What is he best known for?
The fields of study he is best known for:
Can Alkan spends much of his time researching Genetics, Genome, Human genome, Genomics and Evolutionary biology.
He combines subjects such as Computational biology and Genetic diversity with his study of Genetics.
His Computational biology research integrates issues from Genome-wide association study and 1000 Genomes Project.
His work deals with themes such as Neanderthal and Recent African origin of modern humans, which intersect with Genome.
The Human genome study combines topics in areas such as Structural variation, Copy number analysis, Copy-number variation and DNA sequencing.
His Genomics research includes elements of Population bottleneck and Reference genome.
His most cited work include:
- A global reference for human genetic variation. (7825 citations)
- A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD (2859 citations)
- A Draft Sequence of the Neandertal Genome (2666 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Genome, Computational biology, DNA sequencing and Genomics.
In most of his Genetics studies, his work intersects topics such as Evolutionary biology.
His study in Human genome, Reference genome, Segmental duplication, Whole genome sequencing and Genomic Structural Variation is done as part of Genome.
In Computational biology, Can Alkan works on issues like Hybrid genome assembly, which are connected to Exome sequencing and Personal genomics.
His studies deal with areas such as Data mining and Sequence analysis as well as DNA sequencing.
Can Alkan has included themes like Exome, Data science and Genetic variation in his Genomics study.
He most often published in these fields:
- Genetics (63.64%)
- Genome (57.79%)
- Computational biology (42.86%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome (57.79%)
- Computational biology (42.86%)
- DNA sequencing (35.71%)
In recent papers he was focusing on the following fields of study:
Can Alkan spends much of his time researching Genome, Computational biology, DNA sequencing, Genomics and Reference genome.
His work in the fields of Genome, such as Genomic data, overlaps with other areas such as Set.
His biological study spans a wide range of topics, including Structural variation, Segmental duplication, Whole genome sequencing, Germline and Ploidy.
His Structural variation research incorporates elements of Read depth, Gene conversion, Human genome and Human genetics.
Can Alkan has researched Whole genome sequencing in several fields, including Exome sequencing, Copy Number Polymorphism, Copy-number variation, 1000 Genomes Project and GC-content.
He undertakes interdisciplinary study in the fields of Genomics and Sequence assembly through his research.
Between 2018 and 2021, his most popular works were:
- Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions (75 citations)
- A robust benchmark for detection of germline large deletions and insertions. (54 citations)
- A robust benchmark for germline structural variant detection (48 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Genome, Computational biology, Pipeline, Benchmark and Computer engineering.
He works in the field of Genome, namely Genomics.
His work carried out in the field of Genomics brings together such families of science as Organism, Structural variation, Human genome and Reference genome.
The study incorporates disciplines such as Personal Genome Project and Germline in addition to Benchmark.
His Computer engineering research is multidisciplinary, incorporating elements of Dynamic programming, Filter and Speedup.
His DNA sequencing research includes themes of Whole genome sequencing, Gene conversion and Segmental duplication.
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