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  • 1
    Publication Date: 2010-05-08
    Description: Neandertals, the closest evolutionary relatives of present-day humans, lived in large parts of Europe and western Asia before disappearing 30,000 years ago. We present a draft sequence of the Neandertal genome composed of more than 4 billion nucleotides from three individuals. Comparisons of the Neandertal genome to the genomes of five present-day humans from different parts of the world identify a number of genomic regions that may have been affected by positive selection in ancestral modern humans, including genes involved in metabolism and in cognitive and skeletal development. We show that Neandertals shared more genetic variants with present-day humans in Eurasia than with present-day humans in sub-Saharan Africa, suggesting that gene flow from Neandertals into the ancestors of non-Africans occurred before the divergence of Eurasian groups from each other.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Green, Richard E -- Krause, Johannes -- Briggs, Adrian W -- Maricic, Tomislav -- Stenzel, Udo -- Kircher, Martin -- Patterson, Nick -- Li, Heng -- Zhai, Weiwei -- Fritz, Markus Hsi-Yang -- Hansen, Nancy F -- Durand, Eric Y -- Malaspinas, Anna-Sapfo -- Jensen, Jeffrey D -- Marques-Bonet, Tomas -- Alkan, Can -- Prufer, Kay -- Meyer, Matthias -- Burbano, Hernan A -- Good, Jeffrey M -- Schultz, Rigo -- Aximu-Petri, Ayinuer -- Butthof, Anne -- Hober, Barbara -- Hoffner, Barbara -- Siegemund, Madlen -- Weihmann, Antje -- Nusbaum, Chad -- Lander, Eric S -- Russ, Carsten -- Novod, Nathaniel -- Affourtit, Jason -- Egholm, Michael -- Verna, Christine -- Rudan, Pavao -- Brajkovic, Dejana -- Kucan, Zeljko -- Gusic, Ivan -- Doronichev, Vladimir B -- Golovanova, Liubov V -- Lalueza-Fox, Carles -- de la Rasilla, Marco -- Fortea, Javier -- Rosas, Antonio -- Schmitz, Ralf W -- Johnson, Philip L F -- Eichler, Evan E -- Falush, Daniel -- Birney, Ewan -- Mullikin, James C -- Slatkin, Montgomery -- Nielsen, Rasmus -- Kelso, Janet -- Lachmann, Michael -- Reich, David -- Paabo, Svante -- GM40282/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 May 7;328(5979):710-22. doi: 10.1126/science.1188021.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany. green@eva.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20448178" target="_blank"〉PubMed〈/a〉
    Keywords: African Continental Ancestry Group/genetics ; Animals ; Asian Continental Ancestry Group/genetics ; Base Sequence ; Bone and Bones ; DNA, Mitochondrial/genetics ; European Continental Ancestry Group/genetics ; Evolution, Molecular ; Extinction, Biological ; Female ; *Fossils ; Gene Dosage ; Gene Flow ; Genetic Variation ; *Genome ; *Genome, Human ; Haplotypes ; Hominidae/*genetics ; Humans ; Pan troglodytes/genetics ; Polymorphism, Single Nucleotide ; Selection, Genetic ; Sequence Alignment ; *Sequence Analysis, DNA ; Time
    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: 2012-09-01
    Description: We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30x) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617501/" 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/PMC3617501/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Meyer, Matthias -- Kircher, Martin -- Gansauge, Marie-Theres -- Li, Heng -- Racimo, Fernando -- Mallick, Swapan -- Schraiber, Joshua G -- Jay, Flora -- Prufer, Kay -- de Filippo, Cesare -- Sudmant, Peter H -- Alkan, Can -- Fu, Qiaomei -- Do, Ron -- Rohland, Nadin -- Tandon, Arti -- Siebauer, Michael -- Green, Richard E -- Bryc, Katarzyna -- Briggs, Adrian W -- Stenzel, Udo -- Dabney, Jesse -- Shendure, Jay -- Kitzman, Jacob -- Hammer, Michael F -- Shunkov, Michael V -- Derevianko, Anatoli P -- Patterson, Nick -- Andres, Aida M -- Eichler, Evan E -- Slatkin, Montgomery -- Reich, David -- Kelso, Janet -- Paabo, Svante -- GM100233/GM/NIGMS NIH HHS/ -- R01 GM040282/GM/NIGMS NIH HHS/ -- R01 GM100233/GM/NIGMS NIH HHS/ -- R01-GM40282/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2012 Oct 12;338(6104):222-6. doi: 10.1126/science.1224344. Epub 2012 Aug 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany. mmeyer@eva.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22936568" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Base Sequence ; Fossils ; Gene Flow ; Gene Library ; *Genetic Variation ; Genome, Human/*genetics ; *Heterozygote ; Humans ; Molecular Sequence Data ; Neanderthals/*genetics ; 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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  • 3
    Publication Date: 2009-07-18
    Description: Analysis of Neandertal DNA holds great potential for investigating the population history of this group of hominins, but progress has been limited due to the rarity of samples and damaged state of the DNA. We present a method of targeted ancient DNA sequence retrieval that greatly reduces sample destruction and sequencing demands and use this method to reconstruct the complete mitochondrial DNA (mtDNA) genomes of five Neandertals from across their geographic range. We find that mtDNA genetic diversity in Neandertals that lived 38,000 to 70,000 years ago was approximately one-third of that in contemporary modern humans. Together with analyses of mtDNA protein evolution, these data suggest that the long-term effective population size of Neandertals was smaller than that of modern humans and extant great apes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Briggs, Adrian W -- Good, Jeffrey M -- Green, Richard E -- Krause, Johannes -- Maricic, Tomislav -- Stenzel, Udo -- Lalueza-Fox, Carles -- Rudan, Pavao -- Brajkovic, Dejana -- Kucan, Zeljko -- Gusic, Ivan -- Schmitz, Ralf -- Doronichev, Vladimir B -- Golovanova, Liubov V -- de la Rasilla, Marco -- Fortea, Javier -- Rosas, Antonio -- Paabo, Svante -- New York, N.Y. -- Science. 2009 Jul 17;325(5938):318-21. doi: 10.1126/science.1174462.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max-Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany. briggs@eva.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19608918" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bayes Theorem ; DNA Primers ; DNA, Mitochondrial/analysis/*genetics/isolation & purification ; Evolution, Molecular ; Female ; *Fossils ; Gene Library ; Genetic Variation ; Genome, Human ; *Genome, Mitochondrial ; Geography ; Hominidae/*genetics ; Humans ; Male ; Molecular Sequence Data ; Phylogeny ; Population Density ; *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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  • 4
