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Given a combination of technological sequence errors and genetic variation, coupled to the extensive sequence repetition in the human genome, many reads cannot be uniquely mapped to a single reference coordinate region.
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Both technological sequences have been merged minimizing thermal budget and providing suitable properties of all the technological layers.
Despite these technological advances, sequencing data remain unevenly distributed across phylogenetic groups; for example, 50 of the 72 vertebrate genomes currently available in Ensembl belong to mammals (Flicek et al. 2014), most of them originating from the "Mammals Genome Project" (Lindblad-Toh et al. 2011), even though mammals comprise only 8% of the total number of vertebrate species.
Recent advances in library preparation methods enable high-throughput next generation sequencing (NGS) and technological improvements in sequencing chemistries now offer sufficient read lengths to encompass STR alleles.
Today, genome-wide studies have gained an elevated level of definition from recent technological advances in sequencing and in sequence analysis.
Recent technological advances in sequencing complete mtDNA sequences have provided easier access to mitogenomic data for phylogenomic studies [ 32- 34].
Technological advances in sequencing technologies have paved the way for exploration and exploitation of crop genomes through genome sequencing.
Technological breakthroughs in sequencing technologies have driven the advancement of molecular biology and molecular genetics research.
This transition is driven by the increased technological ability to sequence cancer and healthy tissue samples from patients.
In the present study, we utilized a long-PCR-coupled 454 technological approach to sequence the complete mt genome from a small portion of the genomic DNA from a single adult of Haemonchus contortus (Nematoda: Strongylida).
Finally, technological advances to sequence and analyze DNA of patients has helped identify key genetic variants such as single-nucleotide polymorphisms (SNPs) in genes involved in liver diseases (Guo et al. 2009; Singal et al. 2014).
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