Quaid Morris focuses on Genetics, Gene, Computational biology, RNA and Genome. His work on Regulation of gene expression, Exon, Intron and Human genome as part of general Gene study is frequently connected to Synthetic genetic array, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Quaid Morris has included themes like Carcinogenesis, DNA microarray, Molecular evolution and Gene regulatory network in his Computational biology study.
His research investigates the link between Gene regulatory network and topics such as Bioinformatics that cross with problems in Interactome. Quaid Morris usually deals with RNA and limits it to topics linked to Messenger RNA and Biotinylation. The study incorporates disciplines such as Germline mutation, In vitro, Model organism, Function and Human genetics in addition to Genome.
His primary areas of investigation include Genetics, Computational biology, Gene, Gene expression and Genome. His research related to RNA, microRNA, Regulation of gene expression, Gene expression profiling and Binding site might be considered part of Genetics. His research in Computational biology intersects with topics in Cancer, Bioinformatics, Mutation, RNA-binding protein and DNA sequencing.
His work deals with themes such as RNA splicing and Cell biology, which intersect with RNA-binding protein. In general Gene study, his work on Phenotype, Gene regulatory network and Functional genomics often relates to the realm of Set, thereby connecting several areas of interest. His biological study spans a wide range of topics, including Tumor heterogeneity, Human cancer and Cancer type.
His main research concerns Computational biology, Genome, Cancer, Mutation and Gene. His Computational biology research is multidisciplinary, relying on both Phylogenetic tree, Function, Mutation detection, DNA sequencing and Binding selectivity. His Genome research incorporates elements of Tumor heterogeneity, Cancer type, Transcription factor and Germline mutation.
Quaid Morris studied Mutation and Allele frequency that intersect with Human genome and Neutral mutation. Gene is a primary field of his research addressed under Genetics. His work on Endocytosis, Single-cell analysis, Penetrance and High-content screening as part of general Genetics research is frequently linked to Lysosome, bridging the gap between disciplines.
His primary areas of study are Genome, Computational biology, RNA-binding protein, Cancer research and Internal medicine. In general Genome, his work in Whole genome sequencing is often linked to C2H2 Zinc Finger linking many areas of study. His work carried out in the field of Computational biology brings together such families of science as Tumor heterogeneity, Germline mutation, Conserved sequence and Regulation of gene expression.
Quaid Morris has researched RNA-binding protein in several fields, including RNA splicing, Gene knockdown and Cell biology. His Internal medicine research is multidisciplinary, incorporating perspectives in Text mining, Deep learning, Artificial intelligence and ENCODE. His RNA study introduces a deeper knowledge of Gene.
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The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
David Warde-Farley;Sylva L. Donaldson;Ovi Comes;Khalid Zuberi.
Nucleic Acids Research (2010)
The genetic landscape of a cell.
Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim.
Pan-cancer analysis of whole genomes
Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
A compendium of RNA-binding motifs for decoding gene regulation
Debashish Ray;Hilal Kazan;Kate B. Cook;Matthew T. Weirauch;Matthew T. Weirauch.
The human splicing code reveals new insights into the genetic determinants of disease
Hui Y. Xiong;Babak Alipanahi;Babak Alipanahi;Leo J. Lee;Leo J. Lee;Hannes Bretschneider.
Diversity and Complexity in DNA Recognition by Transcription Factors
Gwenael Badis;Michael F. Berger;Michael F. Berger;Anthony A. Philippakis;Anthony A. Philippakis;Anthony A. Philippakis;Shaheynoor Talukder.
GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function
Sara Mostafavi;Debajyoti Ray;David Warde-Farley;Chris Grouios.
Genome Biology (2008)
Christian T. Lopes;Max Franz;Farzana Kazi;Sylva L. Donaldson.
Dynamic modularity in protein interaction networks predicts breast cancer outcome
Ian W Taylor;Rune Linding;David Warde-Farley;Yongmei Liu.
Nature Biotechnology (2009)
Exploration of essential gene functions via titratable promoter alleles
Sanie Mnaimneh;Armaity P Davierwala;Jennifer Haynes;Jason Moffat.
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