    Publication Date: 2010-12-24
    Description: Using DNA extracted from a finger bone found in Denisova Cave in southern Siberia, we have sequenced the genome of an archaic hominin to about 1.9-fold coverage. This individual is from a group that shares a common origin with Neanderthals. This population was not involved in the putative gene flow from Neanderthals into Eurasians; however, the data suggest that it contributed 4-6% of its genetic material to the genomes of present-day Melanesians. We designate this hominin population 'Denisovans' and suggest that it may have been widespread in Asia during the Late Pleistocene epoch. A tooth found in Denisova Cave carries a mitochondrial genome highly similar to that of the finger bone. This tooth shares no derived morphological features with Neanderthals or modern humans, further indicating that Denisovans have an evolutionary history distinct from Neanderthals and modern humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306417/" 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/PMC4306417/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reich, David -- Green, Richard E -- Kircher, Martin -- Krause, Johannes -- Patterson, Nick -- Durand, Eric Y -- Viola, Bence -- Briggs, Adrian W -- Stenzel, Udo -- Johnson, Philip L F -- Maricic, Tomislav -- Good, Jeffrey M -- Marques-Bonet, Tomas -- Alkan, Can -- Fu, Qiaomei -- Mallick, Swapan -- Li, Heng -- Meyer, Matthias -- Eichler, Evan E -- Stoneking, Mark -- Richards, Michael -- Talamo, Sahra -- Shunkov, Michael V -- Derevianko, Anatoli P -- Hublin, Jean-Jacques -- Kelso, Janet -- Slatkin, Montgomery -- Paabo, Svante -- R01 GM040282/GM/NIGMS NIH HHS/ -- R01-GM40282/GM/NIGMS NIH HHS/ -- England -- Nature. 2010 Dec 23;468(7327):1053-60. doi: 10.1038/nature09710.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. reich@genetics.med.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21179161" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Asia ; DNA, Mitochondrial/genetics ; Europe ; Finger Phalanges/chemistry ; *Fossils ; *Gene Flow ; Genome/*genetics ; Hominidae/*classification/*genetics ; Humans ; Melanesia ; Molecular Sequence Data ; Phylogeny ; Siberia ; Tooth/anatomy & histology/chemistry
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2007-08-21
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2013-01-22
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 7
  • 8
    Publication Date: 2013-02-06
    Description: Hominins with morphology similar to present-day humans appear in the fossil record across Eurasia between 40,000 and 50,000 y ago. The genetic relationships between these early modern humans and present-day human populations have not been established. We have extracted DNA from a 40,000-y-old anatomically modern human from Tianyuan Cave outside...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 9
    Publication Date: 2014-10-10
    Description: The sequencing of libraries containing molecules shorter than the read length, such as in ancient or forensic applications, may result in the production of reads that include the adaptor, and in paired reads that overlap one another. Challenges for the processing of such reads are the accurate identification of the adaptor sequence and accurate reconstruction of the original sequence most likely to have given rise to the observed read(s). We introduce an algorithm that removes the adaptors and reconstructs the original DNA sequences using a Bayesian maximum a posteriori probability approach. Our algorithm is faster, and provides a more accurate reconstruction of the original sequence for both simulated and ancient DNA data sets, than other approaches. leeHom is released under the GPLv3 and is freely available from: https://bioinf.eva.mpg.de/leehom/
    Keywords: Massively Parallel (Deep) Sequencing
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 10
    Publication Date: 2013-04-25
    Description: Motivation: The conversion of the raw intensities obtained from next-generation sequencing platforms into nucleotide sequences with well-calibrated quality scores is a critical step in the generation of good sequence data. While recent model-based approaches can yield highly accurate calls, they require a substantial amount of processing time and/or computational resources. We previously introduced Ibis, a fast and accurate basecaller for the Illumina platform. We have continued active development of Ibis to take into account developments in the Illumina technology, as well as to make Ibis fully open source. Results: We introduce here freeIbis, which offers significant improvements in sequence accuracy owing to the use of a novel multiclass support vector machine (SVM) algorithm. Sequence quality scores are now calibrated based on empirically observed scores, thus providing a high correlation to their respective error rates. These improvements result in downstream advantages including improved genotyping accuracy. Availability and implementation: FreeIbis is freely available for use under the GPL ( http://bioinf.eva.mpg.de/freeibis/ ). It requires a Python interpreter and a C++ compiler. Tailored versions of LIBOCAS and LIBLINEAR are distributed along with the package. Contact: kelso@eva.mpg.de 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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