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        • 02-319/719 Genomics and Epigenetics of the Brain
        • 02-331/731 Modeling Evolution
        • 02-402/702 Computational Biology Seminar
        • 02-414/614 String Algorithms
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        • 02-500 Undergraduate Research in Computational Biology
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Find us
help@cbd.cmu.edu
Computational Biology Department Computational Biology Department
  • About Us
    • Leadership
    • What is Computational Biology?
    • What is Automated Science?
    • Computational Biology Careers Website
    • List of Educational Programs in Computational Biology
    • The Hillman Center
    • History
    • CBD at a Glance
    • News and Events
      • News
      • Calendar
      • Departmental Seminars
      • Meetings
    • Department Resources
  • Education
    • Ph.D. in Computational Biology
    • M.S. in Automated Science
    • M.S. in Computational Biology
    • Undergraduate Program in Computational Biology
      • Major in Computational Biology
        • Why Major in Computational Biology?
        • Degree Requirements
        • The Undergraduate Research Pledge
        • Sample Course Sequence for Computational Biology Majors
        • Guidelines for Transfer to Major in Computational Biology
        • Suggested Courses for “Pre-Med” Computational Biology Majors
        • Additional Major in Computational Biology
          • Double-Counting Suggestions for Additional Majors in SCS
      • Minor in Computational Biology
      • Concentration in Computational Biology
      • Visit Us
    • Pre-College Program in Computational Biology
    • Courses Offered
      • Undergraduate Courses Offered
      • Graduate Courses Offered
      • Course Profiles
        • 02-201/601 Programming for Scientists
        • 02-223 Personalized Medicine: Understanding your Own Genome
        • 02-250 Introduction to Computational Biology
        • 02-251 Great Ideas in Computational Biology
        • 02-261 Quantitative Cell and Molecular Biology Laboratory
        • 02-319/719 Genomics and Epigenetics of the Brain
        • 02-331/731 Modeling Evolution
        • 02-402/702 Computational Biology Seminar
        • 02-414/614 String Algorithms
        • 02-425/725 Computational Methods for Proteogenomics and Metabolomics
        • 02-450/750 Automation of Scientific Research
        • 02-500 Undergraduate Research in Computational Biology
        • 02-510/710 Computational Genomics
        • 02-512/02-712 Computational Methods for Biological Modeling and Simulation
        • 02-518/718 Computational Medicine
        • 02-530/730 Cell and Systems Modeling
        • 02-602 Professional Issues in Computational Biology
        • 02-604 Fundamentals of Bioinformatics
        • 02-605 Professional Issues in Automated Science
        • 02-613 Algorithms and Advanced Data Structures
        • 02-620 Machine Learning for Scientists
        • 02-700 M.S. Research
        • 02-701 CPCB Course / Current Topics in Computational Biology
        • 02-715 Advanced Topics in Computational Genomics
        • 02-740 Bioimage Informatics
        • 02-750 Automation of Scientific Research
        • 02-760 Laboratory Methods for Computational Biologists
        • 02-761 Laboratory Methods for Automated Biology I
        • 02-762 Laboratory Methods for Automated Biology II
        • 02-801 Computational Biology Internship
        • 02-900 Ph.D. Thesis Research
  • Research
    • Software
    • Faculty Research Pages
    • Computational Biology Technical Reports
    • White Papers
  • People
    • Faculty
      • Voting Faculty
      • Affiliated Faculty
      • Visiting Faculty
      • Adjunct Faculty
      • Visiting Interns
    • Staff
      • Department Staff
      • Research Staff
    • Fellows and Special Faculty
      • The Lane Fellows Program
      • Current Lane Fellows
      • Past Lane Fellows
      • Postdoctoral Fellows
      • Past Postdoctoral Fellows
      • Special Faculty
    • Alumni
      • Ph.D. Graduates
      • Alumni Profiles
  • Join Us!
    • Life in Pittsburgh
      • Neighborhoods Near Carnegie Mellon University
      • Things to Do in Pittsburgh
    • Positions Available
    • Apply to Ph.D. Program
    • Apply to MSAS
    • Apply to MSCB
    • Apply to Undergraduate Program
    • Apply to be a Lane Fellow
  • Donate!
1Deep Learning Helps Tease Out Gene Interactions

