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Introduction
to Computational Molecular Biology
(PHSC 820, BIOC
940, PAMM 950B) |
This 2-credit course provides the basic knowledge and
skills needed for the practical use of the Bioinformatics and Molecular Modeling
Tools. (Coordinators: Simon Sherman, Nora
Chapman, Bill Chaney, UNMC) |
Introduction to
Bioinformatics
(PAMM 950, ISQA 4000, ISQA 8080, CSCI 4980) |
This 2-credit course provides a survey of the area of
bioInformatics, which is a combination of molecular biology, genomics, and the
use of computers to process, analyze, store, and retrieve biological
information. This class will combine lectures in the subjects of molecular
biology, computer science, and information science.
(Coordinators: Dr. Donald Johnson, UNMC and Dr. Justin Stolen,
UNO) |
| Selected
Topics: Computational Chemistry and Molecular Modeling
|
This course is intended to familiarize students with some aspects
of the computational chemistry and molecular modeling techniques that may be
used to address various problems related to properties of molecules.
(Instructor: Simon Sherman, UNMC) |
| Computer
Aided Genetic Sequence Analysis |
Emphasizes primarily the hands-on aspect of running
the programs, but with about half the lectures covering aspects of the theory
behind the sequence analysis programs, and the interpretation of the program
results where these results can be ambiguous. (Instructors: Nora Chapman, Bill
Chaney, Eric Haas, UNMC) |
| SeqLab
(GCG's graphical interface) |
An introduction to the user interface. Specific
programs are only covered as examples. Web-based material for this is currently
limited to that included in the GCG User Manual. (Instructor: Eric Haas,
UNMC) |
| Unix |
An introduction for molecular biologists to file and
directory management and printing. (Instructor: Eric Haas, UNMC) |
| Algorithms in biological
sequence analysis. |
This course is about algorithms used in the
manipulation and analysis of biological sequence data, which may be regarded as
strings from a four symbol alphabet (in the case of DNA), or a twenty symbol
alphabet (in the case of proteins). (Instructor: David Jaffe, UNL) |
| Special Topics: Computational Molecular
Biology. |
This course will review current computational
approaches to problems in molecular biology. This course is a companion to one
being taught by David Jaffe in the Math Dept. (see http://www.math.unl.edu/~djaffe/bio.html
for more information). As such, our course will cover different biological
problems and/or different computational approaches than his, while still
strongly emphasizing the biological context of each problem. Potential topics
include, but are not limited to: Comparing multiple DNA sequences at once, DNA
mapping, phylogenetic trees, genome rearrangements, protein structure
prediction, protein function prediction, and probabilistic modeling of data. We
will study algorithmic approaches to the problems we cover as well as approaches
rooted in machine learning, probability, and statistics, e.g. hidden Markov
models, genetic algorithms, and neural networks. (Instructors: Stephen Scott,
Jitender Deogun, UNL) |
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| IUPAC |
International Union of Pure and Applied Chemistry
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| AAnP |
IUPAC-IUBMB nomenclature for amino acids and peptides
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| Carbohydrates |
IUPAC-IUBMB nomenclature for carbohydrates |
| JCBN |
IUPAC-IUB Joint commission on Biochemical
Nomenclature (JCBN) |
| Abbreviations of chemical
compounds |
|
| List of nomenclature
related references for proteins |
from SWISS-PROT |
| HUGO |
Human Gene Nomenclature
Committee |
| NCBI Taxonomy
database |
contains the names of all organisms that are
represented in the genetic databases with at least one nucleotide or protein
sequence |
| BIOSIS Taxonomy &
Nomenclature |
|
| Genetic code
Viewer |
Genetic code viewer at
EBI |
