#genomics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #genomics, aggregated by home.social.
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🧬 𝙔𝙤𝙪𝙧 𝘿𝙉𝘼 𝘿𝙤𝙚𝙨𝙣'𝙩 𝙏𝙚𝙡𝙡 𝙩𝙝𝙚 𝙒𝙝𝙤𝙡𝙚 𝙎𝙩𝙤𝙧𝙮 | আপনার 𝘿𝙉𝘼-ই শেষ কথা নয়! 🦠
Delighted to share my latest article published in বিজ্ঞান (Bigyan): "জিন থেকে জীবাণু: একটি রোগ, অনেক দৃষ্টিকোণ" (From Genes to Germs: One Disease, Many Perspectives)
🔗 Read here: https://bigyan.org.in/author/dr-debprasad-dutta/
Published in @bigyan 🔬
#Genomics #MultiOmics #Neuroscience #ScienceCommunication #BengaliScience #Bigyan
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Researchers have identified 19 specific genetic mutations in the Respiratory Syncytial Virus (RSV) that trigger significantly faster viral replication and lead to more severe illness in pediatric patients.
#Virology #Genomics #PediatricInfectiousDiseases #Immunology #sflorg
https://www.sflorg.com/2026/05/vi05262601.html -
🚀 Oh joy, another Rust-based #genomics tool claiming to run whole-genome #pipelines on your grandma's old laptop without breaking a sweat. 👵🖥️ Next, they'll say it can decode DNA while making you a cup of coffee. ☕🔬
https://github.com/logannye/rosalind #Rust #WholeGenome #TechInnovation #CoffeeBreak #HackerNews #ngated -
🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?
🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0100
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#Microbiology #MolecularBiology #Bioinformatics #AntimicrobialResistance #DrugDiscovery #ProteinEngineering #StructuralBiology #Genomics #ComputationalBiology
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🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?
🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0100
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#Microbiology #MolecularBiology #Bioinformatics #AntimicrobialResistance #DrugDiscovery #ProteinEngineering #StructuralBiology #Genomics #ComputationalBiology
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🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?
🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0100
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#Microbiology #MolecularBiology #Bioinformatics #AntimicrobialResistance #DrugDiscovery #ProteinEngineering #StructuralBiology #Genomics #ComputationalBiology
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🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?
🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0100
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#Microbiology #MolecularBiology #Bioinformatics #AntimicrobialResistance #DrugDiscovery #ProteinEngineering #StructuralBiology #Genomics #ComputationalBiology
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🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?
🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0100
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#Microbiology #MolecularBiology #Bioinformatics #AntimicrobialResistance #DrugDiscovery #ProteinEngineering #StructuralBiology #Genomics #ComputationalBiology
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A new *Science* paper shows the potato isn’t just a side dish—it reshaped our genes.
- DNA from ancient & modern Andeans reveals selection for variants that boost carbohydrate metabolism and disease resistance.
- The shift began ~7,000 years ago when potatoes became a staple.Our diets can rewrite evolution. #Anthropology #Genomics #FoodHistory #Andes #DecentralizedScience
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A new *Science* paper shows the potato isn’t just a side dish—it reshaped our genes.
- DNA from ancient & modern Andeans reveals selection for variants that boost carbohydrate metabolism and disease resistance.
- The shift began ~7,000 years ago when potatoes became a staple.Our diets can rewrite evolution. #Anthropology #Genomics #FoodHistory #Andes #DecentralizedScience
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A new *Science* paper shows the potato isn’t just a side dish—it reshaped our genes.
- DNA from ancient & modern Andeans reveals selection for variants that boost carbohydrate metabolism and disease resistance.
- The shift began ~7,000 years ago when potatoes became a staple.Our diets can rewrite evolution. #Anthropology #Genomics #FoodHistory #Andes #DecentralizedScience
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A new *Science* paper shows the potato isn’t just a side dish—it reshaped our genes.
- DNA from ancient & modern Andeans reveals selection for variants that boost carbohydrate metabolism and disease resistance.
- The shift began ~7,000 years ago when potatoes became a staple.Our diets can rewrite evolution. #Anthropology #Genomics #FoodHistory #Andes #DecentralizedScience
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A new *Science* paper shows the potato isn’t just a side dish—it reshaped our genes.
- DNA from ancient & modern Andeans reveals selection for variants that boost carbohydrate metabolism and disease resistance.
