Literature DB >> 29394324

Modeling biological problems in computer science: a case study in genome assembly.

Paul Medvedev.   

Abstract

As computer scientists working in bioinformatics/computational biology, we often face the challenge of coming up with an algorithm to answer a biological question. This occurs in many areas, such as variant calling, alignment and assembly. In this tutorial, we use the example of the genome assembly problem to demonstrate how to go from a question in the biological realm to a solution in the computer science realm. We show the modeling process step-by-step, including all the intermediate failed attempts. Please note this is not an introduction to how genome assembly algorithms work and, if treated as such, would be incomplete and unnecessarily long-winded.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  bioinformatics; computer science; education; tutorial

Mesh:

Year:  2019        PMID: 29394324     DOI: 10.1093/bib/bby003

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  4 in total

1.  Assembler artifacts include misassembly because of unsafe unitigs and underassembly because of bidirected graphs.

Authors:  Amatur Rahman; Paul Medvedev
Journal:  Genome Res       Date:  2022-07-27       Impact factor: 9.438

2.  Representation of k-Mer Sets Using Spectrum-Preserving String Sets.

Authors:  Amatur Rahman; Paul Medevedev
Journal:  J Comput Biol       Date:  2020-12-07       Impact factor: 1.479

3.  Trace Reconstruction Problems in Computational Biology.

Authors:  Vinnu Bhardwaj; Pavel A Pevzner; Cyrus Rashtchian; Yana Safonova
Journal:  IEEE Trans Inf Theory       Date:  2020-10-13       Impact factor: 2.978

4.  Ten Simple Rules for writing algorithmic bioinformatics conference papers.

Authors:  Paul Medvedev
Journal:  PLoS Comput Biol       Date:  2020-04-02       Impact factor: 4.475

  4 in total

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