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2,855,389+ results for "Genomics" from openalex (0.55s)

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Anaphase-promoting complex-dependent proteolysis of cell cycle regulators and genomic instability of cancer cells

Ralph Wäsch, Dirk Engelbert

View Record Cited by 136

Bypassing genomic imprinting allows seed development

Moritz K. Nowack, Reza Shirzadi, Nico Dißmeyer

Free PDF View Record Cited by 113

Distinguishing Among Modes of Convergent Adaptation Using Population Genomic Data

Kristin M. Lee, Graham Coop

Free PDF View Record Cited by 148

Genomic selection across multiple breeding cycles in applied bread wheat breeding

Sebastian Michel, Christian Ametz, Hüseyin GÜNGÖR et al.

Free PDF View Record Cited by 108

Evolution of Linked Avirulence Effectors in Leptosphaeria maculans Is Affected by Genomic Environment and Exposure to Resistance Genes in Host Plants

Angela P. Van de Wouw, Anton Cozijnsen, James K. Hane et al.

Free PDF View Record Cited by 173

Comparative proteome analysis of <i>Mycobacterium tuberculosis</i> and <i>Mycobacterium bovis</i> BCG strains: towards functional genomics of microbial pathogens

Peter R. Jungblut, Ulrich E. Schaible, Hans‐Joachim Mollenkopf et al.

View Record Cited by 326

Trafficking of viral genomic RNA into and out of the nucleus: influenza, Thogoto and Borna disease viruses

Jérôme Cros, Peter Palese

View Record Cited by 140

The interspecific genome structure of cultivated banana, Musa spp. revealed by genomic DNA in situ hybridization

Angélique D’Hont, A. Paget-Goy, Jacques Escoute

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Genomics of interaction between the brown planthopper and rice

Shengli Jing, Yan Zhao, Bo Du

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Human papillomaviruses and centrosome duplication errors: modeling the origins of genomic instability

Stefan Duensing, Karl Münger

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Ensuring best practice in genomics education and evaluation: reporting item standards for education and its evaluation in genomics (RISE2 Genomics)

Amy Nisselle, Monika Janinski, Melissa Martyn

Free PDF View Record Cited by 50

Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests

Matthew C. Fitzpatrick, Vikram E. Chhatre, Raju Soolanayakanahally et al.

View Record Cited by 137

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