Michael Gribskov focuses on Genetics, Sequence analysis, Sequence, Sequence alignment and Biochemistry. Gene, Whole genome sequencing, Conserved sequence, Genome and Peptide sequence are among the areas of Genetics where the researcher is concentrating his efforts. His Sequence analysis research incorporates elements of Field, Biotechnology, Gene sequence, Data manipulation language and Computational biology.
His study looks at the intersection of Sequence and topics like Multiple sequence alignment with Nucleic acid sequence, Multiple EM for Motif Elicitation, Set, Homology and Algorithm. He focuses mostly in the field of Sequence alignment, narrowing it down to matters related to Sigma factor and, in some cases, Bacteriophage, Phagemid, DNA and Phage display. Protein kinase A, Kinase and Arabidopsis are the subjects of his Biochemistry studies.
Michael Gribskov mainly focuses on Genetics, Computational biology, Gene, Biochemistry and Genome. His study in Arabidopsis, Peptide sequence, Sequence alignment, Conserved sequence and DNA microarray are all subfields of Genetics. He interconnects Arabidopsis thaliana and Phylogenetic tree in the investigation of issues within Arabidopsis.
Michael Gribskov combines subjects such as Protein structure, Protein primary structure, Sequence analysis and Sequence with his study of Computational biology. Michael Gribskov has included themes like Algorithm, Software and Multiple sequence alignment in his Sequence analysis study. His research investigates the link between Protein kinase A and topics such as Proteomics that cross with problems in Hidden Markov model.
His scientific interests lie mostly in Gene, Genetics, Genome, Computational biology and RNA. His study in Selaginella extends to Genetics with its themes. His Genome research integrates issues from Fungal genetics, RNA editing and Fusarium solani.
His research in Computational biology intersects with topics in Chromatin, Regulation of gene expression, Gene expression and Sequence. Gene expression connects with themes related to Long non-coding RNA in his study. His RNA research is multidisciplinary, relying on both Biophysics, Nucleobase, Whole genome sequencing and Protein secondary structure.
Michael Gribskov mostly deals with Gene, Genome, Genetics, Protein–protein interaction and Viral replication. His work on Fungal genetics as part of general Gene study is frequently linked to Population, Gene mapping and B chromosome, therefore connecting diverse disciplines of science. His work deals with themes such as RNA, Small RNA and RNA editing, which intersect with Genome.
Many of his studies on Genetics involve topics that are commonly interrelated, such as Selaginella. His Protein–protein interaction research includes elements of NS3, Replicon and Virology. Michael Gribskov merges Viral replication with Transport protein in his study.
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The genome of black cottonwood, Populus trichocarpa (Torr. & Gray)
G. A. Tuskan;G. A. Tuskan;S. DiFazio;S. DiFazio;S. Jansson;J. Bohlmann.
Profile analysis: detection of distantly related proteins.
Michael Gribskov;Andrew D. McLachlan;David Eisenberg.
Proceedings of the National Academy of Sciences of the United States of America (1987)
Sequence Analysis Primer
Michael Ray Gribskov;John Devereux.
Combining evidence using p-values: application to sequence homology searches.
Timothy L. Bailey;Michael Gribskov.
Phylogenetic Relationships within Cation Transporter Families of Arabidopsis
Pascal Mäser;Sébastien Thomine;Julian I. Schroeder;John M. Ward.
Plant Physiology (2001)
A Systematic Analysis of Human Disease-Associated Gene Sequences In Drosophila melanogaster
Lawrence T. Reiter;Lorraine Potocki;Sam Chien;Michael Gribskov.
Genome Research (2001)
The sigma 70 family: sequence conservation and evolutionary relationships.
M Lonetto;M Gribskov;C A Gross.
Journal of Bacteriology (1992)
The Arabidopsis CDPK-SnRK Superfamily of Protein Kinases
Estelle M. Hrabak;Catherine W.M. Chan;Michael Gribskov;Jeffrey F. Harper.
Plant Physiology (2003)
 Profile analysis
Michael Gribskov;Roland Lothy;David Eisenberg.
Methods in Enzymology (1990)
The Selaginella genome identifies genetic changes associated with the evolution of vascular plants.
Jo Ann Banks;Tomoaki Nishiyama;Mitsuyasu Hasebe;Mitsuyasu Hasebe;John L. Bowman;John L. Bowman.
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