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  • 1
    Publication Date: 2001-02-22
    Description: A 2.91-billion base pair (bp) consensus sequence of the euchromatic portion of the human genome was generated by the whole-genome shotgun sequencing method. The 14.8-billion bp DNA sequence was generated over 9 months from 27,271,853 high-quality sequence reads (5.11-fold coverage of the genome) from both ends of plasmid clones made from the DNA of five individuals. Two assembly strategies-a whole-genome assembly and a regional chromosome assembly-were used, each combining sequence data from Celera and the publicly funded genome effort. The public data were shredded into 550-bp segments to create a 2.9-fold coverage of those genome regions that had been sequenced, without including biases inherent in the cloning and assembly procedure used by the publicly funded group. This brought the effective coverage in the assemblies to eightfold, reducing the number and size of gaps in the final assembly over what would be obtained with 5.11-fold coverage. The two assembly strategies yielded very similar results that largely agree with independent mapping data. The assemblies effectively cover the euchromatic regions of the human chromosomes. More than 90% of the genome is in scaffold assemblies of 100,000 bp or more, and 25% of the genome is in scaffolds of 10 million bp or larger. Analysis of the genome sequence revealed 26,588 protein-encoding transcripts for which there was strong corroborating evidence and an additional approximately 12,000 computationally derived genes with mouse matches or other weak supporting evidence. Although gene-dense clusters are obvious, almost half the genes are dispersed in low G+C sequence separated by large tracts of apparently noncoding sequence. Only 1.1% of the genome is spanned by exons, whereas 24% is in introns, with 75% of the genome being intergenic DNA. Duplications of segmental blocks, ranging in size up to chromosomal lengths, are abundant throughout the genome and reveal a complex evolutionary history. Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems. DNA sequence comparisons between the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nucleotide polymorphisms (SNPs). A random pair of human haploid genomes differed at a rate of 1 bp per 1250 on average, but there was marked heterogeneity in the level of polymorphism across the genome. Less than 1% of all SNPs resulted in variation in proteins, but the task of determining which SNPs have functional consequences remains an open challenge.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Venter, J C -- Adams, M D -- Myers, E W -- Li, P W -- Mural, R J -- Sutton, G G -- Smith, H O -- Yandell, M -- Evans, C A -- Holt, R A -- Gocayne, J D -- Amanatides, P -- Ballew, R M -- Huson, D H -- Wortman, J R -- Zhang, Q -- Kodira, C D -- Zheng, X H -- Chen, L -- Skupski, M -- Subramanian, G -- Thomas, P D -- Zhang, J -- Gabor Miklos, G L -- Nelson, C -- Broder, S -- Clark, A G -- Nadeau, J -- McKusick, V A -- Zinder, N -- Levine, A J -- Roberts, R J -- Simon, M -- Slayman, C -- Hunkapiller, M -- Bolanos, R -- Delcher, A -- Dew, I -- Fasulo, D -- Flanigan, M -- Florea, L -- Halpern, A -- Hannenhalli, S -- Kravitz, S -- Levy, S -- Mobarry, C -- Reinert, K -- Remington, K -- Abu-Threideh, J -- Beasley, E -- Biddick, K -- Bonazzi, V -- Brandon, R -- Cargill, M -- Chandramouliswaran, I -- Charlab, R -- Chaturvedi, K -- Deng, Z -- Di Francesco, V -- Dunn, P -- Eilbeck, K -- Evangelista, C -- Gabrielian, A E -- Gan, W -- Ge, W -- Gong, F -- Gu, Z -- Guan, P -- Heiman, T J -- Higgins, M E -- Ji, R R -- Ke, Z -- Ketchum, K A -- Lai, Z -- Lei, Y -- Li, Z -- Li, J -- Liang, Y -- Lin, X -- Lu, F -- Merkulov, G V -- Milshina, N -- Moore, H M -- Naik, A K -- Narayan, V A -- Neelam, B -- Nusskern, D -- Rusch, D B -- Salzberg, S -- Shao, W -- Shue, B -- Sun, J -- Wang, Z -- Wang, A -- Wang, X -- Wang, J -- Wei, M -- Wides, R -- Xiao, C -- Yan, C -- Yao, A -- Ye, J -- Zhan, M -- Zhang, W -- Zhang, H -- Zhao, Q -- Zheng, L -- Zhong, F -- Zhong, W -- Zhu, S -- Zhao, S -- Gilbert, D -- Baumhueter, S -- Spier, G -- Carter, C -- Cravchik, A -- Woodage, T -- Ali, F -- An, H -- Awe, A -- Baldwin, D -- Baden, H -- Barnstead, M -- Barrow, I -- Beeson, K -- Busam, D -- Carver, A -- Center, A -- Cheng, M