- The shift began ~7,000 years ago when potatoes became a staple.Our diets can rewrite evolution. #Anthropology #Genomics #FoodHistory #Andes #DecentralizedScience
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📰 "A screen for adherens junction proteins regulating collective cell migration and testis morphogenesis reveals important roles for the Rab GAP RN-tre and the kinase Par-1"
https://www.biorxiv.org/content/10.64898/2026.05.22.727264v1?rss=1
#AdherensJunction
#Drosophila #Genomics -
Pipeline release! nf-core/pairgenomealign v2.2.3 - nf-core/pairgenomealign v2.2.3 – Reitou mikan!
Pairwise genome comparison pipeline using the LAST software to align a list of query genomes to a target genome, and plot the results
Please see the changelog: https://github.com/nf-core/pairgenomealign/releases/tag/2.2.3#comparativegenomics #dotplot #genomics #last #pairwisealignment #synteny #wholegenomealignment #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/pairgenomealign v2.2.3 - nf-core/pairgenomealign v2.2.3 – Reitou mikan!
Pairwise genome comparison pipeline using the LAST software to align a list of query genomes to a target genome, and plot the results
Please see the changelog: https://github.com/nf-core/pairgenomealign/releases/tag/2.2.3#comparativegenomics #dotplot #genomics #last #pairwisealignment #synteny #wholegenomealignment #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/pairgenomealign v2.2.3 - nf-core/pairgenomealign v2.2.3 – Reitou mikan!
Pairwise genome comparison pipeline using the LAST software to align a list of query genomes to a target genome, and plot the results
Please see the changelog: https://github.com/nf-core/pairgenomealign/releases/tag/2.2.3#comparativegenomics #dotplot #genomics #last #pairwisealignment #synteny #wholegenomealignment #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/pairgenomealign v2.2.3 - nf-core/pairgenomealign v2.2.3 – Reitou mikan!
Pairwise genome comparison pipeline using the LAST software to align a list of query genomes to a target genome, and plot the results
Please see the changelog: https://github.com/nf-core/pairgenomealign/releases/tag/2.2.3#comparativegenomics #dotplot #genomics #last #pairwisealignment #synteny #wholegenomealignment #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/pairgenomealign v2.2.3 - nf-core/pairgenomealign v2.2.3 – Reitou mikan!
Pairwise genome comparison pipeline using the LAST software to align a list of query genomes to a target genome, and plot the results
Please see the changelog: https://github.com/nf-core/pairgenomealign/releases/tag/2.2.3#comparativegenomics #dotplot #genomics #last #pairwisealignment #synteny #wholegenomealignment #nfcore #openscience #nextflow #bioinformatics
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Our paper (with Julie Cartier, Johanna Lagoas, Youmna Ayadi, Adeline Fermanian and @flomass) on the use of statistical knockoffs for the differential analysis of transcriptomics data just came out, very appropriately as it nicely illustrates my point:
https://academic.oup.com/bib/article/27/3/bbag148/8687371Using simulated outcomes on real transcriptomics data, we've shown that KOs (and in particular, the KOPI approach) do retrieve important variables with better power than classical approaches (Wilcoxon, Lasso), while controlling FDR.
However, all methods perform poorly when the relationship between gene expressions and outcome is nonlinear.
On real outcomes, the method is overly conservative (having no discoveries is a surefire way of controlling your number of false discoveries), and we had to turn the false discovery rate threshold to 50% to select any gene at all.
#machineLearning #genomics #featureSelection #biomarkerDiscovery #transcriptomics
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Our paper (with Julie Cartier, Johanna Lagoas, Youmna Ayadi, Adeline Fermanian and @flomass) on the use of statistical knockoffs for the differential analysis of transcriptomics data just came out, very appropriately as it nicely illustrates my point:
https://academic.oup.com/bib/article/27/3/bbag148/8687371Using simulated outcomes on real transcriptomics data, we've shown that KOs (and in particular, the KOPI approach) do retrieve important variables with better power than classical approaches (Wilcoxon, Lasso), while controlling FDR.
However, all methods perform poorly when the relationship between gene expressions and outcome is nonlinear.
On real outcomes, the method is overly conservative (having no discoveries is a surefire way of controlling your number of false discoveries), and we had to turn the false discovery rate threshold to 50% to select any gene at all.
