What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Genome and Transcription factor.
His research investigates the connection with Genetics and areas like Honey bee which intersect with concerns in Regulatory sequence.
His Computational biology research includes elements of Genome complexity, DNA binding site, Emerging technologies and Human genomics.
His study in DNA binding site is interdisciplinary in nature, drawing from both TRANSFAC, Noncoding DNA, Data science and Benchmark.
His research in Genome intersects with topics in Evolutionary biology, Neutral theory of molecular evolution, Drosophila melanogaster, Drosophila Protein and Bacterial one-hybrid system.
The concepts of his Transcription factor study are interwoven with issues in Psychological repression, Transcription and Thermodynamics.
His most cited work include:
- Assessing computational tools for the discovery of transcription factor binding sites. (1177 citations)
- Functional and evolutionary insights from the genomes of three parasitoid Nasonia species. (705 citations)
- Big data: Astronomical or genomical? (687 citations)
What are the main themes of his work throughout his whole career to date?
Computational biology, Transcription factor, Genetics, Gene and Gene expression are his primary areas of study.
His work carried out in the field of Computational biology brings together such families of science as Cis-regulatory module, DNA binding site, Genome, Function and Binding site.
His work deals with themes such as Chromatin, DNA, Transcriptome and Gene regulatory network, which intersect with Transcription factor.
His study in the field of Regulation of gene expression, Drosophila melanogaster, Regulatory sequence and Transcriptional regulation is also linked to topics like Conserved sequence.
In the subject of general Gene, his work in Phenotype and Genomics is often linked to Literature survey, Doxorubicin and Set, thereby combining diverse domains of study.
His Genomics study combines topics in areas such as Scalability and Data science.
He most often published in these fields:
- Computational biology (39.08%)
- Transcription factor (29.31%)
- Genetics (28.74%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (39.08%)
- Gene (28.16%)
- Transcription factor (29.31%)
In recent papers he was focusing on the following fields of study:
Saurabh Sinha mainly investigates Computational biology, Gene, Transcription factor, Gene regulatory network and Phenotype.
Saurabh Sinha works mostly in the field of Computational biology, limiting it down to topics relating to Cancer and, in certain cases, Personalized medicine, Lasso and Multi omics, as a part of the same area of interest.
The Gene expression, Exon, Sonic hedgehog and SOX2 research Saurabh Sinha does as part of his general Gene study is frequently linked to other disciplines of science, such as Set, therefore creating a link between diverse domains of science.
He is involved in the study of Transcription factor that focuses on Enhancer in particular.
His Gene regulatory network research is multidisciplinary, incorporating perspectives in Evolutionary biology, Simulation, Honey bee and Genomics.
His studies examine the connections between Genomics and genetics, as well as such issues in Data science, with regards to Omics data.
Between 2018 and 2021, his most popular works were:
- Towards a fully automated algorithm driven platform for biosystems design. (25 citations)
- Label-free visualization and characterization of extracellular vesicles in breast cancer (16 citations)
- Cross-species systems analysis of evolutionary toolkits of neurogenomic response to social challenge. (15 citations)
In his most recent research, the most cited papers focused on:
- Gene
- DNA
- Artificial intelligence
His main research concerns Gene, Computational biology, Gene regulatory network, Transcription factor and Genomics.
Many of his research projects under Gene are closely connected to Set with Set, tying the diverse disciplines of science together.
Saurabh Sinha performs integrative study on Computational biology and Mechanism of action in his works.
The study incorporates disciplines such as Animal development, In silico and Simulation in addition to Gene regulatory network.
Saurabh Sinha combines subjects such as Chromatin, Epigenomics, Transcriptome and Genome with his study of Transcription factor.
Saurabh Sinha has researched Genomics in several fields, including Data science and Related gene.
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