Welcome to HiTSeq 2017HiTSeq is an ISMB 2017 special interest group track 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 applications in multiple areas of biology that HTS is transforming. HiTSeq seeks full paper submissions to be peer-reviewed. If accepted, these contributions will be presented at the conference and published on a online proceedings volume. HiTSeq 2017 will also host three keynotes by leaders in the field, and three topical sessions on Long Read and Long Range Sequencing, Non-Linear Genome Representations, and Single-cell Sequencing Applications. Short abstract submissions will be also accepted to be selected for either brief oral presentations or posters.
Topics of Interest
Special Track on: Long read and long range sequencing and mapping techniquesDifferent sequencing technologies show different strengths and biases in terms of cost, read length, base pair calling accuracy, and error profile. Therefore, in practice, the use of short and long reads have different applications. Additionally, new library preparation techniques were developed recently, such as Illumina TSLR, 10X Genomics, Dovetail Genomics, CPT-Seq, and pooled clone sequencing. It is possible to obtain long range contiguity information using these methods without modifying the sequencing technology itself. Although short read sequencing data analysis has been studied extensively over the last decade, there is still a pressing need for new algorithms to handle both new types of data and error models presented by long read and long range sequencing technologies. Our keynote speaker for this session is Dr. Adam Phillippy, National Human Genome Research Institute, United States.
Other Topics of InterestIn addition to the two special topics, we also seek contributions on the following topics:
Transcriptome Analysis; Genetics and Epigenetics Variation; Metagenomics And Microbiome Analysis; Genome Assembly and Haplotype Phasing; New Platform Data
Special Track on: Non-linear genome representationsThe era of population-scale genomics promises new and exciting ways to explore complex biological relationships. The increase of sample sizes and change of data modalities have transformed the computational requirements. New algorithms and data structures to efficiently store, update and compute on large and complex genomic data sets will be the key to new biological insight. We would like to invite submissions of algorithmic solution, which try to leverage non-linear representation of genomes to address these challenges. Our keynote speaker for this session is Prof. Veli Mäkinen, University of Helsinki, Finland.
Special Track on: Single Cell Sequencing ApplicationsWith the increasing availability of methods to isolate and sequence single-cells, there is a need for normalization and analysis techniques to make sense of sparse and often extremely noisy single cell data sets. Single cell RNA-seq data are now widely used to track cell differentiation processes and characterize heterogeneous cell populations within normal and cancer tissues. Single cell ChIP-seq and ATAC-seq experiments allow getting insights into the heterogeneity of the regulatory landscapes. Single cell genome sequencing provides information about clonal evolution within the same tumor and may have clinical applications. This diversity in applications demands new algorithms and analytical approaches to better mine this data. Our keynote speaker for this session is Dr. Oliver Stegle, European Bioinformatics Institute, United Kingdom.