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Ramapo College Bioinformatics Group GRSDB - The 'G'-Rich Sequences Database |
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Please Cite:
GRSDB: a database of quadruplex forming G-rich sequences in alternatively processed mammalian pre-mRNA sequences.
Rumen Kostadinov, Nishtha Malhotra, Manuel Viotti, Robert Shine, Lawrence D'Antonio and Paramjeet Bagga. Nucleic Acids Res. 2006 Jan 1;34 Database Issue: D119-D124.
| Co-Principle Investigators/Research Mentors: | |
| Dr. Paramjeet Bagga | pbagga@ramapo.edu |
| Dr. Lawrence D'Antonio | ldant@ramapo.edu |
| Dr. Robert Shine | bshine@ramapo.edu |
Undergraduate Students:
Rumen Kostadinov: Database design, GUI and computational programs.
Nishtha Malhotra:
Database GUI, computational programs and dynamic graphics.
Manuel Viotti: Testing, maintenance, data upload and data analysis.
Website design credits:
Nishtha Malhotra
Rumen Kostadinov
Debora Prado
Acknowledgements:
In the past, several Ramapo College undergraduate students have helped perform preliminary analysis of ‘G'-Rich sequences (GRS) in mammalian nucleotide sequences. The results of their investigations helped us design the current project on QGRS. Their achievements are described below:
Most notable are: Garrett Dancik (currently a doctorate student at University of Iowa), who designed a C++ based prototype program for ‘G'-Rich sequence analysis; Carolina Cabral (currently a medical student at UMDNJ) and Maryum Kazmi, who used the prototype to perform the preliminary analysis. Before the development of computational tools, Harshani Peiris (currently working at the University of Pennsylvania ) helped perform manual preliminary analysis of a number of nucleotide entries.
Several other Ramapo College students helped out with manual preliminary analysis. They include: Rajintha Bandarnayake (currently a doctorate student at University of Massachusetts ), Michael Johnson, Garo Mimarayan, Anabella Moharita (currently a medical student at UMDNJ), Sophia Riccardi-Weise (currently a graduate student at Columbia University ) and Maggie Touleughian.
Sneha Bhatia initiated a survey of functions of the gene entries in GRSDB.
At this point our database does not contain such information. We hope to include such data in GRSDB
sometime in the future.
We thank Fatima Iqbal, currently an MD student at St. George's Medical School, Grenada, for uploading some data during spring of 2005. We also like to thank Rachel Howitt, currently freshmen at the University of Pennsylvania, for assistance with data uploading during the summer of 2005.
We thank Marcelo Halpern for technical assistance with the database server.
This project was funded in part by the Provost Office and TLTR ( The Teaching, Learning and Technology Roundtable) of Ramapo College of New Jersey.
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