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221110 ||| eng |
| 020 |
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|a 9783036553573
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|a 9783036553580
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|a books978-3-0365-5357-3
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| 100 |
1 |
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|a Piórkowska, Katarzyna
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| 245 |
0 |
0 |
|a Pig Genomics and Genetics
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
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| 300 |
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|a 1 electronic resource (318 p.)
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| 653 |
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|a DNMT3B
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| 653 |
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|a IFN-β
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| 653 |
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|a NMR
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| 653 |
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|a protein
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| 653 |
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|a genetically modified pigs
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| 653 |
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|a pig
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| 653 |
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|a genome modifications
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| 653 |
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|a transcriptional regulation
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| 653 |
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|a TRIM26
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| 653 |
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|a RNA-Seq
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| 653 |
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|a CRISPR/Cas9 system
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| 653 |
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|a Duroc pigs
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| 653 |
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|a NGS
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| 653 |
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|a fat deposition
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| 653 |
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|a endometrium
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| 653 |
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|a swine
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| 653 |
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|a HMOX1 gene
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| 653 |
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|a weighted single-step GWAS
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| 653 |
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|a TIDE analysis
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| 653 |
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|a isoform
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| 653 |
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|a metabolic diseases
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| 653 |
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|a litter size
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| 653 |
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|a Biology, life sciences / bicssc
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| 653 |
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|a 3'quant mRNA-seq
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| 653 |
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|a metabolome
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| 653 |
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|a Duroc
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| 653 |
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|a nutrigenomics
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| 653 |
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|a lncRNA
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| 653 |
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|a disease models
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| 653 |
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|a transgenic pigs
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| 653 |
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|a transcriptomics
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| 653 |
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|a promoter
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| 653 |
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|a AQP3
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| 653 |
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|a antiviral response
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| 653 |
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|a SNP (single nucleotide polymorphism)
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| 653 |
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|a genetic engineering
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| 653 |
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|a Hezuo Tibetan pig
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| 653 |
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|a single nucleotide polymorphism
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| 653 |
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|a proliferation
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| 653 |
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|a porcine β-defensin 2
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| 653 |
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|a meat quality
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| 653 |
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|a precision medicine
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| 653 |
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|a SNP array genotyping
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| 653 |
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|a Research and information: general / bicssc
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| 653 |
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|a GWAS (Genome-Wide Association Studies)
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| 653 |
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|a off-target
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| 653 |
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|a PRRSV
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| 653 |
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|a total number born alive
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| 653 |
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|a n/a
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| 653 |
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|a non-homologous DNA ends joining (NHEJ)
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| 653 |
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|a adipogenesis
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| 653 |
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|a fatty acids
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| 653 |
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|a puberty
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| 653 |
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|a CRISPR/Cas9
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| 653 |
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|a recombinant proteins
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| 653 |
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|a pubertal genes
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| 653 |
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|a global gene expression
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| 653 |
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|a congenital defects
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| 653 |
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|a growth traits
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| 653 |
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|a antimicrobial peptide
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| 653 |
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|a RNA-seq
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| 653 |
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|a skeletal muscle fiber
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| 653 |
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|a domain
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| 653 |
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|a Zoology and animal sciences / bicssc
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| 653 |
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|a porcine alveolar macrophages
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| 653 |
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|a DNA methylation
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| 653 |
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|a hypothalamus
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| 653 |
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|a poly (I:C)
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| 653 |
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|a transcript
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| 653 |
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|a xenoantigen
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| 653 |
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|a pigs
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| 653 |
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|a obesity
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| 653 |
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|a fatness
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| 653 |
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|a VSV
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| 653 |
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|a extracellular matrix
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| 653 |
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|a lymphatic system
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| 653 |
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|a microarray
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| 653 |
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|a circRNAs
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| 653 |
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|a disease-resistant animals
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| 653 |
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|a Sus scrofa
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| 653 |
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|a lipid metabolism
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| 653 |
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|a SNP
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| 653 |
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|a coagulation system dysregulation
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| 653 |
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|a intramuscular fat
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| 653 |
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|a gene expression
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| 653 |
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|a heat stress
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| 653 |
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|a whole-genome sequencing
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| 653 |
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|a TNF-α
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| 653 |
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|a xenotransplantation
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| 653 |
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|a seminal plasma
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| 653 |
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|a alternative splicing
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| 700 |
1 |
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|a Ropka-Molik, Katarzyna
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| 700 |
1 |
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|a Piórkowska, Katarzyna
|
| 700 |
1 |
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|a Ropka-Molik, Katarzyna
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-5357-3
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/93226
|z DOAB: description of the publication
|
| 856 |
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|u https://www.mdpi.com/books/pdfview/book/6124
|7 0
|x Verlag
|3 Volltext
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|a 590
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|a 620
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|a In this Special Issue, we present the state of the art in the field of pig genetics and genomics, including the identification of gene candidates linked to important pig traits and to nutritional modifications, with the aim of collecting the most recent advances. The published manuscripts focused on high-throughput methodologies, such as RNA sequencing, ATAC-seq, MACE-seq, chip-seq, and RRBS, and covered other fields of pig genetics. The pig (Sus scrofa) is the most common large mammal in the world. The Sus genus includes domestic pig and wild boar. Since the draft reference genome sequence of S. scrofa was assembled in 2012, the processes of identification of genes related to important phenotypic traits and of search of genetic markers for pig selection have been significantly refined. In addition, the newest wide-range high-throughput techniques, including microarrays, next-generation sequencing, and the recent PacBio sequencing platform providing ultra-long sequencing reads, allow identifying gene mutations and gene candidates throughout the whole genome, transcriptome, or epigenome and estimating quantitative traits important for breeding as well as the genetic backgrounds of inherited diseases.
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