Published 1998 | Version Published
Journal Article Open

Recent Developments in Computational Gene Recognition

Abstract

We survey recent mathematical and computational work in the field of gene recognition, focusing on the techniques that have been developed to tackle the problem of identifying protein coding regions in genes. We also present a new approach to gene recognition which is based on a variety of tools we have developed.

Additional Information

© 1998 Documenta Mathematica. We thank Eric Banks, William Beebee, John Dunagan, Nick Feamster, Aram Harrow, Julia Lipman, Valentin Spitkovsky, Tina Tyan and Bill Wallis for helping in countless ways with the implementation of the ideas outlined in this paper. This project has been supported by Merck. Pachter has been partially supported by an NIH training grant and a Program in Mathematics and Molecular Biology graduate fellowship.

Attached Files

Published - 3Berger.MAN.ps

Files

Files (213.6 kB)

Name Size
md5:edbb75dc24060cb060fe181a9d2ded1d
213.6 kB Download

Additional details

Identifiers

Eprint ID
74996
Resolver ID
CaltechAUTHORS:20170309-142440565

Funding

Merck
NIH Predoctoral Fellowship
Program in Mathematics and Molecular Biology

Dates

Created
2017-03-10
Created from EPrint's datestamp field
Updated
2020-03-09
Created from EPrint's last_modified field