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Bioinformatics
The demand for scientists with training in bioinformatics tools
and methods increases as biological data accumulates. Created
in consultation with industry experts, UCSC Extension’s
Bioinformatics Certificate Program provides biologists and
computer scientists with the skills and methods needed to
interpret this deluge of biological information. Apply the key
principles and practices of bioinformatics in your own field—
whether you are a life scientist, computer scientist,
or a professional with a degree in biology, biochemistry,
or computer science seeking new career options.
ucsc-extension.edu/
bioinformatics
Bioinformatics Certificate
Prerequisite Courses
Certificate Requirements
Curriculum
To satisfy the requirements for the Certificate in
Bioinfor­matics, you must complete three required
courses and 7 units of electives, for a minimum
total of 16 units.
Prerequisite Courses
Prerequisites
OR S
tatistical Design of Experiments:
Familiarity with the principles of modern molecular
biology is required. Completion of “Molecular Biology, Introduction” or an equivalent course within
the last five years, or equivalent experience satisfies
this requirement. An understanding of probability
and statistics is required for “Statistical Analysis
and Modeling for Bioinformatics and Biomedical
Applications.” Students without this background
should first complete “Statistics” or “Statistical
Design of Experiments: A Practical Approach,” or
the equivalent prior to taking “Statistical Analysis
and Modeling for Bioinformatics and Biomedical
Applications.”
Recommended Course Sequence
Those new to the field of bioinformatics should
start with “Bioinformatics Tools, Databases and
Methods” and “Experimental Methods in Molecular
Biology” (after completing the prerequisite).
Courses may then be taken in any sequence,
unless otherwise specified in the individual
course description.
Applying for a Certificate
We encourage you to establish candidacy
in a certificate program early in your studies.
This ensures that curriculum changes subsequent to
receipt of your application will not affect your course
requirements. Candidates will be notified of updates
or special opportunities related to their program.
Certificate applications can be submitted online
at ucsc-extension.edu.
Molecular Biology, Introduction
UnitsCourse
Molecular Biology, Introduction................... 3.0.........4213
AND
Statistics................................................. 5.0.......23588
A Practical Approach.............................. 2.0.......23096
Required Courses UnitsCourse
Bioinformatics Tools, Databases
and Methods................................................ 3.0.........2447
Experimental Methods in
Molecular Biology........................................ 3.0.........1912
Statistical Analysis and Modeling for
Bioinformatics and Biomedical Applications 3. .0.........1032
Elective Courses (6 units required) UnitsCourse
Take required courses before electives.
Biomedical Ethics......................................... 2.5.......30246
Computational Biology with Java ............... 3.0.........0266
DNA Microarrays: Principles,
Applications and Data Analysis.................... 3.0.........2183
Drug Discovery, Introduction ....................... 3.0.........4853
Gene Expression and Pathways................... 2.0.........6020
Next Generation DNA Sequencing:
Methods and Applications........................... 3.0.......30330
Perl for Bioinformatics................................. 2.0.......19971
Sequence Analysis in Bioinformatics,
Advanced .................................................... 2.0.........0036
Structure Analysis of Biological Molecules... 2.0.........5925
Note: Any one course from UCSC Extension’s
Biotechnology Certificate may be applied toward
the elective unit requirement for the Bioinformatics
Certificate Program.
Program Contact
Enroll online now or contact the Applied and
Natural Sciences Department for more information:
(408) 861-3860 or email
[email protected]
Enrollment Information
Visit ucsc-extension.edu/bioinformatics
for the most up-to-date information about
all our courses and programs, including
textbooks, schedules and locations.
Enroll online at ucsc-extension.edu.
Copyright © 2015 The Regents of the University of California. All rights reserved.
This course introduces molecular biology for
non-biologists and offers a review for those who
want an update. Topics include fundamental concepts
of genes and proteins, central dogma and the genetic
code; structure and function of genes; gene expression,
transcription and translation; protein structure and
function; introduction to genetics; Mendelian analysis;
molecular and population genetics, genetic markers
and maps; and the impact of modern molecular
biology on science and medicine. The course reviews
experimental methods used in molecular biology,
such as recombinant DNA, PCR, gene cloning,
and gene expression analysis.
