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Selected papers from WABI2019

New Content ItemEdited by Katharina Huber and Dan Gusfield

Algorithms for Molecular Biology is proud to publish the extended proceedings of WABI 2019. The conference's scope is:

"All research in algorithmic work in bioinformatics, computational biology and systems biology. The emphasis is mainly on discrete algorithms and machine-learning methods that address important problems in molecular biology, that are founded on sound models, that are computationally efficient, and that have been implemented and tested in simulations and on real datasets. The goal is to present recent research results, including significant work-in-progress, and to identify and explore directions of future research."

This collection of articles has not been sponsored and articles have undergone the journal’s standard peer-review process. The Guest Editors declare no competing interests.

View all collections published in Algorithms for Molecular Biology.

  1. Simultaneous alignment and folding (SA&F) of RNAs is the indispensable gold standard for inferring the structure of non-coding RNAs and their general analysis. The original algorithm, proposed by Sankoff, solv...

    Authors: Milad Miladi, Martin Raden, Sebastian Will and Rolf Backofen
    Citation: Algorithms for Molecular Biology 2020 15:19
  2. Most modern seed-and-extend NGS read mappers employ a seeding scheme that requires extracting t non-overlapping seeds in each read in order to find all valid mappings under an edit distance threshold of t. As t g...

    Authors: Hongyi Xin, Mingfu Shao and Carl Kingsford
    Citation: Algorithms for Molecular Biology 2020 15:10
  3. Transcriptomic structural variants (TSVs)—large-scale transcriptome sequence change due to structural variation - are common in cancer. TSV detection from high-throughput sequencing data is a computationally c...

    Authors: Yutong Qiu, Cong Ma, Han Xie and Carl Kingsford
    Citation: Algorithms for Molecular Biology 2020 15:9
  4. Recent large-scale community sequencing efforts allow at an unprecedented level of detail the identification of genomic regions that show signatures of natural selection. Traditional methods for identifying su...

    Authors: Jarno Alanko, Hideo Bannai, Bastien Cazaux, Pierre Peterlongo and Jens Stoye
    Citation: Algorithms for Molecular Biology 2020 15:2
  5. Estimated gene trees are often inaccurate, due to insufficient phylogenetic signal in the single gene alignment, among other causes. Gene tree correction aims to improve the accuracy of an estimated gene tree ...

    Authors: Sarah Christensen, Erin K. Molloy, Pranjal Vachaspati, Ananya Yammanuru and Tandy Warnow
    Citation: Algorithms for Molecular Biology 2020 15:1