What is she best known for?
The fields of study she is best known for:
Teresa K. Attwood focuses on InterPro, Protein family, Bioinformatics, Simple Modular Architecture Research Tool and PROSITE.
Her InterPro study combines topics in areas such as Database, Annotation, UniProt, UniProt Knowledgebase and InterProScan.
She works mostly in the field of Protein family, limiting it down to topics relating to Computational biology and, in certain cases, Fingerprint, Sequence alignment and Sequence analysis, as a part of the same area of interest.
The various areas that Teresa K. Attwood examines in her Bioinformatics study include Biomarker, Genome, Information retrieval and Biomarker discovery.
As a part of the same scientific family, Teresa K. Attwood mostly works in the field of Simple Modular Architecture Research Tool, focusing on Resource and, on occasion, Documentation.
Her study in PROSITE is interdisciplinary in nature, drawing from both Regular expression and TIGRFAMs.
Her most cited work include:
- InterPro: the integrative protein signature database (1412 citations)
- InterPro in 2017-beyond protein family and domain annotations (946 citations)
- The InterPro protein families database: the classification resource after 15 years (925 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Computational biology, Bioinformatics, World Wide Web, Data science and Protein family.
Her work deals with themes such as Genetics, Data mining, Genome, InterPro and Sequence analysis, which intersect with Computational biology.
Her InterPro research includes themes of Database, Simple Modular Architecture Research Tool, PROSITE and TIGRFAMs.
Her Bioinformatics study incorporates themes from Training and Information retrieval.
Her World Wide Web research integrates issues from Multimedia and Software.
The study incorporates disciplines such as Annotation and Conserved sequence in addition to Protein family.
She most often published in these fields:
- Computational biology (22.74%)
- Bioinformatics (19.86%)
- World Wide Web (10.47%)
What were the highlights of her more recent work (between 2016-2020)?
- Training (6.14%)
- Medical education (5.42%)
- Bioinformatics (19.86%)
In recent papers she was focusing on the following fields of study:
Teresa K. Attwood focuses on Training, Medical education, Bioinformatics, Computational biology and Data science.
As a member of one scientific family, Teresa K. Attwood mostly works in the field of Training, focusing on The Internet and, on occasion, Scripting language and Interoperability.
She has included themes like Scientific method, Stewardship and Interpretation in her Bioinformatics study.
Her research integrates issues of Genome, Protein Data Bank, InterPro and Sequence in her study of Computational biology.
Her InterPro research is multidisciplinary, incorporating perspectives in Domain, Data access, Annotation and Protein sequencing.
Her Data science research incorporates elements of Variety, Core competency and Qubes.
Between 2016 and 2020, her most popular works were:
- InterPro in 2017-beyond protein family and domain annotations (946 citations)
- InterPro in 2019: improving coverage, classification and access to protein sequence annotations (703 citations)
- A global perspective on evolving bioinformatics and data science training needs. (48 citations)
In her most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Training, Bioinformatics, Data science, Medical education and The Internet.
She performs multidisciplinary study on Bioinformatics and Informatics in her works.
Teresa K. Attwood interconnects Field, Interoperability and Qubes in the investigation of issues within Data science.
Her Medical education research is multidisciplinary, relying on both Elixir, Neuroscience and Principles of learning.
Her studies deal with areas such as Train the trainer and Process as well as Principles of learning.
Her research in The Internet intersects with topics in Simple and Scripting language.
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