#machineLearning #genomics #featureSelection #biomarkerDiscovery #transcriptomics
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Our paper (with Julie Cartier, Johanna Lagoas, Youmna Ayadi, Adeline Fermanian and @flomass) on the use of statistical knockoffs for the differential analysis of transcriptomics data just came out, very appropriately as it nicely illustrates my point:
https://academic.oup.com/bib/article/27/3/bbag148/8687371Using simulated outcomes on real transcriptomics data, we've shown that KOs (and in particular, the KOPI approach) do retrieve important variables with better power than classical approaches (Wilcoxon, Lasso), while controlling FDR.
However, all methods perform poorly when the relationship between gene expressions and outcome is nonlinear.
On real outcomes, the method is overly conservative (having no discoveries is a surefire way of controlling your number of false discoveries), and we had to turn the false discovery rate threshold to 50% to select any gene at all.
#machineLearning #genomics #featureSelection #biomarkerDiscovery #transcriptomics
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Our paper (with Julie Cartier, Johanna Lagoas, Youmna Ayadi, Adeline Fermanian and @flomass) on the use of statistical knockoffs for the differential analysis of transcriptomics data just came out, very appropriately as it nicely illustrates my point:
https://academic.oup.com/bib/article/27/3/bbag148/8687371Using simulated outcomes on real transcriptomics data, we've shown that KOs (and in particular, the KOPI approach) do retrieve important variables with better power than classical approaches (Wilcoxon, Lasso), while controlling FDR.
However, all methods perform poorly when the relationship between gene expressions and outcome is nonlinear.
On real outcomes, the method is overly conservative (having no discoveries is a surefire way of controlling your number of false discoveries), and we had to turn the false discovery rate threshold to 50% to select any gene at all.
#machineLearning #genomics #featureSelection #biomarkerDiscovery #transcriptomics
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Our paper (with Julie Cartier, Johanna Lagoas, Youmna Ayadi, Adeline Fermanian and @flomass) on the use of statistical knockoffs for the differential analysis of transcriptomics data just came out, very appropriately as it nicely illustrates my point:
https://academic.oup.com/bib/article/27/3/bbag148/8687371Using simulated outcomes on real transcriptomics data, we've shown that KOs (and in particular, the KOPI approach) do retrieve important variables with better power than classical approaches (Wilcoxon, Lasso), while controlling FDR.
However, all methods perform poorly when the relationship between gene expressions and outcome is nonlinear.
On real outcomes, the method is overly conservative (having no discoveries is a surefire way of controlling your number of false discoveries), and we had to turn the false discovery rate threshold to 50% to select any gene at all.
#machineLearning #genomics #featureSelection #biomarkerDiscovery #transcriptomics
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https://www.europesays.com/ie/495210/ How an AI system learned to write expert-level scientific code #ArtificialIntelligence #automation #Bioinformatics #Cell #Coronavirus #Covid19 #Éire #Epidemiology #Forecasting #genomics #IE #Ireland #labor #Language #Research #SingleCellGenomics #Software #Technology
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📰 "piRNA direct the chromatin reader to its genomic targets"
https://doi.org/doi:10.64898/2026.05.08.723782
https://pubmed.ncbi.nlm.nih.gov/42146450/
#Drosophila #Genomics -
📰 "An interaction between HP1 and the Chromosomal Passenger Complex Initiates Acentrosomal Spindle Assembly in Drosophila oocytes"
https://doi.org/doi:10.64898/2026.05.01.722309
https://pubmed.ncbi.nlm.nih.gov/42146417/
#Drosophila #Genomics -
🇯🇵 🧬 🇯🇵 🧬 🇯🇵 🧬
Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing
"We showcased potential clinical usages of JEWEL and examined the genetic legacy of Neanderthals and Denisovans in the Japanese and investigated their associations with various phenotypes, which constitutes the largest non-European analysis to date."
Xiaoxi Liu et al., Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10, eadi8419(2024). DOI: https://doi.org/10.1126/sciadv.adi8419.
#OpenAccess #OA #Research #Article #Science #Genetics #Genomics #Japan #Academia
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🇯🇵 🧬 🇯🇵 🧬 🇯🇵 🧬
Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing
"We showcased potential clinical usages of JEWEL and examined the genetic legacy of Neanderthals and Denisovans in the Japanese and investigated their associations with various phenotypes, which constitutes the largest non-European analysis to date."
Xiaoxi Liu et al., Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10, eadi8419(2024). DOI: https://doi.org/10.1126/sciadv.adi8419.
#OpenAccess #OA #Research #Article #Science #Genetics #Genomics #Japan #Academia
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🇯🇵 🧬 🇯🇵 🧬 🇯🇵 🧬
Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing
"We showcased potential clinical usages of JEWEL and examined the genetic legacy of Neanderthals and Denisovans in the Japanese and investigated their associations with various phenotypes, which constitutes the largest non-European analysis to date."
