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Cheminformatics Education Opportunities

David Wild, Assistant Professor, Indiana University School of Informatics and Computing

Cheminformatics is a rapidly emerging field with a substantial need for education at a variety of levels, but with few academic and other educational sites to meet this need. We are excited to offer three staged options for cheminformatics learning, designed to enable you to progress according to your interests, capabilities and needs. For free cheminformatics education materials, see the Indiana Cheminformatics Education Portal.  

1. Introducing Cheminformatics Self-Study Guide

Prerequisites: none

Introducing Cheminformatics: an intensive self-learning guide for new practitioners, written by David Wild, is a complete self-study guide designed to give a rapid introduction to the emerging field of cheminformatics, including the history of the field, representing 2D and 3D chemical structures on computer, storing and using databases of chemical and related biological information, handling chemical information on the web and in the scholarly literature, and giving an overview of some advanced topics such as clustering and diversity, QSAR and predictive modeling, 3D alignment and docking, and writing cheminformatics software. It is available in versions for individual use, or institution wide use at academic libraries or corporations. It is aimed at life scientists, computer scientists, scientific librarians and other practitioners in both industry and academia who need a rapid, flexible introduction to this field, at low cost relative to traditional courses, and with maximum flexibility - not requiring attendance at lectures or submission of assignments by a set date. Completion of the self-learning guide does not confer university credits or qualifications, but those purchasing the guide are eligible to take an online test (available spring 2012), and upon achieving a satisfactory score, students will receive a certificate of completion (not associated with the University). Completion will also count as cheminformatics prerequisite experience for the Graduate Certificate and possibly enable a more flexible approach to the constituent courses.  

2. Indiana University Graduate Certificate in Chemical Informatics

Prerequisites: bachelors degree or equivalent; U.S. resident; completion of the Introducing Cheminformatics self-study guide or a similar level of cheminformatics training or experience

The Graduate Certificate in Chemical Informatics is an official certificate offered by the Indiana University School of Informatics. It is designed to allow students and industry researchers to obtain university credits in cheminformatics with flexible scheduling and without having to relocate to Indiana. Students must register with Indiana University as Continuing Non-Degree (CND) students, and will need to complete 12 credit hours of work (normally 4 classes) in order to complete the certificate. All credit hours can be completed without physical attendance at the University, although students will need to be available for regular daytime web conferences and teleconferences to obtain some of the credits. Credits obtained in the graduate certificate can be transferred to the PhD program for successful applicants. Only residents of the U.S. are eligible to join the program. For more information, see the Graduate Certificate page. 

3. Indiana University PhD in Informatics (Cheminformatics Track)

Prerequisites: bachelors degree or equivalent; strong experience in science and computing; strong cheminformatics knowledge and experience; ability to relocate to Indiana. 

Students may apply for a PhD in Informatics with a cheminformatics specialization. There are a small number of funded places available each year relative to the number of applications. For students who require funding, application is on a strict timeframe. Potential self-funded students should contact David Wild (djwild@indiana.edu) for self-funded options. Students are normally required to move to Indiana for the duration of the Ph.D. More details on application can be found on the School of Informatics and Computing Cheminformatics PhD page. 
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