A PhD is the highest level of academic achievement in most fields. Before you are allowed to enroll in one of these programs, you must first complete lower-level degree programs; in most cases, these include a bachelor's degree and master’s degree.
What is a PhD in Bioinformatics? This field supports biology by focusing on the information side of things. Students learn about how to create information systems and software tools that organize and analyze biological information and data. Students in this field learn about computer science, information technology, and biology as well as real-world applications of all these fields. Keep in mind that candidates for bioinformatics programs should already have a firm grasp of programming and computer science.
Graduates of PhD programs benefit from developing skills that open up new career opportunities and increased salary. For the bioinformatics field, these skills include programming, analysis and critical thinking for interpreting data, and an understanding of biology and the world’s natural environments.
The cost of enrolling in a PhD program varies based on many factors. Before you enroll, it is wise to research how your specific situation will affect the fees and tuition of a bioinformatics program. You should keep in mind your school, program, country, and length of study.
If you are dedicating yourself to bioinformatics, you likely are pursuing a career as a bioinformatics specialist. This is the position that is responsible for developing and implementing bioinformatics computer systems and interpreting the data. Other positions are available that lean more heavily on biology or information technology rather than having a balance of both. These can include biologist or IT specialist.
To continue your education in bioinformatics and attain the highest possible, find a program that suits your needs. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
Bioinformatics is an interdisciplinary science at the interfaces of the biological, informational and computational sciences, uses computation to better understand biology. Bioinformatics involves the analysis of biological data, particularly DNA, RNA, and protein sequences. [+]
Bioinformatics is an interdisciplinary science at the interfaces of the biological, informational and computational sciences, uses computation to better understand biology. Bioinformatics involves the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology. Recent and novel technologies produce biological datasets of ever-increasing resolution that reveal not only genomic sequences but also RNA and protein abundances, their interactions with one another, their subcellular localization, and the identity and abundance of other biological molecules. This requires the development and application of sophisticated computational methods. Bioinformatics utilizes computational approaches to analyze patterns in biological data and to create complex models of biological activity, including attempts to elucidate the functions of genes and their interactions in genetic pathways. Widespread social benefits are expected from the exploitation of the wealth of new knowledge concerning the genetic mechanisms of life and related processes.... [-]
Biology, biotechnology and biosciences have been rapidly developing since 2000. To handle the data produced, computer technology is required due to the excessive amount of data. [+]
Biology, biotechnology and biosciences have been rapidly developing since 2000. To handle the data produced, computer technology is required due to the excessive amount of data. Most of the recent techniques used in DNA, RNA and protein-based research is supported by bioinformatics and computer science. The computer science offers a new era for the biological sciences. For example the building block of the cell, proteins are modeled in 3D using computer; this enables the rapid and efficient identification of molecular interactions and signal transduction pathways. Similarly, mutations in the genetic sequence can be detected quite fast using the computer technology. Since the recent advancements in computational biology decreased the cost and accelerated the research processes including the drug development, the in silico studies are highly demanded in the industry.... [-]