Physical Biosciences Division
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Physical Biosciences Division |
(These opportunities are available through Undergraduate Fellowship Programs administered by the Center for Science & Engineering Education. If interested, application must be made through the appropriate program, see the CSEE College & University Programs web page).
Structural and Computational Biology
X-ray Cystallography Beamline
High Throughput Protein Crystallography
*High Throughput Protein Crystallography*
Dr. Li-Wei Hung's group at the Lawrence Berkeley National Laboratory
plans to host summer students to work on high throughput
protein crystallography, biochemistry lab work and general wet laboratory
tasks.
These tasks include database inputting, surfing and compiling, learning protein crystallization using hand held tools and/or robots, plate
viewing for crystals, possibly learning protein purification if needed (PCR, gel electrophoresis, cell growth, Western blot or dot blot analysis, UV,FPLC and etc.), occasional lab supply inventory, and other lab assistance. We will provide opportunities for students to learn crystal harvesting if interested. Software writing may be a part of the position.
Mentor's name: Minmin Yu
Mail stop: 4R0230
Phone:510-486-5484
email: MYu@lbl.gov
Revised: February 1, 2007
This group is working on Structural Biology (crystallography) and Bioinformatics-Computational Biology including RNA and protein structure, RNA and protein function, RNA genomics, and protein-RNA and protein-protein interactions.
There are two possible positions for a student in this group: (1) biochemistry (2) bioinformatics. A student in this group will (depending on whether s/he is a biochemist or computer scientist):
1) Assist a PhD biochemist in purification and crystallization of proteins and/or RNA
or
2) Under supervision, apply computational methods to problems in molecular biology.
A biochemistry student can expect to learn biochemistry lab techniques (sterile technique, bacterial cell culture, column chromatography, gel electrophoresis, sonication, centrifugation, ultrafiltration, thin layer chromatography, PCR, Northern analysis) and crystallization.
A computational biology student can expect to learn bioinformatics methods including machine-learning and graph-theoretic methods.
Majors:
1) Biochemistry, molecular biology, chemistry
2) Computer science, bioinformatics, engineering
?The following background/skills are useful for a successful placement:
1) Basic laboratory skills (how to make molar solutions, use of balances, pipetting)
2) Basic computer skills (i.e. word processing, WWW, Excel, etc.) and knowledge of common operating systems and languages (i.e. Linux, programming, C++, Java, PERL)
Mentor: Stephen R. Holbrook
Mail stop: 64RO121
Phone: 510-486-4304
Email: srholbrook@lbl.gov
Holbrook lab webpage: http://www.lbl.gov/~steveh
Student Research Abstract; Summer, 2005
Posted: February 1, 2007
This group is running an X-ray crystallography beamline at the Advanced Light Source (ALS) ALS. They have a variety of potential research opportunities,
including
1) general structural biology research - the group is primarily
interested in DNA repair proteins. Work would include crystallizing
protein, taking and analyzing data.
2) beamline automation - mostly writing computer scripts to increase user
efficiency
at the beamline
3) study problems related to data collection and analysis. They have a number
of theories as to why users can make any sense of their data a large fraction
of the time. They have done some preliminary studies, but need to extend them.
This would involve data collection, and analysis, and then figuring out
what computer programs to write to make sense of whatever information they get.
Depending on the project the student would be involved in
crystallization, data collection and analysis, and programming.
The group is looking for anyone with a scientific or computer background who would
be interested in this kind of work.
Mentor: Ken Frankel
Mail stop: 74-157
Phone: 510-495-2134
kafrankel@lbl.gov
Posted 12/12/2005
To learn more at the Physical Biosciences Division, visit the PBD Website
This page was last modified on 11 January 2008