Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, chemistry, physics, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for in silico analyses of biological queries using computational and statistical techniques.
Genomics is an interdisciplinary field of biology focusing on the structure, function, evolution, mapping, and editing of genomes. A genome is an organism's complete set of DNA, including all of its genes as well as its hierarchical, three-dimensional structural configuration. In contrast to genetics, which refers to the study of individual genes and their roles in inheritance, genomics aims at the collective characterization and quantification of all of an organism's genes, their interrelations and influence on the organism. Genes may direct the production of proteins with the assistance of enzymes and messenger molecules. In turn, proteins make up body structures such as organs and tissues as well as control chemical reactions and carry signals between cells. Genomics also involves the sequencing and analysis of genomes through uses of high throughput DNA sequencing and bioinformatics to assemble and analyze the function and structure of entire genomes. Advances in genomics have triggered a revolution in discovery-based research and systems biology to facilitate understanding of even the most complex biological systems such as the brain.
Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions such as the formation of structural fibers of muscle tissue, enzymatic digestion of food, or synthesis and replication of DNA. In addition, other kinds of proteins include antibodies that protect an organism from infection, and hormones that send important signals throughout the body.
A DNA microarray is a collection of microscopic DNA spots attached to a solid surface. Scientists use DNA microarrays to measure the expression levels of large numbers of genes simultaneously or to genotype multiple regions of a genome. Each DNA spot contains picomoles of a specific DNA sequence, known as probes. These can be a short section of a gene or other DNA element that are used to hybridize a cDNA or cRNA sample under high-stringency conditions. Probe-target hybridization is usually detected and quantified by detection of fluorophore-, silver-, or chemiluminescence-labeled targets to determine relative abundance of nucleic acid sequences in the target. The original nucleic acid arrays were macro arrays approximately 9 cm × 12 cm and the first computerized image based analysis was published in 1981. It was invented by Patrick O. Brown. An example of its application is in SNPs arrays for polymorphisms in cardiovascular diseases, cancer, pathogens and GWAS analysis. It is also used for the identification of structural variations and the measurement of gene expression.
A number of professional degrees in dentistry are offered by dental schools in various countries around the world.
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data. These, in combination with computational and statistical approaches to understanding the function of the genes and statistical association analysis, this field is also often referred to as Computational and Statistical Genetics/genomics. As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes to understand the principles of how the DNA of a species controls its biology at the molecular level and beyond. With the current abundance of massive biological datasets, computational studies have become one of the most important means to biological discovery.
Gilbert Chu is an American biochemist. He is a Professor of Medicine (Oncology) and Biochemistry at the Stanford Medical School.
Anthony James Cuticchia Jr. was an American scientist with expertise in the fields of genetics, bioinformatics, and genomics. In particular, he was responsible for the collection of the data constituting the human gene map, prior to the final sequencing of the genome. He was also a practicing attorney. He died due to cancer on January 6, 2022.
Patrick O'Reilly Brown is an American scientist and businessman who is the founder of Impossible Foods Inc. and professor emeritus in the department of biochemistry at Stanford University. Brown is co-founder of the Public Library of Science, inventor of the DNA microarray, and a former investigator at Howard Hughes Medical Institute.
Microarray analysis techniques are used in interpreting the data generated from experiments on DNA, RNA, and protein microarrays, which allow researchers to investigate the expression state of a large number of genes - in many cases, an organism's entire genome - in a single experiment. Such experiments can generate very large amounts of data, allowing researchers to assess the overall state of a cell or organism. Data in such large quantities is difficult - if not impossible - to analyze without the help of computer programs.
Terence Paul "Terry" Speed, FAA FRS is an Australian statistician. A senior principal research scientist at the Walter and Eliza Hall Institute of Medical Research, he is known for his contributions to the analysis of variance and bioinformatics, and in particular to the analysis of microarray data.
Todd R. Golub is a professor of pediatrics at the Harvard Medical School, the Charles A. Dana Investigator in Human Cancer Genetics at the Dana–Farber Cancer Institute, and the Director and a founding member of the Broad Institute of MIT and Harvard. He is a world leader in applying genomic tools to cancer research, having made important discoveries in the molecular basis of childhood leukemia.
Jack Y. Yang is an American computer scientist and biophysicist. As of 2011, he is the Editor-in-Chief of the International Journal of Computational Biology and Drug Design.
Marco Ramoni was a recognized a translational biostatistician and bioinformatician at the Children's Hospital Informatics Program, Boston, affiliated with the Harvard-MIT Division of Health Sciences and Technology.
Sean Roberts Eddy is Professor of Molecular & Cellular Biology and of Applied Mathematics at Harvard University. Previously he was based at the Janelia Research Campus from 2006 to 2015 in Virginia. His research interests are in bioinformatics, computational biology and biological sequence analysis. As of 2016 projects include the use of Hidden Markov models in HMMER, Infernal Pfam and Rfam.
John Quackenbush is an American computational biologist and genome scientist. He is a professor of biostatistics and computational biology and a professor of cancer biology at the Dana–Farber Cancer Institute (DFCI), as well as the director of its Center for Cancer Computational Biology (CCCB). Quackenbush also holds an appointment as a professor of computational biology and bioinformatics in the Department of Biostatistics at the Harvard School of Public Health.
Translational bioinformatics (TBI) is an emerging field in the study of health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. Furthermore, it involves applying biomedical research to improve human health through the use of computer-based information system. TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes.
The Beckman Center for Molecular and Genetic Medicine is an interdisciplinary center, part of Stanford School of Medicine at Stanford University, Stanford, California. Considered a "unique facility", it was one of the first research centers to take a translational medicine approach to molecular and medical genetics.
William Giannobile is a leader in the field of periodontology and an internationally recognized scholar in oral regenerative medicine, tissue engineering, and precision medicine. Giannobile currently holds the position of Dean of Harvard School of Dental Medicine (HSDM), and began serving in this role in September 2020. Giannobile was named Dean of HSDM in April 2020. Prior to HSDM, he served as the Najjar Endowed Professor and chair of the Department of Periodontics and Oral Medicine at the University of Michigan School of Dentistry. He was also a professor of biomedical engineering at the College of Engineering and Biointerfaces Institute.
Sheila M. Riggs serves as chair of the Department of Primary Dental Care at the University of Minnesota School of Dentistry as well as the community engagement director for the University's Clinical and Translational Science Institute. In these roles, she pursues a wide range of research interests as well as providing leadership to the pioneering Dental Therapy Program within her department. The Dental Therapist program in Minnesota is among the first to be developed and accredited in the US and is designed to increase access to dental care for underserved populations.