L -- Curry, L -- Danaher, S -- Davenport, L -- Desilets, R -- Dietz, S -- Dodson, K -- Doup, L -- Ferriera, S -- Garg, N -- Gluecksmann, A -- Hart, B -- Haynes, J -- Haynes, C -- Heiner, C -- Hladun, S -- Hostin, D -- Houck, J -- Howland, T -- Ibegwam, C -- Johnson, J -- Kalush, F -- Kline, L -- Koduru, S -- Love, A -- Mann, F -- May, D -- McCawley, S -- McIntosh, T -- McMullen, I -- Moy, M -- Moy, L -- Murphy, B -- Nelson, K -- Pfannkoch, C -- Pratts, E -- Puri, V -- Qureshi, H -- Reardon, M -- Rodriguez, R -- Rogers, Y H -- Romblad, D -- Ruhfel, B -- Scott, R -- Sitter, C -- Smallwood, M -- Stewart, E -- Strong, R -- Suh, E -- Thomas, R -- Tint, N N -- Tse, S -- Vech, C -- Wang, G -- Wetter, J -- Williams, S -- Williams, M -- Windsor, S -- Winn-Deen, E -- Wolfe, K -- Zaveri, J -- Zaveri, K -- Abril, J F -- Guigo, R -- Campbell, M J -- Sjolander, K V -- Karlak, B -- Kejariwal, A -- Mi, H -- Lazareva, B -- Hatton, T -- Narechania, A -- Diemer, K -- Muruganujan, A -- Guo, N -- Sato, S -- Bafna, V -- Istrail, S -- Lippert, R -- Schwartz, R -- Walenz, B -- Yooseph, S -- Allen, D -- Basu, A -- Baxendale, J -- Blick, L -- Caminha, M -- Carnes-Stine, J -- Caulk, P -- Chiang, Y H -- Coyne, M -- Dahlke, C -- Mays, A -- Dombroski, M -- Donnelly, M -- Ely, D -- Esparham, S -- Fosler, C -- Gire, H -- Glanowski, S -- Glasser, K -- Glodek, A -- Gorokhov, M -- Graham, K -- Gropman, B -- Harris, M -- Heil, J -- Henderson, S -- Hoover, J -- Jennings, D -- Jordan, C -- Jordan, J -- Kasha, J -- Kagan, L -- Kraft, C -- Levitsky, A -- Lewis, M -- Liu, X -- Lopez, J -- Ma, D -- Majoros, W -- McDaniel, J -- Murphy, S -- Newman, M -- Nguyen, T -- Nguyen, N -- Nodell, M -- Pan, S -- Peck, J -- Peterson, M -- Rowe, W -- Sanders, R -- Scott, J -- Simpson, M -- Smith, T -- Sprague, A -- Stockwell, T -- Turner, R -- Venter, E -- Wang, M -- Wen, M -- Wu, D -- Wu, M -- Xia, A -- Zandieh, A -- Zhu, X -- New York, N.Y. -- Science. 2001 Feb 16;291(5507):1304-51.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA. humangenome@celera.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11181995" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Chromosome Banding ; Chromosome Mapping ; Chromosomes, Artificial, Bacterial ; Computational Biology ; Consensus Sequence ; CpG Islands ; DNA, Intergenic ; Databases, Factual ; Evolution, Molecular ; Exons ; Female ; Gene Duplication ; Genes ; Genetic Variation ; *Genome, Human ; *Human Genome Project ; Humans ; Introns ; Male ; Phenotype ; Physical Chromosome Mapping ; Polymorphism, Single Nucleotide ; Proteins/genetics/physiology ; Pseudogenes ; Repetitive Sequences, Nucleic Acid ; Retroelements ; *Sequence Analysis, DNA/methods ; Species Specificity
    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: 2011-03-29
    Description: Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088773/" 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/PMC3088773/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ernst, Jason -- Kheradpour, Pouya -- Mikkelsen, Tarjei S -- Shoresh, Noam -- Ward, Lucas D -- Epstein, Charles B -- Zhang, Xiaolan -- Wang, Li -- Issner, Robbyn -- Coyne, Michael -- Ku, Manching -- Durham, Timothy -- Kellis, Manolis -- Bernstein, Bradley E -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG004570-01/HG/NHGRI NIH HHS/ -- U54 HG004570-02/HG/NHGRI NIH HHS/ -- U54 HG004570-02S1/HG/NHGRI NIH HHS/ -- U54 HG004570-03/HG/NHGRI NIH HHS/ -- U54 HG004570-03S1/HG/NHGRI NIH HHS/ -- U54 HG004570-04/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 May 5;473(7345):43-9. doi: 10.1038/nature09906. Epub 2011 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21441907" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Line ; Cell Line, Tumor ; *Cell Physiological Phenomena ; Cells, Cultured ; Chromatin/*genetics/*metabolism ; *Chromosome Mapping ; Gene Expression Regulation ; Genome, Human/genetics ; Hep G2 Cells ; Humans ; Promoter Regions, Genetic/genetics ; Reproducibility of Results ; Transcription Factors/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2017-12-06
    Description: Author Correction: Identification of functional tetramolecular RNA G-quadruplexes derived from transfer RNAs Author Correction: Identification of functional tetramolecular RNA G-quadruplexes derived from transfer RNAs, Published online: 05 December 2017; doi:10.1038/s41467-017-02140-9 Author Correction: Identification of functional tetramolecular RNA G-quadruplexes derived from transfer RNAs