Deep Learning Helps Tease Out Gene Interactions

Dec 10, 2019

New Method Could Help Identify Disease-Related Genes, Pathways Carnegie Mellon University computer scientists have taken a deep learning method that has revolutionized face recognition and other image-based applications in recent years and redirected its power to explore the relationship between genes. The trick, they say, is to transform massive amounts of gene expression data into […]

2Murphy Named 2020 IEEE Fellow

Murphy Named 2020 IEEE Fellow

Dec 9, 2019

Robert F. Murphy, the Ray and Stephanie Lane Professor of Computational Biology and head of the Computational Biology Department at Carnegie Mellon University, has been elevated to fellow status in the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization. Murphy is also professor of Biological Sciences and holds courtesy appointments in the Biomedical Engineering and Machine Learning departments. Fellow status […]

3CMU Algorithm Rapidly Finds Anomalies in Gene Expression Data

CMU Algorithm Rapidly Finds Anomalies in Gene Expression Data

Nov 27, 2019

Algorithm Also Works to Identify and Correct Mistakes It Might Have Made   Computational biologists at Carnegie Mellon University have devised an algorithm to rapidly sort through mountains of gene expression data to find unexpected phenomena that might merit further study. What’s more, the algorithm then re-examines its own output, looking for mistakes it has […]

4Computational “Match Game” Identifies Potential Antibiotics

Computational “Match Game” Identifies Potential Antibiotics

Oct 16, 2019

CMU Software Tool Speeds Discovery Using Microbial Datasets Computational biologists at Carnegie Mellon University have devised a software tool that can play a high-speed “Match Game” to identify bioactive molecules and the microbial genes that produce them so they can be evaluated as possible antibiotics and other therapeutic agents. Working with colleagues at the University […]

5HuBMAP Consortium Charts out Goals for Navigable 3D Map in Article in Nature Magazine

HuBMAP Consortium Charts out Goals for Navigable 3D Map in Article in Nature Magazine

Oct 10, 2019

‘The HuBMAP Computational Tools Center, led by principal investigator and CBD Faculty Ziv Bar-Joseph, and CBD’s Systems Scientists Matt Ruffalo will play an important role in the development and implementation of the methods required to create an interactive map that scientists can use to navigate through the human body as discussed in this article in Nature

6Mohimani Goes Big To Find New Antibiotics

Mohimani Goes Big To Find New Antibiotics

Oct 1, 2019

NIH New Innovator Award Supports Global Search of Microbial Communities Hosein Mohimani has a knack for finding ever-faster ways of searching giant databases for potential therapeutic drugs. Now, the computer scientist is trying a new approach in which the size of the databases isn’t something to be conquered, but a feature he uses to his advantage. […]

7Computational Biology Celebrates 10 Years!

Computational Biology Celebrates 10 Years!

Sep 21, 2019

President Jahanian welcomes everyone to the 10th Anniversary celebration

8Computational Biology Department opens search for new Department Head

Computational Biology Department opens search for new Department Head

Jul 19, 2019

  After founding and leading the computational biology department (CBD) at CMU for 10 years, Professor Robert F. (Bob) Murphy has decided to step down as Head and return to the faculty. Under Bob’s leadership, CBD established itself as a leader in both research and education. It has consistently been the top contributor to the […]

9Bacteria Change Behavior To Tackle Tiny Obstacle Course

Bacteria Change Behavior To Tackle Tiny Obstacle Course

May 20, 2019

E. coli behavior in obstacle courses has implications for robotic search and rescue

10Kathryn Roeder elected to National Academy of Sciences

Kathryn Roeder elected to National Academy of Sciences

May 3, 2019

Professor Kathryn Roeder has been elected by her peers to the National Academy of Sciences (NAS) for “outstanding contributions to research”.  This recognition is considered one of the highest honors that a scientist can receive, with a total number of active members totaling 2,347. Dr. Roeder is professor of Statistics and Computational Biology and is […]

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