OPTIMIZED USE OF LOW-DEPTH GENOTYPING-BY-SEQUENCING FOR GENOMIC PREDICTION AMONG MULTI-PARENTAL FAMILY POOLS AND SINGLE PLANTS IN PERENNIAL RYEGRASS (LOLIUM PERENNE L.)

Optimized Use of Low-Depth Genotyping-by-Sequencing for Genomic Prediction Among Multi-Parental Family Pools and Single Plants in Perennial Ryegrass (Lolium perenne L.)

Ryegrass single plants, Adjustable Pedal Mechanism bi-parental family pools, and multi-parental family pools are often genotyped, based on allele-frequencies using genotyping-by-sequencing (GBS) assays.GBS assays can be performed at low-coverage depth to reduce costs.However, reducing the coverage depth leads to a higher proportion of missing data,

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Validation of Risk Scores for Predicting Atrial Fibrillation Detected After Stroke Based on an Electronic Medical Record Algorithm: A Registry-Claims-Electronic Medical Record Linked Data Study

BackgroundPoststroke atrial fibrillation (AF) screening aids decisions regarding the optimal secondary prevention strategies in patients with acute ischemic stroke (AIS).We used an electronic medical record (EMR) algorithm to identify AF in a cohort of AIS patients, which were used to validate eight risk scores for predicting AF detected after stro

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A NOVEL STRAIN OF Aspergillus niger PRODUCING A COCKTAIL OF HYDROLYTIC DEPOLYMERISING ENZYMES FOR THE PRODUCTION OF SECOND GENERATION BIOFUELS

The screening and isolation of fungi producing a cocktail of hydrolytic enzymes was studied.Among the various isolates obtained from different soil samples, a strain NS-2 was selected.The phylogenetic analysis of this strain showed highest homology (99%) with Aspergillus niger.It was capable of producing cellulolytic, hemicellulolytic, amylolytic,

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