Course 4213
Statistics
This course explores the fundamentals of statistical
methods and reasoning. Topics include descriptive
methods, data gathering, probability, interval
estimation, significance tests, one- and two-sample
problems, categorical data analysis, correlation and
regression. The instructor will demonstrate the use
of spreadsheets and statistical software to analyze
and interpret data. Examples are drawn from a
variety of fields including biology, business and
marketing. While not too mathematically rigorous
for the novice, the course provides some mathematical detail to illustrate basic concepts. No prior
background in calculus or statistics is required.
Course 23588
OR
Statistical Design of Experiments:
A Practical Approach
The Statistical Design of Experiment (DOE) is a powerful tool for systematically analyzing experimental
data and factors affecting outputs. This methodology
is applicable to a wide range of research and development experiments, as well as manufacturing, quality
and marketing. Used effectively, it can speed up
research, increase productivity, and reduce costs.
In this course, you’ll learn how DOE can be used to
simultaneously analyze multiple inputs and identify
important interactions that might otherwise
be missed.
Course 23096
Info
Biotechnology and Bioinformatics Info Session
Are you interested in learning about the Bioinformatics and Biotechnology certificate programs, and about careers in these fields? This special free
Session
information session provides an opportunity to meet instructors and other students, learn about program prerequisites, course content and program
requirements, and see how these programs can help you advance your current career or break into a new field.
Course 16649
To learn more, visit ucsc-extension.edu/events
Elective Courses
Required Courses
Bioinformatics Tools, Databases
and Methods
This practical course introduces the main public
domain tools, databases and methods used in
bioinformatics, including DNA and protein databases
such as Genbank and PBD, software tools such as
BLAST, and methods for aligning sequences. Topics
include multiple alignment, phylogenetic analysis,
microarrays and system biology. The course emphasizes the needs of the user of bioinformatics tools
and databases, rather than algorithm development
and advanced computational methods. You’ll learn
through computer lab exercises and online demonstrations of databases and Web-based tools. This is
the recommended first course for those wanting
to gain bioinformatics skills.
Course 2447
Statistical Analysis and
Modeling for Bioinformatics
and Biomedical Applications
Biomedical Ethics
This course presents the statistical methods most
frequently used in bioinformatics and biomedical
research. Topics include probability, statistics,
hypothesis testing, confident intervals, t-tests,
analysis of variance, regression analysis, stochastic processes, Markov chains and hidden Markov
models, pairwise alignment using HMMs, Weka,
and Broad and Bayesian approaches. You’ll gain
experience performing statistical analyses using the
R programming language. Examples are drawn from
biomedical applications, such as gene expression
analysis, molecular diagnostics, and evaluation of
new drugs and medical devices. Knowledge
of calculus is recommended but not required.
Course 1032
Experimental Methods
in Molecular Biology
This lecture-based course provides a theoretical
overview of the key molecular biology techniques
used in basic life science research and by the
biotechnology and biopharmaceutical industry for
the discovery of novel therapeutics. Topics include
gene cloning, manipulation and sequencing; PCR;
RNA interference; gene expression analysis; protein
expression, engineering, and structure determination;
and the fundamentals of experimental design.
You’ll also learn about high-throughput sequencing
and microarray expression analysis and the types
of data these techniques generate.
Course 1912
This course provides needed biomedical ethics
education for healthcare providers in all areas.
Course content is divided into four main sections:
(1) moral reasoning: ethical theory, professional
ethics, and ethics in physician-patient relationships;
(2) life beginnings: reproductive technology,
pre-implantation genetic diagnosis, and abortion;
(3) life’s quality: human subject research, healthcare
rights and rationing; enhancement ethics; and
(4) life endings: organ transplants, end-of-life
treatment refusals, and death with dignity. By the
end of the course, you will be able to think critically
about relationships between science and medicine,
biotechnology, and society.
Course 30246
Computational Biology with Java
This introduction to computational biology with Java
programming will prepare you to tackle biological
software problems. The course reviews Java programming and focuses on a sequence of computational
biology projects requiring increasingly sophisticated
programming techniques, including modeling neural
membranes, discrete and statistical models of
biological sequences and simulating genetic drift.
Topics include object-oriented programming; finding
and using available scientific software; numerical
and statistical programming; analysis of algorithms;
and developing a graphical user interface.
