5 citations
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November 2022 in “Genetics selection evolution” Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.
29 citations
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January 2010 in “Methods in Enzymology” The document concludes that careful design of genetic fate mapping experiments is crucial for accurate cell lineage tracing in mice.
1 citations
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October 2023 in “BMC Genomics” miRNAs in the Dlk1-Gtl2 region may improve lamb fur quality.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
38 citations
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October 2011 in “Analytical biochemistry” Hair proteins have weak spots in their α-helical segments.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, reducing blood chimerism.
27 citations
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April 2011 in “International journal of legal medicine” In situ DNA labeling in hair can help predict forensic DNA analysis success.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, avoiding blood chimerism.
November 2025 in “Analytical Chemistry” A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
November 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” A new method helps find proteins in hair to identify fetal growth issues.
1 citations
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March 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
5 citations
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July 2014 in “Molecular Biology Reports” August 2025 in “Skin Research and Technology” 51 citations
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December 2006 in “Mammalian Genome” 45 citations
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December 2004 in “Forensic Science International” Laser microdissection helps get DNA from single hair follicles for better forensic analysis.
13 citations
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October 2010 in “Pharmacogenomics” Researchers found that most genes affecting drug responses are not fully covered by commercial SNP chips, suggesting the need for more comprehensive tools to optimize drug selection based on genetics.
7 citations
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May 2021 in “EBioMedicine” Increased methylation of the Filip1l gene may contribute to aggressive skin cancer.
19 citations
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August 2022 in “Forensic Science International Genetics” The model accurately predicts age from saliva and buccal cells for forensic use.
1 citations
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January 2020 in “International Journal of Agriculture and Biology” Certain miRNAs are linked to Cashmere goat hair quality.
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June 2015 in “EMBO Reports” Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
September 2024 in “Journal of the American Academy of Dermatology” 17 citations
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August 2015 in “Journal of Animal Science” The MTR gene affects wool quality and production in Chinese Merino sheep.
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September 1986 in “Journal of the Forensic Science Society” Hair root sheaths can be used to accurately analyze genetic markers.
September 2022 in “Canadian journal of animal science” Certain gene variations are linked to the thickness of cashmere goat hair.
7 citations
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January 2021 in “Frontiers in genetics” Inherited color dilution in rabbits is linked to DNA methylation changes.
March 2011 in “Journal of Dermatology” The conclusion is that a certain test might help find cancer spread in lymph nodes for melanoma patients, but more research is needed due to false positives.
July 2022 in “Postepy biochemii” DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
April 2024 in “Pigment cell & melanoma research” Different types of resting melanocyte stem cells have unique characteristics and vary in their potential to become other cells.
19 citations
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May 2016 in “Biology Direct” A new method, iSiMPRe, effectively identifies key protein regions in cancer genes, highlighting potential drug targets.