What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Locus, Body mass index and Single-nucleotide polymorphism.
His study looks at the intersection of Genetics and topics like Obesity with Case-control study.
His Genome-wide association study research incorporates elements of SNP, Polymorphism, Genetic variability, Internal medicine and Computational biology.
His work deals with themes such as Exome sequencing, Gene expression profiling, Expression quantitative trait loci, Regulation of gene expression and Genetic variation, which intersect with Genetic variability.
Lachlan J. M. Coin interconnects FTO gene and Glucose homeostasis in the investigation of issues within Body mass index.
Lachlan J. M. Coin combines subjects such as Hemodynamics, Methylenetetrahydrofolate reductase, Surgery and Blood pressure with his study of Single-nucleotide polymorphism.
His most cited work include:
- A global reference for human genetic variation. (7825 citations)
- A census of human cancer genes (2604 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Computational biology, Genome-wide association study, Genome and Gene.
His work on Genetics deals in particular with Single-nucleotide polymorphism, Genetic association, Copy-number variation, Locus and Genotyping.
His study looks at the relationship between Single-nucleotide polymorphism and topics such as Haplotype, which overlap with Genetic variation.
In his research on the topic of Computational biology, Identification is strongly related with Nanopore sequencing.
His Genome-wide association study research is multidisciplinary, incorporating perspectives in Quantitative trait locus, Body mass index, Internal medicine and SH2B1.
In his research, Contig is intimately related to Sequence assembly, which falls under the overarching field of Genome.
He most often published in these fields:
- Genetics (45.98%)
- Computational biology (31.70%)
- Genome-wide association study (24.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (31.70%)
- Genome (23.21%)
- Nanopore sequencing (20.54%)
In recent papers he was focusing on the following fields of study:
Lachlan J. M. Coin spends much of his time researching Computational biology, Genome, Nanopore sequencing, Sequence assembly and Gene.
The concepts of his Computational biology study are interwoven with issues in Inverse polymerase chain reaction, Minion, Genotyping, Genotype and Locus.
His research in Genome intersects with topics in Bacteremia, Antibiotics, Microbiology and Cystic fibrosis.
His work on Phenotype, Copy-number variation and Exon as part of general Gene study is frequently linked to TSPAN8, bridging the gap between disciplines.
His research on DNA sequencing concerns the broader Genetics.
His biological study focuses on Quantitative trait locus.
Between 2019 and 2021, his most popular works were:
- Direct RNA sequencing and early evolution of SARS-CoV-2 (68 citations)
- Quantitative trait loci and differential gene expression analyses reveal the genetic basis for negatively associated β-carotene and starch content in hexaploid sweetpotato [Ipomoea batatas (L.) Lam.]. (26 citations)
- Evaluating the genome and resistome of extensively drug-resistant Klebsiella pneumoniae using native DNA and RNA Nanopore sequencing (9 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Nanopore sequencing, Genome, Sequence assembly, Nanopore and Throughput.
His study with Nanopore sequencing involves better knowledge in Gene.
His Genome project study in the realm of Genome interacts with subjects such as Contiguity.
Lachlan J. M. Coin has included themes like Chromosome, Computational biology and Computer architecture in his Sequence assembly study.
The various areas that Lachlan J. M. Coin examines in his Computational biology study include Transcriptome, RNA Sequence and Sequence.
His research investigates the connection between Transcriptome and topics such as RNA that intersect with problems in Emerging pathogen.
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