ポスター発表
| ポスター発表 |
| 日時：9/29（木）17:00-18:30（奇数番号）、9/30（金）14:00-15:30（偶数番号） |
| 会場：プラザ平成 ポスター会場１～３ |
- Hisaki Ikebata, Kenta Hongo, Tetsu Isomura, Ryo Maezono and Ryo Yoshid. Bayesian design of bioactive molecules with a chemical language model.
- Manato Akiyama, Yasubumi Sakakibara and Kengo Sato. Improving RNA secondary structure prediction with weak label learning from NGS data Paper.
- Tsukasa Nakamura and Kentaro Tomii. A novel method for large-scale structural comparison of protein pockets based on a reduced vector representation.
- Michio Iwata, Ryusuke Sawada, Masaaki Kotera and Yoshihiro Yamanishi. Pathway-based drug repositioning by chemically-induced transcriptomics: computational prediction and experimental validation.
- Ryusuke Sawada, Michio Iwata, Yasuo Tabei and Yoshihiro Yamanishi. Genome-wide prediction of inhibitory and activatory effects for drug candidate compounds from chemically-induced transcriptome data by a multitask learning with gene perturbation similarity.
- Hiroki Sudo, Masanobu Jimbo, Koji Nuida and Kana Shimizu. Secure String Pattern Match Based on Wavelet Matrix.
- Stephen Wu, Terumasa Tokunaga, Osamu Hirose, Yu Toyoshima, Takayuki Teramoto, Yuishi Iwasaki, Takeshi Ishihara, Yuichi Iino and Ryo Yoshida. Whole Brain Imaging of Caenorhabditis Elegans x Machine Learning.
- Hirotaka Matsumoto, Hisanori Kiryu and Itoshi Nikaid. Inference of gene regulatory network and drivers of differentiation from time-course single-cell RNA-Seq.
- Ibuki Mishina and Michiaki Hamada. Implementation and evaluation of privacy-preserving HMM using homomorphic encryption toward disease risk estimation.
- Masanobu Jimbo, Hiroki Sudo and Kana Shimizu. Towards Secure Matchmaker Exchange, Secure Similarity Evaluation Using Minhash.
- Kakeru Sakabe, Jiyoung Kang and Masaru Tateno. Development and Application of Algorithms to Identify Functionally-Clustered Genes in Eukaryotic Genomes.
- Akifumi Yamashita, Tsuyoshi Sekizuka and Makoto Kuroda. Virus genome-targeted assembly pipeline: VirusTAP.
- Masakazu Kohda, Yoshihito Kishita, Yosuke Mizuno, Atsuko Imai, Akihiro Nakaya, Tomoko Hirata, Yukiko Yatsuka, Nurun Borna, Hiroko Harashima, Kei Murayama, Akira Ohtake and Yasushi Okazaki. Genetic analysis of mitochondrial disorder.
- Hayato Anzawa and Kengo Kinoshita. Model based discrimination method of ChIPed data from control data in ChIP-seq experiment dataset.
- Genki Yoshikawa, Romain Blanc-Mathieu, Hiroyuki Ogata and Takashi Yamada. A preliminary characterization of the genome of XacN1, a giant phage infecting the citrus canker agent Xanthomonas citri.
- Ryohji Takano, Masato Kitajima, Yuji Kondo, Sei Miyamoto, Michihiko Aki and Masamichi Ishii. Efficient management system of variant annotation for clinical sequencing.
- Naoki Osato. Prediction of transcriptional target genes and its association with their functional enrichments..
- Kanatomo Tatsuno and Wataru Iwasaki. miRNAs of the tumor-resistant rodent, the naked mole rat.
- Yasuhiro Kojima and Hisanori Kiryu. Detection of Selected SNVs in Experimental Evolution by Fitting a Mathematical Model of Population Gentics to Sequencing Data.
- Toshiyuki Tsuji, Atsushi Hijikata, Takao Yoda and Tsuyoshi Shirai. Prediction of disease related supramolecule models using GWAS data.