Xiaoxi Liu et al., Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Sci. Adv. 10, eadi8419(2024). DOI: https://doi.org/10.1126/sciadv.adi8419.
#OpenAccess #OA #Research #Article #Science #Genetics #Genomics #Japan #Academia
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Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒
Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.
Read more: https://doi.org/10.64898/2026.05.05.723051
#PlantSciences #Pigments #Fruits #Genomics #RNAseq
@PuckerLab -
Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒
Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.
Read more: https://doi.org/10.64898/2026.05.05.723051
#PlantSciences #Pigments #Fruits #Genomics #RNAseq
@PuckerLab -
Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒
Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.
Read more: https://doi.org/10.64898/2026.05.05.723051
#PlantSciences #Pigments #Fruits #Genomics #RNAseq
@PuckerLab -
Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒
Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.
Read more: https://doi.org/10.64898/2026.05.05.723051
#PlantSciences #Pigments #Fruits #Genomics #RNAseq
@PuckerLab -
Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒
Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.
Read more: https://doi.org/10.64898/2026.05.05.723051
#PlantSciences #Pigments #Fruits #Genomics #RNAseq
@PuckerLab -
A groundbreaking multiomics study revealing that biological aging and overall human biology are shaped by an intricate interaction between a person's genetic ancestry and their geographic environment.
#Genomics #MolecularBiology #Bioinformatics #Epidemiology #sflorg
https://www.sflorg.com/2026/05/geno05152601.html -
A groundbreaking multiomics study revealing that biological aging and overall human biology are shaped by an intricate interaction between a person's genetic ancestry and their geographic environment.
#Genomics #MolecularBiology #Bioinformatics #Epidemiology #sflorg
https://www.sflorg.com/2026/05/geno05152601.html -
A groundbreaking multiomics study revealing that biological aging and overall human biology are shaped by an intricate interaction between a person's genetic ancestry and their geographic environment.
#Genomics #MolecularBiology #Bioinformatics #Epidemiology #sflorg
https://www.sflorg.com/2026/05/geno05152601.html -
A groundbreaking multiomics study revealing that biological aging and overall human biology are shaped by an intricate interaction between a person's genetic ancestry and their geographic environment.
#Genomics #MolecularBiology #Bioinformatics #Epidemiology #sflorg
https://www.sflorg.com/2026/05/geno05152601.html -
A groundbreaking multiomics study revealing that biological aging and overall human biology are shaped by an intricate interaction between a person's genetic ancestry and their geographic environment.
#Genomics #MolecularBiology #Bioinformatics #Epidemiology #sflorg
https://www.sflorg.com/2026/05/geno05152601.html -
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
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🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
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🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
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🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
-
🧬🖥️ How do we keep #AI in #genomics safe?
A new paper coauthored by #RKI researchers explores risks such as data bias, quality issues, and #DualUse potential in #GenAI. It highlights how these risks emerge along the innovation pipeline and outlines strategies for safer, responsible use.
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New DNA evidence shows dingoes are almost 90% pure – and fall into eight distinct groups https://theconversation.com/new-dna-evidence-shows-dingoes-are-almost-90-pure-and-fall-into-eight-distinct-groups-282381 #biology #genomics #bioinformatics #science #STEM
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New DNA evidence shows dingoes are almost 90% pure – and fall into eight distinct groups https://theconversation.com/new-dna-evidence-shows-dingoes-are-almost-90-pure-and-fall-into-eight-distinct-groups-282381 #biology #genomics #bioinformatics #science #STEM
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New DNA evidence shows dingoes are almost 90% pure – and fall into eight distinct groups https://theconversation.com/new-dna-evidence-shows-dingoes-are-almost-90-pure-and-fall-into-eight-distinct-groups-282381 #biology #genomics #bioinformatics #science #STEM
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New DNA evidence shows dingoes are almost 90% pure – and fall into eight distinct groups https://theconversation.com/new-dna-evidence-shows-dingoes-are-almost-90-pure-and-fall-into-eight-distinct-groups-282381 #biology #genomics #bioinformatics #science #STEM
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New DNA evidence shows dingoes are almost 90% pure – and fall into eight distinct groups https://theconversation.com/new-dna-evidence-shows-dingoes-are-almost-90-pure-and-fall-into-eight-distinct-groups-282381 #biology #genomics #bioinformatics #science #STEM