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Selected papers from WABI 2020

New Content ItemEdited by Carl Kingsford and Nadia Pisanti

Algorithms for Molecular Biology is proud to publish the extended proceedings of WABI 2020. The conference's scope is:

"WABI is an international Conference covering 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 provide evidence of their potential usefulness in practice, preferably by testing on appropriately chosen simulated or 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. With an increasing number of patient-derived xenograft (PDX) models being created and subsequently sequenced to study tumor heterogeneity and to guide therapy decisions, there is a similarly increasing need fo...

    Authors: Jens Zentgraf and Sven Rahmann

    Citation: Algorithms for Molecular Biology 2021 16:2

    Content type: Research

    Published on:

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