The scientist’s investigation covers issues in Genetics, Biochemistry, Computational biology, Lactococcus lactis and Genome. His Genetics study frequently links to related topics such as Analysis of variance. His biological study deals with issues like Bacteria, which deal with fields such as Biosynthesis and Polysaccharide.
His Computational biology research includes themes of Essential gene, Gene prediction and DNA sequencing. His Lactococcus lactis research is multidisciplinary, incorporating elements of Nisin, Lantibiotics, Penicillin binding proteins, Antimicrobial peptides and Cell wall. His Whole genome sequencing study in the realm of Genome connects with subjects such as Context.
His primary areas of study are Genetics, Genome, Gene, Computational biology and Microbiology. His studies in Whole genome sequencing, Genomics, Lactococcus lactis, DNA microarray and Plasmid are all subfields of Genetics research. His research integrates issues of Fermentation, Biochemistry, Regulon, Robustness and Transcriptome in his study of Lactococcus lactis.
In his research on the topic of Genome, Strain is strongly related with Lactobacillus plantarum. His Computational biology study combines topics in areas such as Regulation of gene expression, Genome project and DNA sequencing. His Microbiology research is multidisciplinary, relying on both Microbiome, Immunology and Escherichia coli.
Genome, Immunology, Genetics, Lactococcus lactis and Microbiome are his primary areas of study. His Genome study is concerned with the field of Gene as a whole. His biological study spans a wide range of topics, including Genetic variation, Streptococcus pneumoniae and Haemophilus.
His study in Amino acid, Plasmid, Functional genomics, Escherichia coli and Function are all subfields of Genetics. His Lactococcus lactis study incorporates themes from Fermentation, Gene regulatory network, Transcriptome and Regulon. His study in Microbiome is interdisciplinary in nature, drawing from both Neurodevelopmental disorder, Anticipation, Disease and Atopic dermatitis.
Sacha A. F. T. van Hijum mostly deals with Genetics, Immunology, Microbiome, Genome and Ribosomal RNA. He integrates many fields in his works, including Genetics and Subspecies. In the subject of general Immunology, his work in Arthritis, T cell and Interleukin 17 is often linked to Interleukin 1 receptor antagonist, thereby combining diverse domains of study.
His Microbiome study combines topics from a wide range of disciplines, such as Gram-Positive Cocci, Disease, Ichthyosis vulgaris and Atopic dermatitis. His Genome research integrates issues from Transcriptome, Function and Escherichia coli.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
Wouter G. Touw;Jumamurat R. Bayjanov;Lex Overmars;Lennart Backus.
Briefings in Bioinformatics (2013)
The raw starch binding domain of cyclodextrin glycosyltransferase from Bacillus circulans strain 251
Dirk Penninga;Bart A. van der Veen;Ronald M.A. Knegtel;Sacha A.F.T. van Hijum.
Journal of Biological Chemistry (1996)
Degenerate target sites mediate rapid primed CRISPR adaptation
Peter C. Fineran;Matthias J. H. Gerritzen;María Suárez-Diez;Tim Künne.
Proceedings of the National Academy of Sciences of the United States of America (2014)
The Lactococcus lactis CodY regulon - Identification of a conserved cis-regulatory element
Chris D. den Hengst;Sacha A.F.T. van Hijum;Jan M.W. Geurts;Arjen Nauta.
Journal of Biological Chemistry (2005)
Inferring patient to patient transmission of Mycobacterium tuberculosis from whole genome sequencing data.
Josephine M Bryant;Anita C Schürch;Anita C Schürch;Henk van Deutekom;Simon R Harris.
BMC Infectious Diseases (2013)
BAGEL: a web-based bacteriocin genome mining tool
Anne de Jong;Sacha A. F. T. van Hijum;Jetta J. E. Bijlsma;Jan Kok.
Nucleic Acids Research (2006)
Microbiome dynamics of human epidermis following skin barrier disruption
Patrick L J M Zeeuwen;Jos Boekhorst;Ellen H van den Bogaard;Heleen D de Koning.
Genome Biology (2012)
Whole-Genome Sequencing of Bacterial Pathogens: the Future of Nosocomial Outbreak Analysis
Scott Quainoo;Jordy P. M. Coolen;Sacha A. F. T. van Hijum;Martijn A. Huynen.
Clinical Microbiology Reviews (2017)
Mixed-Culture Transcriptome Analysis Reveals the Molecular Basis of Mixed-Culture Growth in Streptococcus thermophilus and Lactobacillus bulgaricus
Sander Sieuwerts;Douwe Molenaar;Sacha A. F. T. van Hijum;Marke Beerthuyzen.
Applied and Environmental Microbiology (2010)
A generally applicable validation scheme for the assessment of factors involved in reproducibility and quality of DNA-microarray data
Sacha A.F.T. Van Hijum;Anne De Jong;Richard J.S. Baerends;Harma A. Karsens.
BMC Genomics (2005)
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