Yansen Chen(陈焱森)
@YansenChen1
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Animal genetic and breeding, a postdoc at the University of Liege
Joined June 2020
Sincere congratulations to Professor Nicolas Gengler on this remarkable achievement—the JDS 100 Club Award! Proud to be one of your students.
Recognitions @ADSAorg Dr. Michael Steele (right) and Dr. David Renaud (middle) were inducted into @jdairyscience Club 100 with > 100 papers in the journal. There are more JDS Club 100 members from U of G than any other university.
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RT @kjaganatha: We're thrilled to introduce PromoterAI — a tool for accurately identifying promoter variants that impact gene expression. 🧵….
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RT @NatureRevGenet: New online! Predicting gene expression from DNA sequence using deep learning models https://t.c….
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Thrilled to begin my 20-day Short-Term Scientific Mission (STSM) at SRUC, supported by the COST Action European Network on Livestock Phenomics (EU-LI-PHE). Grateful for this great opportunity to explore livestock phenomics, and excited to exchange ideas!
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RT @plantgenome: New R package assists breeders in deciding which crosses to make in each selection cycle to increase genetic gain over sev….
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If your trait is affected by a few major genomic regions, wSSGBLUP is a powerful way to improve the accuracy of genomic predictions.
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Weighed ssGBLUP enhances the genomic prediction accuracy for milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation - JDS Communications
jdscommun.org
Genomic prediction (GP) is widely used in animal breeding. The methods used for GP in genomic evaluation are currently divided into 2 main classes: Bayesian (Meuwissen et al., 2001) and BLUP (inclu...
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RT @nicogengler: #eaap continuing and nearly finished with another excellent and clear presentation by @YansenChen1 @AgroBioTech @Universit….
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I'm very excited to share our latest work and I'd like to thank all of my co-authors for their help. Exploring MegaLMM for the genetic analysis of thousands of MIR-trait for animal breeding.
journalofdairyscience.org
With the rapid development of animal phenomics and deep phenotyping, we can obtain thousands of traditional (but also molecular) phenotypes per individual. However, there is still a lack of explora...
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RT @RXiang5: The Computational Biology group at Agribio in beautiful Melbourne hosts several ARC Ph.D scholarships (via La Trobe University….
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RT @CGDG_Roslin: 📢 Join us for the next #CGDG seminar on 16/04 at 3 PM UK time. 🧬Prof Hinayah Rojas (Purdue) will be talking with us about….
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RT @EU_LI_PHE: 📢 Save the Date! EU-LI-PHE is organizing a training school on Phenotyping Technologies from June 18-21 in Belgium 🇧🇪. Mark y….
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RT @GabKrouk: 1/2 Here it is! Validated by our peers in @GenomeBiology. The first full epistatic maps to date with a gene resolution. pape….
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Please read our new work - Genetic analysis of milk citrate predicted by milk mid-infrared spectra of Holstein cows in early lactation - Journal of Dairy Science
journalofdairyscience.org
Milk citrate is regarded as an early biomarker of negative energy balance in dairy cows during early lactation and serves as a suitable candidate phenotype for genomic selection due to its wide...
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RT @ScienceMagazine: Over the last 10 years, the #CRISPR toolbox and its applications have profoundly changed biological research, enabling….
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RT @RodericGuigo: The latest paper from the group out in Genome Biology. Testing for genetic association with multiple traits simultaneousl….
genomebiology.biomedcentral.com
The increasing availability of multidimensional phenotypic data in large cohorts of genotyped individuals requires efficient methods to identify genetic effects on multiple traits. Permutational...
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