What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Genome, Gene, Sequence analysis and Computational biology.
His study in Microbiology extends to Genetics with its themes.
His research on Genome often connects related topics like Plasmid.
His work in Sequence analysis addresses subjects such as Repeated sequence, which are connected to disciplines such as Computational problem and Range.
His Computational biology research is multidisciplinary, incorporating perspectives in RNA-Seq, ENCODE, DNA, Sequence assembly and splice.
His study looks at the intersection of DNA sequencing and topics like Contig Mapping with Algorithm.
His most cited work include:
- Fast gapped-read alignment with Bowtie 2 (22751 citations)
- Fast gapped-read alignment with Bowtie 2 (22751 citations)
- Fast gapped-read alignment with Bowtie 2 (22751 citations)
What are the main themes of his work throughout his whole career to date?
Steven L. Salzberg mostly deals with Genome, Genetics, Gene, Computational biology and Genomics.
His Genome research includes themes of Evolutionary biology and DNA sequencing.
While the research belongs to areas of DNA sequencing, Steven L. Salzberg spends his time largely on the problem of Metagenomics, intersecting his research to questions surrounding Kraken.
Sequence analysis, Sequence assembly, Human genome, Sequence and Comparative genomics are among the areas of Genetics where Steven L. Salzberg concentrates his study.
The Computational biology study combines topics in areas such as RNA-Seq, Transcriptome, Annotation, Bacterial genome size and splice.
His research investigates the link between Whole genome sequencing and topics such as Microbiology that cross with problems in Virulence.
He most often published in these fields:
- Genome (61.78%)
- Genetics (54.35%)
- Gene (34.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome (61.78%)
- Computational biology (31.42%)
- Gene (34.39%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Genome, Computational biology, Gene, Reference genome and DNA sequencing.
His research in Genome is mostly concerned with Genomics.
His study in Computational biology is interdisciplinary in nature, drawing from both Genome project, Human genome, RNA, Bacterial genome size and RefSeq.
Steven L. Salzberg works mostly in the field of Gene, limiting it down to topics relating to Sequoia and, in certain cases, Plant disease resistance, as a part of the same area of interest.
His Plant disease resistance study contributes to a more complete understanding of Genetics.
Steven L. Salzberg has included themes like Genome size, Contig, Chromosome, Juglans and Gene Annotation in his Reference genome study.
Between 2017 and 2021, his most popular works were:
- Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. (898 citations)
- MUMmer4: A fast and versatile genome alignment system. (408 citations)
- A review of methods and databases for metagenomic classification and assembly. (156 citations)
In his most recent research, the most cited papers focused on:
Steven L. Salzberg focuses on Genome, Computational biology, Metagenomics, DNA sequencing and Reference genome.
His Genome research integrates issues from Evolutionary biology, Amniote, Modular design, Perl and Data structure.
His research integrates issues of Cerebrospinal fluid, RNA, Gene, Human genetics and RefSeq in his study of Computational biology.
In his work, Gene Annotation is strongly intertwined with Genome project, which is a subfield of DNA sequencing.
His Reference genome research includes elements of Juglans sigillata, Sequence analysis, Contig and Genomics.
Extramural and Human diversity are fields of study that intersect with his Human genome research.
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