7th-8th International Conference on Algorithms for Computational Biology

AlCoB 2020 & 2021

Missoula, Montana, USA - November 9-11, 2021

DeepLearn 2022 Summer - 7th International School on Deep Learning

New Dates!: November 9-11, 2021

Deadlines (all at 23:59 CET)

Structure prediction







AlCoB aims at promoting and displaying excellent research using string and graph algorithms and combinatorial optimization to deal with problems in biological sequence analysis, genome rearrangement, phylogeny reconstruction, and structure prediction.

AlCoB 2020 & 2021 will merge the scheduled program for AlCoB 2020, which could not take place because of the Covid-19 crisis, with a new series of papers submitted on this occasion.

Previous events were held in Tarragona, Mexico City, Trujillo (Spain), Aveiro, Hong Kong and Berkeley.

The conference will address several of the current challenges in computational biology, with topics including:

  • ◗ assembling sequence reads into a complete genome,
  • ◗ identifying gene structures in the genome,
  • ◗ recognizing regulatory motifs,
  • ◗ aligning nucleotides and comparing genomes,
  • ◗ reconstructing regulatory networks of genes, and
  • ◗ inferring the evolutionary phylogeny of species.

Special focus will be put on methodology and significant room will be reserved for scholars at the beginning of their career.


Topics of either theoretical or applied interest include, but are not limited to:

  • ◗ Sequence analysis
  • ◗ Sequence alignment
  • ◗ Sequence assembly
  • ◗ Genome rearrangement
  • ◗ Regulatory motif finding
  • ◗ Phylogeny reconstruction
  • ◗ Phylogeny comparison
  • ◗ Structure prediction
  • ◗ Compressive genomics
  • ◗ Proteomics: molecular pathways, interaction networks, mass spectrometry analysis
  • ◗ Transcriptomics: splicing variants, isoform inference and quantification, differential analysis
  • ◗ Next-generation sequencing: population genomics, metagenomics, metatranscriptomics, epigenomics
  • ◗ Genome CD architecture
  • ◗ Microbiome analysis
  • ◗ Cancer computational biology
  • ◗ Systems biology


AlCoB 2020 & 2021 will take place in Missoula, Montana, a college town located in the heart of the Rocky Mountains, near Glacier National Park and Yellowstone National Park. The meeting will be hosted in the University Center, a few hundred feet from the base of Mount Sentinel.


AlCoB 2020 & 2021 will consist of:

  • ◗ invited lectures
  • ◗ peer-reviewed contributions
  • ◗ posters


Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

Upload submissions to: https://easychair.org/conferences/?conf=alcob20202021


A volume of proceedings published by Springer in the LNCS/LNBI series will be available by the time of the conference.

Authors should consult Springer’sauthors’ guidelines and use their proceedings templates, either for LaTeX or for Word , for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Lecture Notes in Bioinformatics (Time-limited free online access).

A special issue of IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019 JCR impact factor: 2.85) will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.


The registration form can be found at: https://irdta.eu/alcob2020-2021/registration/

Questions and further information

David Silva: david@irdta.eu


Department of Computer Science