What is he best known for?
The fields of study he is best known for:
John M. Hancock mostly deals with Genetics, Gene, Genome, Ribosomal RNA and Peptide sequence.
His research brings together the fields of Evolutionary biology and Genetics.
His Genome study combines topics from a wide range of disciplines, such as International Knockout Mouse Consortium, Inbred strain, Replication slippage and Expressivity.
He works mostly in the field of Ribosomal RNA, limiting it down to topics relating to Ribosomal DNA and, in certain cases, Internal transcribed spacer, as a part of the same area of interest.
The study incorporates disciplines such as Plasma protein binding, Molecular biology, A-site, Binding site and Endoplasmic reticulum in addition to Peptide sequence.
His work in Phenotype covers topics such as Computational biology which are related to areas like Data access.
His most cited work include:
- Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project (446 citations)
- The MLL recombinome of acute leukemias in 2013 (344 citations)
- Complete sequences of the rRNA genes of Drosophila melanogaster. (307 citations)
What are the main themes of his work throughout his whole career to date?
John M. Hancock mainly focuses on Genetics, Computational biology, Gene, Genome and Phenotype.
As part of his studies on Genetics, John M. Hancock frequently links adjacent subjects like Evolutionary biology.
His Computational biology course of study focuses on Ontology and World Wide Web.
His study in Gene duplication and Replication slippage falls under the purview of Gene.
His research on Genome focuses in particular on Genome evolution.
John M. Hancock interconnects RNA and Ribosomal DNA in the investigation of issues within Ribosomal RNA.
He most often published in these fields:
- Genetics (31.05%)
- Computational biology (22.11%)
- Gene (18.42%)
What were the highlights of his more recent work (between 2014-2021)?
- Elixir (3.16%)
- Computational biology (22.11%)
- Elixir (2.11%)
In recent papers he was focusing on the following fields of study:
John M. Hancock mainly investigates Elixir, Computational biology, Elixir, Brassica and Sierra leone.
His Elixir research integrates issues from Field, Node and Data science.
His study in Field is interdisciplinary in nature, drawing from both Benchmark data, Genomics, Structural bioinformatics and Skills for Life.
His Computational biology study integrates concerns from other disciplines, such as Identifier, Phenomics and Laboratory mouse.
His Brassica study incorporates themes from Biotechnology and Crop.
His research in Crop intersects with topics in User interface, Data integration, Data management and Data access.
Between 2014 and 2021, his most popular works were:
- Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics. (110 citations)
- Disentangling the complexity of low complexity proteins (27 citations)
- Human Variome Project Quality Assessment Criteria for Variation Databases. (15 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Computational biology, Software, Carpentry, Elixir and Molecular Sequence Annotation.
John M. Hancock incorporates Computational biology and Structure and function in his studies.
His Software research is multidisciplinary, incorporating perspectives in Bioinformatics software and Data science.
He integrates many fields, such as Carpentry and engineering, in his works.
The Elixir study combines topics in areas such as Field, Engineering management and Skills for Life.
His Molecular Sequence Annotation research is multidisciplinary, relying on both Domain, Sequence analysis, Annotation, Visualization and Intersection.
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