RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Ming-Ying Leung to Base Sequence

This is a "connection" page, showing publications Ming-Ying Leung has written about Base Sequence.
Connection Strength

0.195
  1. Karlin S, Morris M, Ghandour G, Leung MY. Algorithms for identifying local molecular sequence features. Comput Appl Biosci. 1988 Mar; 4(1):41-51.
    View in: PubMed
    Score: 0.067
  2. Karlin S, Morris M, Ghandour G, Leung MY. Efficient algorithms for molecular sequence analysis. Proc Natl Acad Sci U S A. 1988 Feb; 85(3):841-5.
    View in: PubMed
    Score: 0.066
  3. Zhang B, Yehdego DT, Johnson KL, Leung MY, Taufer M. Enhancement of accuracy and efficiency for RNA secondary structure prediction by sequence segmentation and MapReduce. BMC Struct Biol. 2013; 13 Suppl 1:S3.
    View in: PubMed
    Score: 0.025
  4. Leung MY, Blaisdell BE, Burge C, Karlin S. An efficient algorithm for identifying matches with errors in multiple long molecular sequences. J Mol Biol. 1991 Oct 20; 221(4):1367-78.
    View in: PubMed
    Score: 0.021
  5. Chew DS, Leung MY, Choi KP. AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions. BMC Bioinformatics. 2007 May 21; 8:163.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support