- Hiroki Nishiyama, Susumu Goto, Tomoyuki Nagai, Yoshihisa Okazaki, Toshiharu Sakurai and Hiroyuki Ogata. Investigation of Mouse Gut Microbiota Affected by Elental and Lipacreon.
- Shunichi Kosugi and Yoichiro Kamatani. Comprehensive evaluation of strucutral variation calling tools and development of an integrated pipeline for merging calling results.
- Tetsushi Yada, Takeaki Taniguchi, Takuma Irie and Yutaka Suzuki. Functional dissection of human promoters at single-base resolution and its application to rational design of promoter sequences.
- Shion Hosoda, Tsukasa Fukunaga and Michiaki Hamada. 16S rRNA-based metagenomic analysis using Latent Dirichlet Allocation.
- Marina Yamasawa, Tomoya Fujii, Kota Goto, Masahito Ohue, Takashi Ishida, Kazuyuki Ishihara and Yutaka Akiyama. GPU/MPI Parallelization of Metagenomic Sequence Homology Search Tool and Its Application to Oral Metagenomics.
- Tomoyuki Mikami and Wataru Iwasaki. Evaluation of Floral Pareto Optimality under Pollinator Mediated Trade-Offs.
- Makoto Shimada and Tsunetoshi Nishida. Modification of bootstrapping on a classic package of programs for molecular evolution.
- Ayana Tsuji and Yoichi Yamada. Improvement of MIMGO: a gene set analysis to identify differentially expressed gene sets in a gene expression dataset.
- Yuichi Aoki, Takeshi Obayashi and Kengo Kinoshita. Impact of evolutionary age on gene coexpression network architecture.
- Shu Tadaka and Kengo Kinoshita. Development and application of a simple yet flexible framework for construction of gene-pair relationship database.
- Tetsu Nishida and Toshinori Endo. Comparative analysis of candidate gene for liver disease related to HBV infection based on network analysis.
- 発表取り下げ
- Satoshi Inada, Satomi Kamimura, Yoshikazu Nishikawa and Eriko Kage-Nakadai. Gene expression profiling by CAGEr for C. elegans in response to bacterial infection.
- Abm Shamim Ul Hasan and Hiroyuki Kurata. Memory Module in Stochastic Environment of Gene Regulatory Network.
- Alexis Vandenbon. Analysing cell type-specific gene networks using Immuno-Navigator.
- Tsukasa Fukunaga and Michiaki Hamada. RIblast: A high-speed RNA-RNA interaction prediction system for comprehensive lncRNA interactome analysis.
- Xiufeng Yang, Kazuki Yoshizoe, Akito Taneda and Koji Tsuda. Monte Carlo Tree Search for RNA Inverse Folding.
- Akito Taneda and Kengo Sato. Inverse folding of two interacting RNA molecules.
- Shimpei Nishida, Shun Sakuraba and Michiaki Hamada. Estimation of RNA free-energy parameters for Watson-Crick stacked base-pairs using both computational and experimental approaches.
- Taichi Hagio, Shun Sakuraba and Kiyoshi Asai. Prediction of RNA quasi-stable secondary structures.
- Takafumi Chishima and Michiaki Hamada. Transposable element (TE) derived sequences in human lncRNAs.
- Jun Nakayama, Emi Ito, Jiro Fujimoto, Shinya Watanabe and Kentaro Semba. Transcriptome analysis of early metastasis using breast cancer cells established by orthotopic transplantation.
- Yuki Moriya, Akiyasu C. Yoshizawa, Tsuyoshi Tabata, Shin Kawano, Shujiro Okuda, Yu Watanabe, Tadashi Yamamoto, Masaki Matsumoto, Tomoyo Takami, Daiki Kobayashi, Norie Araki, Naoyuki Sugiyama, Susumu Goto and Yasushi Ishihama. jPOST: repository and re-analysis protocol.
- Taikai Takeda and Michiaki Hamada. Model Selection for Pairwise Hidden Markov Model.
