HiTSeq 2020

Welcome to HiTSeq 2021

HiTSeq is the yearly gathering of the ISCB Community of Special Interest in High Throughput Sequencing algorithms. This meeting takes the form of a topical track at the ISMB-ECCB 2021 Conference, and is devoted to the latest advances in computational techniques for the analysis of high-throughput sequencing (HTS) data. It provides a forum for in depth presentations of novel algorithms, analysis methods, and methods enabling applications in multiple areas of biology that HTS is transforming.
Due to the COVID-19 pandemic, HiTSeq 2021 is going virtual  with the rest of ISMB-ECCB 2021! We will use a remote presentation platform for the keynotes and talks selected from both proceedings and abstracts with virtual session chair moderation and Q&A. We will also have a system ready for poster presentations with pre-recorded short presentation videos. We strongly encourage everyone to submit abstracts for talk and poster selections. Please keep following our Twitter account for more announcements.

Call for Submissions

  • Types of Contributions

    HiTSeq seeks full-length original paper submissions to be peer-reviewed. If accepted, these contributions will be presented at the conference and published as part of the ISMB proceedings. Short abstract submissions will be also accepted to be selected for either brief oral presentations or posters.
  • Focus of Submissions

    HiTSeq focus is at the intersection of the sequencing data and the applications this technology enables. Due to the massively parallel data generation, the huge volumes that the latest platforms deliver, and the continually decaying cost, this technology has been using in novel ways, well beyond its nucleic acid sequencing capabilities. New single molecule sequencing platforms are starting to deliver very long reads that enable discovery of new forms of genome variation. With these innovations new methodological aspects and errors are generated and need to be managed.

  • Topics of Interest

    Applications of HTS range from genome sequencing and assembly, genetic variation analysis, cancer genomics, transcriptomics, epigenetics, metagenomics, and general sequence analysis algorithms, in particular those where new sequence technologies such as single molecule/long reads are used and novel data analysis modalities are applied. We thus seek contributions where algorithms and methods that take HTS data and convert this into a biological signal.