090314-050032. Epub 2015 Apr 22.}, month = {Aug 24}, pages = {153-72}, abstract = {The current genomic revolution was made possible by joint advances in genome sequencing technologies and computational approaches for analyzing sequence data. The close interaction between biologists and computational scientists is perhaps most apparent in the development of approaches for sequencing entire genomes, a feat that would not be possible without sophisticated computational tools called genome assemblers (short for genome sequence assemblers). Here, we survey the key developments in algorithms for assembling genome sequences since the development of the first DNA sequencing methods more than 35 years ago.}, keywords = {algorithm, Bioinformatics, genome sequencing, sequence assembly, shotgun sequencing}, isbn = {1545-293X (Electronic)
1527-8204 (Linking)}, author = {Simpson, J. T. and Pop, M.} } @article {38289, title = {Genome Assembly Reborn: Recent Computational Challenges}, journal = {Briefings in BioinformaticsBrief BioinformBriefings in BioinformaticsBrief Bioinform}, volume = {10}, year = {2009}, type = {10.1093/bib/bbp026}, abstract = {Research into genome assembly algorithms has experienced a resurgence due to new challenges created by the development of next generation sequencing technologies. Several genome assemblers have been published in recent years specifically targeted at the new sequence data; however, the ever-changing technological landscape leads to the need for continued research. In addition, the low cost of next generation sequencing data has led to an increased use of sequencing in new settings. For example, the new field of metagenomics relies on large-scale sequencing of entire microbial communities instead of isolate genomes, leading to new computational challenges. In this article, we outline the major algorithmic approaches for genome assembly and describe recent developments in this domain.}, keywords = {genome assembly, genome sequencing, next generation sequencing technologies}, isbn = {1467-5463, 1477-4054}, author = {M. Pop} }