Results 261 to 270 of about 1,387,202 (292)

Redundancy analysis: A Swiss Army Knife for landscape genomics

Methods in Ecology and Evolution, 2021
International audienceAbstract Landscape genomics identifies how spatial and environmental factors structure the amount and distribution of genetic variation among populations.
Thibaut Capblancq, Brenna R. Forester
exaly   +2 more sources

Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations

Population Genomics, 2017
Landscape genomics is a rapidly advancing research field that combines population genomics, landscape ecology, and spatial analytical techniques to explicitly quantify the effects of environmental heterogeneity on neutral and adaptive genetic variation ...
Stéphane Joost, Rachael Y. Dudaniec
exaly   +2 more sources

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Sampling in Landscape Genomics

Methods in Molecular Biology, 2012
Landscape genomics, based on the sampling of individuals genotyped for a large number of markers, may lead to the identification of regions of the genome correlated to selection pressures caused by the environment. In this chapter, we discuss sampling strategies to be used in a landscape genomics approach.
Stéphanie Manel, Cécile H. Albert, Nigel G. Yoccoz   +2 more
exaly   +4 more sources

Landscape and ecological genomics

Russian Journal of Genetics, 2013
Landscape genomics is the modern version of landscape genetics, a discipline that arose approximately 10 years ago as a combination of population genetics, landscape ecology, and spatial statistics. It studies the effects of environmental variables on gene flow and other microevolutionary processes that determine genetic connectivity and variations in ...
exaly   +3 more sources

Genomic landscape of hepatocarcinogenesis

Journal of Human Genetics, 2021
Hepatocellular carcinoma (HCC) is a global health issue and the fourth leading cause of cancer deaths worldwide. Large-scale HCC genome sequencing analyses have identified core drivers (TERT, TP53, and CTNNB1/AXIN1) as initial molecular events, and other low-frequent drivers that include therapeutically targetable ones.
openaire   +2 more sources

Genomic Landscape of Meningiomas

2023
Despite being the most common primary brain tumor in adults, until recently, the genomics of meningiomas have remained quite understudied. In this chapter we will discuss the early cytogenetic and mutational changes uncovered in meningiomas, from the discovery of the loss of chromosome 22q and the neurofibromatosis-2 (NF2) gene to other non-NF2 driver ...
Justin Z, Wang, Farshad, Nassiri, Christian, Mawrin, Gelareh, Zadeh   +3 more
openaire   +2 more sources

The genomic landscape of schwannoma

Nature Genetics, 2016
Schwannomas are common peripheral nerve sheath tumors that can cause debilitating morbidities. We performed an integrative analysis to determine genomic aberrations common to sporadic schwannomas. Exome sequence analysis with validation by targeted DNA sequencing of 125 samples uncovered, in addition to expected NF2 disruption, recurrent mutations in ...
Sameer Agnihotri, Shahrzad Jalali, Mark R Wilson, Arnavaz Danesh, Mira Li, George Klironomos, Jonathan R Krieger, Alireza Mansouri, Osaama Khan, Yasin Mamatjan, Natalie Landon-Brace, Takyee Tung, Mark Dowar, Tiantian Li, Jeffrey P Bruce, Kelly E Burrell, Peter D Tonge, Amir Alamsahebpour, Boris Krischek, Pankaj Kumar Agarwalla, Wenya Linda Bi, Ian F Dunn, Rameen Beroukhim, Michael G Fehlings, Vera Bril, Stefano M Pagnotta, Antonio Iavarone, Trevor J Pugh, Kenneth D Aldape, Gelareh Zadeh   +29 more
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Genomic landscape of colorectal carcinogenesis

Journal of Cancer Research and Clinical Oncology, 2022
The molecular pathogenesis of solid tumour was first assessed in colorectal cancer (CRC). To date, ≤ 100 genes with somatic alterations have been found to inter-connectively promote neoplastic transformation through specific pathways. The process of colorectal carcinogenesis via genome landscape is reviewed on the basis of an adenoma-to-carcinoma ...
Jin Cheon Kim, Walter F. Bodmer
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INTEGRATING LANDSCAPE GENOMICS AND SPATIALLY EXPLICIT APPROACHES TO DETECT LOCI UNDER SELECTION IN CLINAL POPULATIONS [PDF]

