What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Proteomics, Computational biology, Tandem mass spectrometry, Proteome and Shotgun proteomics.
The Proteomics study combines topics in areas such as Reproducibility, Targeted mass spectrometry, Scale and Genomics.
His Tandem mass spectrometry research incorporates elements of Fragmentation and Stereochemistry.
His research investigates the connection with Proteome and areas like Proteogenomics which intersect with concerns in Amplicon and DNA repair.
David L. Tabb has included themes like Database search engine, Peptide sequence, Fungal protein, Combinatorial chemistry and Column in his Shotgun proteomics study.
His work in the fields of Gene, such as Functional genomics, intersects with other areas such as PlasmoDB and Gametocyte.
His most cited work include:
- Skyline: an open source document editor for creating and analyzing targeted proteomics experiments (2583 citations)
- A cross-platform toolkit for mass spectrometry and proteomics (1281 citations)
- DTASelect and Contrast: Tools for Assembling and Comparing Protein Identifications from Shotgun Proteomics (1151 citations)
What are the main themes of his work throughout his whole career to date?
David L. Tabb mainly investigates Proteomics, Tandem mass spectrometry, Shotgun proteomics, Bioinformatics and Proteome.
His Proteomics study is concerned with the larger field of Genetics.
His research integrates issues of Combinatorial chemistry, Ion trap and Peptide in his study of Tandem mass spectrometry.
His Shotgun proteomics research incorporates themes from Analytical chemistry, Database search engine, Artificial intelligence and Pattern recognition.
His Bioinformatics research is multidisciplinary, relying on both Cancer, Protein sequencing and Reproducibility.
Many of his research projects under Genomics are closely connected to PlasmoDB and Gametocyte with PlasmoDB and Gametocyte, tying the diverse disciplines of science together.
He most often published in these fields:
- Proteomics (45.22%)
- Tandem mass spectrometry (31.30%)
- Shotgun proteomics (24.35%)
What were the highlights of his more recent work (between 2015-2020)?
- Proteomics (45.22%)
- Computational biology (17.39%)
- Proteome (18.26%)
In recent papers he was focusing on the following fields of study:
David L. Tabb focuses on Proteomics, Computational biology, Proteome, Bioinformatics and Tandem mass spectrometry.
David L. Tabb is studying Shotgun proteomics, which is a component of Proteomics.
His work deals with themes such as Ovarian cancer and Serous fluid, which intersect with Computational biology.
The various areas that David L. Tabb examines in his Proteome study include Shotgun, DNA repair and splice.
His study explores the link between Bioinformatics and topics such as Reproducibility that cross with problems in Mass spectrometry, Replicate, Mass spectrometric and Quantitative proteomics.
David L. Tabb combines subjects such as Glycosylation and Biochemistry with his study of Tandem mass spectrometry.
Between 2015 and 2020, his most popular works were:
- Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer (446 citations)
- Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities. (142 citations)
- Recognizing millions of consistently unidentified spectra across hundreds of shotgun proteomics datasets (72 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Genome, Proteomics, Computational biology, Bioinformatics and Cancer research.
His Genome study incorporates themes from Proteome, Ovarian cancer and Serous fluid.
His Proteome research includes themes of RNA, RNA splicing, DNA, Germline and splice.
His study in Proteomics focuses on Shotgun proteomics in particular.
While working in this field, David L. Tabb studies both Computational biology and Gene dosage.
His studies deal with areas such as Proteogenomic Characterization, Homologous recombination, Serous ovarian cancer, Colorectal cancer and Cancer genome as well as Cancer research.
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