HiTSeq 2018

Welcome to HiTSeq 2018

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 2018 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.

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, to gene expression, to metagenomics, to clinical diagnostics, chromatic conformation, structural biology, and even brain connectivity mapping. We thus seek contributions where algorithms and methods that take HTS data and converts this into a biological signal are presented.

    Topics of interest include, but are not limited to:

    Human genome analysis; Genetic variant identification; Cancer genome profiling; Genome assembly and haplotype phasing, Transcriptome Analysis; Chromatin structure & remodeling; Single-cell analysis; Epigenetic Variation; Metagenomics analysis; Alignment and variant calling using non-linear genome representations; Privacy-preserving sequencing and genome variant sharing; and Analysis of new sequencing platform data.