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  • 1
    Publication Date: 2010-10-12
    Description: Culex quinquefasciatus (the southern house mosquito) is an important mosquito vector of viruses such as West Nile virus and St. Louis encephalitis virus, as well as of nematodes that cause lymphatic filariasis. C. quinquefasciatus is one species within the Culex pipiens species complex and can be found throughout tropical and temperate climates of the world. The ability of C. quinquefasciatus to take blood meals from birds, livestock, and humans contributes to its ability to vector pathogens between species. Here, we describe the genomic sequence of C. quinquefasciatus: Its repertoire of 18,883 protein-coding genes is 22% larger than that of Aedes aegypti and 52% larger than that of Anopheles gambiae with multiple gene-family expansions, including olfactory and gustatory receptors, salivary gland genes, and genes associated with xenobiotic detoxification.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740384/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740384/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Arensburger, Peter -- Megy, Karine -- Waterhouse, Robert M -- Abrudan, Jenica -- Amedeo, Paolo -- Antelo, Beatriz -- Bartholomay, Lyric -- Bidwell, Shelby -- Caler, Elisabet -- Camara, Francisco -- Campbell, Corey L -- Campbell, Kathryn S -- Casola, Claudio -- Castro, Marta T -- Chandramouliswaran, Ishwar -- Chapman, Sinead B -- Christley, Scott -- Costas, Javier -- Eisenstadt, Eric -- Feschotte, Cedric -- Fraser-Liggett, Claire -- Guigo, Roderic -- Haas, Brian -- Hammond, Martin -- Hansson, Bill S -- Hemingway, Janet -- Hill, Sharon R -- Howarth, Clint -- Ignell, Rickard -- Kennedy, Ryan C -- Kodira, Chinnappa D -- Lobo, Neil F -- Mao, Chunhong -- Mayhew, George -- Michel, Kristin -- Mori, Akio -- Liu, Nannan -- Naveira, Horacio -- Nene, Vishvanath -- Nguyen, Nam -- Pearson, Matthew D -- Pritham, Ellen J -- Puiu, Daniela -- Qi, Yumin -- Ranson, Hilary -- Ribeiro, Jose M C -- Roberston, Hugh M -- Severson, David W -- Shumway, Martin -- Stanke, Mario -- Strausberg, Robert L -- Sun, Cheng -- Sutton, Granger -- Tu, Zhijian Jake -- Tubio, Jose Manuel C -- Unger, Maria F -- Vanlandingham, Dana L -- Vilella, Albert J -- White, Owen -- White, Jared R -- Wondji, Charles S -- Wortman, Jennifer -- Zdobnov, Evgeny M -- Birren, Bruce -- Christensen, Bruce M -- Collins, Frank H -- Cornel, Anthony -- Dimopoulos, George -- Hannick, Linda I -- Higgs, Stephen -- Lanzaro, Gregory C -- Lawson, Daniel -- Lee, Norman H -- Muskavitch, Marc A T -- Raikhel, Alexander S -- Atkinson, Peter W -- HHSN266200400001C/PHS HHS/ -- HHSN266200400039C/AI/NIAID NIH HHS/ -- HHSN266200400039C/PHS HHS/ -- N01-AI-30071/AI/NIAID NIH HHS/ -- N01AI30071/AI/NIAID NIH HHS/ -- ZIA AI000810-13/Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 Oct 1;330(6000):86-8. doi: 10.1126/science.1191864.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Disease Vector Research, University of California Riverside, Riverside, CA 92521, USA. arensburger@gmail.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20929810" target="_blank"〉PubMed〈/a〉
    Keywords: Aedes/genetics ; Animals ; Anopheles gambiae/genetics ; Chromosome Mapping ; Chromosomes/*genetics ; Culex/classification/*genetics/physiology ; DNA Transposable Elements ; *Genes, Insect ; *Genome ; Insect Proteins/genetics/physiology ; Insect Vectors/genetics ; Molecular Sequence Data ; Multigene Family ; Phylogeny ; Receptors, Odorant/genetics ; Retroelements ; *Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-10-19
    Description: Motivation: Second-generation sequencing technologies produce high coverage of the genome by short reads at a low cost, which has prompted development of new assembly methods. In particular, multiple algorithms based on de Bruijn graphs have been shown to be effective for the assembly problem. In this article, we describe a new hybrid approach that has the computational efficiency of de Bruijn graph methods and the flexibility of overlap-based assembly strategies, and which allows variable read lengths while tolerating a significant level of sequencing error. Our method transforms large numbers of paired-end reads into a much smaller number of longer ‘super-reads’. The use of super-reads allows us to assemble combinations of Illumina reads of differing lengths together with longer reads from 454 and Sanger sequencing technologies, making it one of the few assemblers capable of handling such mixtures. We call our system the Maryland Super-Read Celera Assembler (abbreviated MaSuRCA and pronounced ‘mazurka’). Results: We evaluate the performance of MaSuRCA against two of the most widely used assemblers for Illumina data, Allpaths-LG and SOAPdenovo2, on two datasets from organisms for which high-quality assemblies are available: the bacterium Rhodobacter sphaeroides and chromosome 16 of the mouse genome. We show that MaSuRCA performs on par or better than Allpaths-LG and significantly better than SOAPdenovo on these data, when evaluated against the finished sequence. We then show that MaSuRCA can significantly improve its assemblies when the original data are augmented with long reads. Availability: MaSuRCA is available as open-source code at ftp://ftp.genome.umd.edu/pub/MaSuRCA/ . Previous (pre-publication) releases have been publicly available for over a year. Contact: alekseyz@ipst.umd.edu Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 3
    Publication Date: 2013-07-06
    Description: Motivation: A large and rapidly growing number of bacterial organisms have been sequenced by the newest sequencing technologies. Cheaper and faster sequencing technologies make it easy to generate very high coverage of bacterial genomes, but these advances mean that DNA preparation costs can exceed the cost of sequencing for small genomes. The need to contain costs often results in the creation of only a single sequencing library, which in turn introduces new challenges for genome assembly methods. Results: We evaluated the ability of multiple genome assembly programs to assemble bacterial genomes from a single, deep-coverage library. For our comparison, we chose bacterial species spanning a wide range of GC content and measured the contiguity and accuracy of the resulting assemblies. We compared the assemblies produced by this very high-coverage, one-library strategy to the best assemblies created by two-library sequencing, and we found that remarkably good bacterial assemblies are possible with just one library. We also measured the effect of read length and depth of coverage on assembly quality and determined the values that provide the best results with current algorithms. Contact: salzberg@jhu.edu Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 4
    Publication Date: 2013-03-21
    Description: Since its launch in 2004, the open-source AMOS project has released several innovative DNA sequence analysis applications including: Hawkeye, a visual analytics tool for inspecting the structure of genome assemblies; the Assembly Forensics and FRCurve pipelines for systematically evaluating the quality of a genome assembly; and AMOScmp, the first comparative genome assembler. These applications have been used to assemble and analyze dozens of genomes ranging in complexity from simple microbial species through mammalian genomes. Recent efforts have been focused on enhancing support for new data characteristics brought on by second- and now third-generation sequencing. This review describes the major components of AMOS in light of these challenges, with an emphasis on methods for assessing assembly quality and the visual analytics capabilities of Hawkeye. These interactive graphical aspects are essential for navigating and understanding the complexities of a genome assembly, from the overall genome structure down to individual bases. Hawkeye and AMOS are available open source at http://amos.sourceforge.net .
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
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  • 5
    Publication Date: 2011-12-23
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
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