Secondary Structure Alignment

Secondary Structure Alignment is a computational method that aligns RNA or protein sequences based on their predicted or experimentally determined secondary structural elements, such as helices, loops, and stems, thereby preserving structural homologies that may not be evident from primary sequence similarity alone.

143

Publications

14.6K

Citations

453

Authors

238

Institutions

Publications per year

2017–2026

12

Authors

453

  1. DH
    David H. Mathews

    University of Rochester Medical Center, United States

    5 publications · 519 citations

    6

    h-index

  2. RG
    Robert Giegerich

    Bielefeld University, Germany

    4 publications · 300 citations

    4

    h-index

  3. TD
    Thomas Dandekar

    University of Würzburg, Germany

    4 publications · 854 citations

    4

    h-index

  4. GJ
    Geoffrey J. Barton

    University of Dundee, United Kingdom

    4 publications · 700 citations

    4

    h-index

  5. KA
    Kiyoshi Asai

    The University of Tokyo, Japan

    4 publications · 145 citations

    4

    h-index

1–5 of 453

Venues

  1. Bioinformatics

    18 publications · 1.3K citations

    16

    h-index

  2. BMC Bioinformatics

    11 publications · 1.2K citations

    10

    h-index

  3. Nucleic Acids Research

    9 publications · 706 citations

    9

    h-index

  4. Proteins Structure Function and Bioinformatics

    7 publications · 430 citations

    7

    h-index

  5. PubMed

    Repository · 7 publications · 423 citations

    7

    h-index

1–5