Evolution; International Journal of Organic Evolution, 2013
Uncovering the genetic basis of adaptation hinges on the ability to detect loci under selection. However, population genomics outlier approaches to detect selected loci may be inappropriate for clinal populations or those with unclear population ...
Daniel N Anstett, Stéphanie Manel, Ashley I Teufel   +2 more
exaly   +3 more sources

The Transcriptional Landscape of the Mammalian Genome

Science, 2005
This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5′ and 3′ boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and ...
The FANTOM Consortium, P Carninci, T Kasukawa, S Katayama, J Gough, M C Frith, N Maeda, R Oyama, T Ravasi, B Lenhard, C Wells, R Kodzius, K Shimokawa, V B Bajic, S E Brenner, S Batalov, A R R Forrest, M Zavolan, M J Davis, L G Wilming, V Aidinis, J E Allen, A AmbesiImpiombato, R Apweiler, R N Aturaliya, T L Bailey, M Bansal, L Baxter, K W Beisel, T Bersano, H Bono, A M Chalk, K P Chiu, V Choudhary, A Christoffels, D R Clutterbuck, M L Crowe, E Dalla, B P Dalrymple, B de Bono, G Della Gatta, D di Bernardo, T Down, P Engstrom, M Fagiolini, G Faulkner, C F Fletcher, T Fukushima, M Furuno, S Futaki, M Gariboldi, P GeorgiiHemming, T R Gingeras, T Gojobori, R E Green, S Gustincich, M Harbers, Y Hayashi, T K Hensch, N Hirokawa, D Hill, L Huminiecki, M Iacono, K Ikeo, A Iwama, T Ishikawa, M Jakt, A Kanapin, M Katoh, Y Kawasawa, J Kelso, H Kitamura, H Kitano, G Kollias, S P T Krishnan, A Kruger, S K Kummerfeld, I V Kurochkin, L F Lareau, D Lazarevic, L Lipovich, J Liu, S Liuni, S McWilliam, M Madan Babu, M Madera, L Marchionni, H Matsuda, S Matsuzawa, H Miki, F Mignone, S Miyake, K Morris, S MottaguiTabar, N Mulder, N Nakano, H Nakauchi, P Ng, R Nilsson, S Nishiguchi, S Nishikawa, F Nori, O Ohara, Y Okazaki, V Orlando, K C Pang, W J Pavan, G Pavesi, G Pesole, N Petrovsky, S Piazza, J Reed, J F Reid, B Z Ring, M Ringwald, B Rost, Y Ruan, S L Salzberg, A Sandelin, C Schneider, C Schönbach, K Sekiguchi, C A M Semple, S Seno, L Sessa, Y Sheng, Y Shibata, H Shimada, K Shimada, D Silva, B Sinclair, S Sperling, E Stupka, K Sugiura, R Sultana, Y Takenaka, K Taki, K Tammoja, S L Tan, S Tang, M S Taylor, J Tegner, S A Teichmann, H R Ueda, E van Nimwegen, R Verardo, C L Wei, K Yagi, H Yamanishi, E Zabarovsky, S Zhu, A Zimmer, W Hide, C Bult, S M Grimmond, R D Teasdale, E T Liu, V Brusic, J Quackenbush, C Wahlestedt, J S Mattick, D A Hume, RIKEN Genome Exploration Research Group, Genome Science Group Genome Network Project Core Group, C Kai, D Sasaki, Y Tomaru, S Fukuda, M KanamoriKatayama, M Suzuki, J Aoki, T Arakawa, J Iida, K Imamura, M Itoh, T Kato, H Kawaji, N Kawagashira, T Kawashima, M Kojima, S Kondo, H Konno, K Nakano, N Ninomiya, T Nishio, M Okada, C Plessy, K Shibata, T Shiraki, S Suzuki, M Tagami, K Waki, A Watahiki, Y OkamuraOho, H Suzuki, J Kawai, Y Hayashizaki   +196 more
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