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 4
    Publication Date: 2017-10-25
    Description: Identification of functional tetramolecular RNA G-quadruplexes derived from transfer RNAs Nature Communications, Published online: 24 October 2017; doi:10.1038/s41467-017-01278-w RNA G-quadruplexes (RG4) occur in vivo and have regulatory roles in mRNA metabolism. Here the authors show that the guanine residue stretches at the 5’ end of tRNA-derived stress-induced RNAs mediate the formation of tetramolecular RG4 structures, which play a role in the post-transcriptional regulation of gene expression.
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of the American Water Resources Association 33 (1997), S. 0 
    ISSN: 1752-1688
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: : Agricultural practices such as cattle grazing and animal manure application can contribute to relatively high runoff concentrations of fecal coliform (FC) and fecal streptococcus (FS). Available information, however, is inconsistent with respect to the effects of such practices as well as to measures that can discriminate among candidate sources of FC and FS. The objective of this study was to assess the effects of grazing, time of year, and runoff amounts on FC and FS concentrations and to evaluate whether FCIFS concentration ratios are consistent with earlier values reported as characteristic of animal sources. Runoff from four Northwest Arkansas fields was sampled and analyzed for fecal coliform (FC) and fecal streptococcus (FS) for nearly three years (1991–1994). Each field was grazed and fertilized, with two fields receiving inorganic fertilizer and two receiving animal manure. Runoff amount had no effect on runoff concentrations of FC or FS. There were no consistent relationships between the presence of cattle and FC and FS runoff concentrations. Both FC and FS concentrations were affected by the season during which the runoff occurred. Higher concentrations were observed during warmer months. Runoff FC concentrations exceeded the primary contact standard of 200 cfu/100 mL during at least 89 percent of all runoff events and the secondary contact standard of 1000 cfu/100 mL during at least 70 percent of the events. Ratios of FC to FS concentrations varied widely (from near zero to more than 100), confirming earlier findings that FC/FS ratios are not a reliable indicator of the source of FC and FS.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Journal of intelligent information systems 4 (1995), S. 281-304 
    ISSN: 1573-7675
    Keywords: relational database ; mass assignments ; fuzzy sets ; uncertainty
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper describes a database framework which is similar to a relational database in style but uses alternative knowledge structures to represent uncertain data. Two knowledge structures are used, the mass assignment to represent probabilistic information and fuzzy sets to hold subjective information. We describe how the query is modified such that the selection criteria is held in the form of specific knowledge which can be updated with the more general knowledge held in the database. The updating procedure has the effect of filling in uncertain or missing information such that a final solution can be found. The operations required to perform a query are generated automatically, optimisation is performed as the operations are determined. The output from the database is in the form of a distribution over a projection of the database domain space. An example is given where a database of sea vessels can be given uncertain or noisy evidence about the characteristics of a vessel and a distribution of the likelihood of each of the vessels can be determined from the evidence.
    Type of Medium: Electronic Resource
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  • 7
    Publication Date: 2007-02-06
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 8
  • 9
    Publication Date: 2003-08-12
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 10
    Publication Date: 2008-08-22
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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