专题:Identification and Quantification in Food

This cluster of papers focuses on the use of DNA barcoding and PCR-based methods for authenticating food products, detecting fraud, and identifying species in fish and meat. It addresses issues such as market substitution, mislabeling, and adulteration, with a specific emphasis on traceability and species identification in the food industry.
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BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA

article Full Text OpenAlex 553 FWCI0

Sanger Tree of Life RNA Extraction: Automated MagMax™ mirVana v1

preprint Full Text OpenAlex 434 FWCI63.0901

Deep learning in food category recognition

article Full Text OpenAlex 347 FWCI35.2054

DNA barcoding, an effective tool for species identification: a review

review Full Text OpenAlex 310 FWCI22.4357

Recent advances in recombinase polymerase amplification: Principle, advantages, disadvantages and applications

review Full Text OpenAlex 300 FWCI20.3519

Meta‐analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment

review Full Text OpenAlex 242 FWCI35.5819

Screening of specific quantitative peptides of beef by LC–MS/MS coupled with OPLS-DA

article Full Text OpenAlex 232 FWCI19.9236

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

review Full Text OpenAlex 199 FWCI13.5671

Grey wolf genomic history reveals a dual ancestry of dogs

article Full Text OpenAlex 189 FWCI30.0246

The Application of Artificial Intelligence and Big Data in the Food Industry

article Full Text OpenAlex 189 FWCI34.7652