HiTSeq 2017 Accepted papers announced

HiTSeq, an ISMB 2017 special interest group satellite conference focused to the latest advances in computational techniques for the analysis of high-throughput sequencing data has announced the list of accepted papers. HitSeq 2017, High Throughput Sequencing Algorithms and Applications, will be held in Prague, Check Republic on July 24-25, 2017, just before ISMB/ECCB 2017 begins. And it hosts three keynote speakers Adam Phillippy, National Human Genome Research Institute, United States, Veli Mäkinen, University of Helsinki, Finland and Oliver Stegle, European Bioinformatics Institute, United Kingdom.
HiTSeq 2017 Accepted Papers

HiTSeq 2017 Accepted Papers

Here is a list of accepted papers
  • Xu Min, Wanwen Zeng, Ning Chen, Ting Chen and Rui Jiang. Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding.
  • Jing Guo and Jie Zheng. HopLand: Single-cell pseudotime recovery using continuous Hopfield network based modeling of Waddington’s epigenetic landscape.
  • Guillaume Marçais, David Pellow, Daniel Bork, Yaron Orenstein, Ron Shamir and Carl Kingsford. Improving the performance of minimizers and winnowing schemes.
  • Yohei Rosen, Jordan Eizenga and Benedict Paten. Modelling haplotypes with respect to reference cohort variation graphs.
  • Martina Fischer, Benjamin Strauch and Bernhard Y. Renard. Abundance estimation and differential testing on strain level in metagenomics data.
  • Prashant Pandey, Michael A. Bender, Rob Johnson and Rob Patro. deBGR: An Efficient and Near-Exact Representation of the Weighted de Bruijn Graph.
  • Mohsen Zakeri, Avi Srivastava, Fatemehalsadat Almodarresi TS and Rob Patro. Improved Data-Driven Likelihood Factorizations for Transcript Abundance Estimation.
  • Gryte Satas and Benjamin Raphael. Tumor Phylogeny Inference Using Tree-Constrained Importance Sampling.
  • P?nar Kavak, Yen-Yi Lin, Ibrahim Numanagi?, Hossein Asghari, Tunga Güngör, Can Alkan and Faraz Hach. Discovery and genotyping of novel sequence insertions in many sequenced individuals.

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