- Kyungtaek Lim and Kentaro Tomii. ARELIA: A Novel Method for Masking Large Multiple Sequence Alignments.
- Matsuyuki Shirota and Kengo Kinoshita. Discrepancies between human reference genome, mRNA and protein sequences and their relation to single nucleotide variants.
- Yuki Ueno and Michiaki Hamada. Model selection for mutation signature.
- Masanori Yamanaka. Random matrix theory in proteogenesis.
- Taku Matsubara and Hiroaki Kato. Development of the Protein-Gene Sequence Motif Extraction System based on EM algorithm.
- Atsushi Kurotani, A. Alexander Tokmakov, Yutaka Yamada, Kazuo Shinozaki and Tetsuya Sakurai. Correlations between protein disorder and post-translational modifications in angiosperms and algae.
- Kazunori Yamada, Yoshinori Matsuura, Koshioro Nakai, Yoshinori Fukasawa, Hisashi Naitow, Naoki Kunishima and Kentaro Tomii. Improving protein crystallization based on the results of statistical analysis of crystal contacts.
- Masahito Ohue, Yuki Yamamoto, Hiroyuki Sato, Takashi Matsushita and Yutaka Akiyama. MEGADOCK-Azure: High-performance protein-protein interaction prediction system on Microsoft Azure HPC.
- Masashi Tsubaki. Representation Learning and Deep Architectures for Protein Fold Recognition and Residue Contact Prediction.
- Hiroyuki Fukuda. Protein Secondary Structure Prediction Using Machine Learning And Emsamble Method.
- Shunsuke Nishiyama, Shintaro Minami and George Chikenji. New rules for beta sheet topology of protein structures.
- Yoichi Murakami and Kenji Mizuguchi. Prediction of interacting protein pairs using a homology-based approach.
- Takanori Hayashi, Kazuki Nagasawa, Yuri Matsuzaki, Masahito Ohue and Yutaka Akiyama. MEGADOCK-WEB: a database of predicted protein-protein interactions and its web interface.
- Mitsuhito Wada, Yoshifumi Fukunishi and Haruki Nakamura. GPCR/Membrane Model Builder for Molecular Dynamics Simulation.
- Kota Goto, Kota Kasahara, Masahito Ohue, Haruki Nakamura and Yutaka Akiyama. Accelerating SHAKE Calculation of myPresto/omegagene Molecular Dynamics Simulation on CPU/GPU heterogeneous environment.
- Tadaaki Mashimo, Mitsuhito Wada, Yoshinori Wakabayashi, Yoshifumi Fukunishi and Haruki Nakamura. Scalability and performance of applications on cloud computing: virtual screenings and MD simulations of myPresto suite.
- Takuya Sumi, Hiroshi Yamaguchi, Ryuichiro Terada, Jiyoung Kang and Masaru Tateno. Broad-range applicability of molecular docking calculation of ligand and receptor by optimizing configurational and conformational sampling spaces.
- Tomoki Yonezawa, Tomomi Komaba and Miki Maeda. Reliable information for development of 3D-structures based on literatures?
- Atsushi Hijikata, Masafumi Shionyu and Tsuyoshi Shirai. A new approach for protein-ligand binding predictions based on matching of vector-represented amino acid residues.
- Kazuki Yamamoto, Yoshitaka Moriwaki, Keita Oda, Masahito Ohue, Itsuo Nakane, Ryunosuke Yoshino, Hayase Hakariya, Tadaaki Mashimo, Mitsuhito Wada and Yoshifumi Fukunishi. Human insight in drug discovery: docking pose selection in protein-ligand docking and hit-compounds selection in structure-based virtual screening.
- Keisuke Yanagisawa, Shunta Komine, Shogo Suzuki, Masahito Ohue, Takashi Ishida and Yutaka Akiyama. ESPRESSO: An ultrafast compound pre-screening method based on compound segmentation.
- Mika Miyagaki, Ei Itou, Murasaki Kasuga, Minori Kominato, Masami Ikeda and Makiko Suwa. Ligand prediction of orphan GPCRs based on physicochemical characters of ligand binding pocket.
- Naoto Kakami and Takashi Ishida. Prediction of Protein-Ligand Binding Sites Using 3D Convolutional Neural Networks.
- Yusuke Matsuyama and Takashi Ishida. Improvement of ligand-based virtual screening by introducing pharmacophore fingerprint.
- Shogo Suzuki, Masahito Ohue and Yutaka Akiyama. Learning to Rank with Ignoring Meaningless Order and Its Application to Virtual Screening for Drug Discovery.
- Mitsuaki Soga and Takashi Ishida. Improvement of NTDs drug target protein selection by learning to rank.
- Hiroyuki Yamamoto. Peak grouping based on graph clustering with a peak gap penalty.
- Y-H. Taguchi. PCA based unsupervised FE applied to bioinformatic analysis.
- Yurie Sugimoto, Nusrat Jahan, Kazuhiro Maeda, Yu Matsuoka and Hiroyuki Kurata. Improvement of a large-scale kinetic model of E. coli central carbon metabolism.
- Teppei Ogawa, Hiroki Makiguchi and Michihiro Araki. Development of Design Platform for Metabolic Pathways.
- Takeshi Kawashima, Nilmini Hettiarachchi and Masanori Arita. Comparative Evolutionary Genomics To Evolutionary Metabolomics.
- Satoshi Mizuno, Soichi Ogishima, Hidekazu Nishigori, Satoshi Nagaie, Kazuro Shimokawa, Takako Takai, Nobuo Yaegashi and Hiroshi Tanaka. The Pre-eclampsia Ontology: a disease ontology representing the domain knowledge specific to pre-eclampsia.
- Emiko Ushiyama and Wataru Iwasaki. Bibliometric analysis toward endemic disease studies using bioinformatic approaches.
- Katsuhiko Murakami. A tool and analyses of citation network.
- Toru Nagasaka. Deep Learning for Detection and Classification of Nuclei in Routine Cytological Images.
- Shunsuke Teraguchi and Yutaro Kumagai. Estimation of Diffusion Constants from Single Molecular Measurement without Explicit Tracking.
- Jiyoung Kang and Masaru Tateno. Enhancement of spectral curve sampling in multivariate analysis of experimental big data of various biological sciences.
- Takayuki Kudoh, Saki Sasada, Junko Masuda, Masashi Ikeda, Takuma Matsumoto, Anna Sanchez Calle, Neha Nair, Mami Asakura, Tomonari Kasai and Masaharu Seno. Exploration of Target Molecules and Related Pathways Affecting the Conversion of iPSCs into Cancer Stem Cells by Chemical Compounds.
- Risako Jouto-Nagasaka, Yuto Gotoh, Kei Yoshida, Kei Kanie, Kazunori Shimizu, Hiroyuki Honda and Ryuji Kato. Multi-dimensional analysis of iPSCs for non-destructive quality control based cell morphology..
- Satoko Fukuda and Wataru Iwasaki. Machine-learning analysis of behavioral data from a tri-axis accelerometer: a case study of domestic cats.
- Keito Yoshimura, Takeshi Okanoue, Hayao Ebise, Tsuyoshi Iwasaki, Masayuki Mizuno, Toshihide Shima, Junji Ichihara and Kazuto Yamazaki. Factor-Module method for detecting diagnostic biomarkers from high-dimensional and small-sample data.
- Ikuko Motoike, Sachiko Hirano, Miyuki Sakurai, Tomo Saito, Seizo Koshiba, Daisuke Saigusa, Yasutake Katoh, Matsuyuki Shirota, Jun Yasuda, Kengo Kinoshita and Masayuki Yamamoto. jMorp 1000: Japanese Multi Omics Reference Panel.
- Naohisa Goto. BioRuby: open-source bioinformatics toolkit for the Ruby programming language.
- Shun Kodate and Kengo Kinoshita. Bioinfo comics: an introduction book of bioinformatics for general readers.