Course 0266
DNA Microarrays: Principles,
Applications, and Data Analysis
DNA microarrays have revolutionized molecular
biology and are changing the face of discovery
research and medicine. This course addresses
the underlying principles and applications of the
latest DNA microarray technologies, as well as
the analysis of microarray data. It is intended for
biopharmaceutical professionals, statisticians,
computer scientists and others who are interested
in understanding this important technology.
Course 2183
Courses may be taken individually
or as part of the certificate program.
Courses continue on reverse…
Drug Discovery, Introduction
Perl for Bioinformatics
This introductory course provides a framework
for understanding the process of drug discovery, from
target selection and validation to lead optimization
and preclinical studies. The instructor will address
fundamental and translational principles and the latest
approaches to the tools, technologies and methods
used in discovery and development, along with
strategies for integrating current scientific approaches
into the drug discovery process. You’ll gain an understanding of pharmacokinetics, pharmacodynamics,
toxicology and personalized medicine in drug discovery, including the OMICS technologies, biomarkers
and single nucleotide polymorphism analysis in
patient diagnosis, stratification and monitoring.
This computer lab-based course covers the
fundamentals of Perl programming, with emphasis
on Perl’s use in bioinformatics and biotechnology
research. Lectures address basic operators, string
handling, text processing, control flow, scalar values,
list and array variables, pattern matching, subroutines,
functions, and list manipulation. You’ll learn how
to query and read DNA sequences from Fasta files
and parse GenBank annotations, and PDB files.
You’ll also gain experience writing utility programs
for the analysis of biological data and identifying
important sequence motifs.
Course 4853
Gene Expression and Pathways
This course provides a solid foundation in the
molecular concepts and technologies that are
central to the study of gene expression pathways in
simple cells (prokaryotes) and complex multicellular
organisms. You will learn about abnormalities in gene
expression pathways and how they relate to human
diseases, including viral, immune and metabolic
diseases, as well as cancer. The course also discusses
methods used to manipulate, monitor and analyze
gene expression levels in cells and whole organisms,
and the relevance of these techniques to research,
drug discovery and diagnostic medicine.
Course 6020
Next Generation DNA Sequencing:
Methods and Applications
Next Generation DNA Sequencing (NGS) has
made it possible to sequence a human genome at
an incredibly low cost, vastly expanding the potential
applications of genomics in cancer diagnostics, pathogen identification, forensic human identification and
genetic disease diagnosis. This course begins with
the basics of this revolutionary process and then
delves into specific applications of NGS in research
and clinical settings, covering the primary methods
used for highly parallel sequencing. You will develop
the knowledge needed to perform analyses from
sample prep to generating the final data.
Course 30330
Not printed or mailed at state expense.
611791-1503-2094 (5/15/15)
Course 19971
Sequence Analysis in Bioinformatics,
Advanced
Designed for individuals who already have a solid
grasp of simple alignment and phylogenic analyses,
this course addresses more sophisticated computational methods and algorithms for the analysis of
complex biological sequence data. Lecture topics
include Hidden Markov Models for gene finding
and conducting profile-based searches, probabilistic
methods for phylogenetic analysis, RNA structure
prediction techniques, stochastic context-free
grammars for RNA analysis, and methods for
conducting ultra-fast database searches.
Course 0036
Structure Analysis of
Biological Molecules
The three-dimensional structure of a biological
molecule is a critical determinant of its function.
Understanding this structure is important not only
for the insights it provides about biological systems,
but also for its value in the design of new biopharmaceuticals. Focusing primarily on proteins, this course
addresses the experimental and computational
methods for determining three-dimensional
molecular structures. You’ll explore the concepts
that underlie protein-based drug design.
Course 5925
Explore UCSC Extension’s
Bioscience Programs
Biotechnology
Clinical Trials Design and Management
Medical Devices
Regulatory Affairs
See ucsc-extension.edu/biosciences
for more information.
Earn Two Certificates:
Learn More for Less
Students pursuing the Bioinformatics and
Biotechnology certificates need a minimum
of 30 units, including all required courses
and elective units for both programs. Please
note that in order to complete two certificate
programs with the minimum number of
units, students must select some electives
that are common to both programs.
Contact us at [email protected]
or call (408) 861-3860 if you need more
information or would like assistance creating
a study plan.