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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. 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

    Content type: Research

    Published on:

  2. 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

    Content type: Research

    Published on: