The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Regulation of gene expression and Promoter. His research in Human genome, Genome, Genomics, Genome project and Sequence analysis are components of Genetics. His studies in Computational biology integrate themes in fields like DNA binding site, Coding, DNA sequencing and Pharmacology.
The Gene study which covers Estrogen receptor that intersects with Chromatin immunoprecipitation. His Regulation of gene expression research integrates issues from Transcriptional regulation, Transcription factor, Gene expression and Gene expression profiling. His Promoter research is multidisciplinary, relying on both Consensus sequence and In silico.
Vladimir B. Bajic mainly focuses on Genetics, Gene, Computational biology, Genome and Promoter. All of his Genetics and Transcription factor, Human genome, Transcriptional regulation, Genomics and DNA binding site investigations are sub-components of the entire Genetics study. Vladimir B. Bajic focuses mostly in the field of Transcription factor, narrowing it down to matters related to Regulation of gene expression and, in some cases, Gene expression and Gene expression profiling.
His Gene study combines topics from a wide range of disciplines, such as Database and Bioinformatics. His Computational biology study integrates concerns from other disciplines, such as Annotation, Genome project and genomic DNA. Vladimir B. Bajic is involved in the study of Promoter that focuses on RNA polymerase II in particular.
Vladimir B. Bajic focuses on Computational biology, Genome, Gene, Artificial intelligence and Bay. His studies deal with areas such as genomic DNA, DNA, Proteome, Human genome and Coding as well as Computational biology. His study in Genome is interdisciplinary in nature, drawing from both Evolutionary biology, Oryza sativa, Serotype and Bacteria.
Gene is a subfield of Genetics that he tackles. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, In silico, Pattern recognition and Position weight matrix. The study incorporates disciplines such as Seawater, Ecology, Bathycoccus, Chlorophyll a and Metagenomics in addition to Bay.
His primary scientific interests are in Computational biology, Regulation of gene expression, Data mining, Genetics and DNA. His research in Computational biology intersects with topics in False positive paradox, Coding, Peak calling and Genome. His work in the fields of Genome, such as Genome variation, overlaps with other areas such as Functional significance.
Regulation of gene expression is a subfield of Gene that Vladimir B. Bajic investigates. His study in Enhancer, CpG site, Promoter, Regulatory sequence and DNA methylation is carried out as part of his studies in Genetics. Vladimir B. Bajic has researched DNA in several fields, including Molecular biology, Transcription factor, Human genome and Binding site.
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.
The Transcriptional Landscape of the Mammalian Genome
P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
Genome-wide analysis of mammalian promoter architecture and evolution
Piero Carninci;Albin Sandelin;Boris Lenhard;Boris Lenhard;Shintaro Katayama.
Nature Genetics (2006)
On the classification of long non - coding RNAs
Lina Ma;Vladimir B. Bajic;Zhang Zhang.
RNA Biology (2013)
An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man
Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama.
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line
Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub.
Nature Genetics (2009)
Genomic anatomy of the hippocampus.
Carol L. Thompson;Sayan D. Pathak;Andreas Jeromin;Lydia L. Ng.
Complex Loci in Human and Mouse Genomes
Par G Engstrom;Harukazu Suzuki;Noriko Ninomiya;Altuna Akalin.
PLOS Genetics (2006)
Discovery of estrogen receptor α target genes and response elements in breast tumor cells
Chin-Yo Lin;Anders M. Strom;Vinsensius Berlian Vega;Say Li Kong.
Genome Biology (2004)
In silico toxicology: computational methods for the prediction of chemical toxicity
Arwa B. Raies;Vladimir B. Bajic.
Wiley Interdisciplinary Reviews: Computational Molecular Science (2016)
EGASP: the human ENCODE Genome Annotation Assessment Project
Roderic Guigó;Paul Flicek;Josep F Abril;Alexandre Reymond.
Genome Biology (2006)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: