What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Computational biology, Genome, Gene and Human genome.
His work on Genetics deals in particular with Chromatin, Genomics, Transcription factor, ENCODE and DNA sequencing.
Michael Snyder focuses mostly in the field of Computational biology, narrowing it down to topics relating to Proteome and, in certain cases, Proteomics, Fusion protein and Protein microarray.
As part of his studies on Genome, Michael Snyder frequently links adjacent subjects like Caenorhabditis elegans.
Michael Snyder has researched Human genome in several fields, including Conserved sequence and 1000 Genomes Project.
His studies examine the connections between Saccharomyces cerevisiae and genetics, as well as such issues in Cell biology, with regards to Cyclin-dependent kinase 1 and Biochemistry.
His most cited work include:
- RNA-Seq: a revolutionary tool for transcriptomics (8393 citations)
- Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
- Functional profiling of the Saccharomyces cerevisiae genome. (3578 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Computational biology, Gene, Genome and Cell biology are his primary areas of study.
All of his Genetics and Human genome, Transcription factor, Genomics, DNA sequencing and Regulation of gene expression investigations are sub-components of the entire Genetics study.
Michael Snyder interconnects Chromatin and Chromatin immunoprecipitation in the investigation of issues within Transcription factor.
In Computational biology, Michael Snyder works on issues like Proteomics, which are connected to Proteome.
His research in Genome is mostly focused on Functional genomics.
His Cell biology research includes elements of Cellular differentiation and Saccharomyces cerevisiae.
He most often published in these fields:
- Genetics (38.71%)
- Computational biology (27.36%)
- Gene (22.36%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (27.36%)
- Gene (22.36%)
- Genome (19.80%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computational biology, Gene, Genome, Transcriptome and Cell biology.
His Computational biology study combines topics from a wide range of disciplines, such as Human genome, RNA, ENCODE and Functional genomics, Genomics.
His studies deal with areas such as Disease and Immunology as well as Gene.
He focuses mostly in the field of Genome, narrowing it down to matters related to Sequence assembly and, in some cases, Macaque.
His research investigates the connection between Cell biology and topics such as Chromatin that intersect with problems in Histone, Epigenetics, Transcription factor and Epigenomics.
His Phenotype research entails a greater understanding of Genetics.
Between 2018 and 2021, his most popular works were:
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- The Integrative Human Microbiome Project (238 citations)
- The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight. (186 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Computational biology, Genome, Cell biology, Gene and Transcriptome.
Michael Snyder has included themes like Microbiome, RNA, ENCODE, Genomics and Human proteome project in his Computational biology study.
His studies in Genome integrate themes in fields like CRISPR, Regulation of gene expression, Precision medicine and Novel gene.
His Cell biology study incorporates themes from Ribosome, Messenger RNA, Cell type and Cytosol.
His Gene research incorporates elements of Legionella pneumophila, Endoplasmic reticulum and Chaperone.
His research in Transcriptome intersects with topics in Proteome, Inflammation, Disease, Metabolome and Convolutional neural network.
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