Ch IP‐Atlas: a data‐mining suite powered by full integration of public Ch IP‐seq data S Oki, T Ohta, G Shioi, H Hatanaka, O Ogasawara, Y Okuda, H Kawaji, ... EMBO reports 19 (12), e46255, 2018 | 646 | 2018 |
ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data Z Zou, T Ohta, F Miura, S Oki Nucleic acids research 50 (W1), W175-W182, 2022 | 200 | 2022 |
Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements T Amariuta, K Ishigaki, H Sugishita, T Ohta, M Koido, KK Dey, K Matsuda, ... Nature genetics 52 (12), 1346-1354, 2020 | 155 | 2020 |
Experimental design-based functional mining and characterization of high-throughput sequencing data in the sequence read archive T Nakazato, T Ohta, H Bono PLoS One 8 (10), e77910, 2013 | 95 | 2013 |
Robotic crowd biology with Maholo LabDroids N Yachie, T Natsume Nature biotechnology 35 (4), 310-312, 2017 | 78 | 2017 |
GWAS of mosaic loss of chromosome Y highlights genetic effects on blood cell differentiation C Terao, Y Momozawa, K Ishigaki, E Kawakami, M Akiyama, PR Loh, ... Nature communications 10 (1), 4719, 2019 | 64 | 2019 |
Weighted enrichment method for prediction of transcription regulators from transcriptome and global chromatin immunoprecipitation data E Kawakami, S Nakaoka, T Ohta, H Kitano Nucleic Acids Research 44 (11), 5010-5021, 2016 | 29 | 2016 |
Integrative analysis of transcription factor occupancy at enhancers and disease risk loci in noncoding genomic regions S Oki, T Ohta, G Shioi, H Hatanaka, O Ogasawara, Y Okuda, H Kawaji, ... BioRxiv, 262899, 2018 | 17 | 2018 |
Squalomix: shark and ray genome analysis consortium and its data sharing platform O Nishimura, J Rozewicki, K Yamaguchi, K Tatsumi, Y Ohishi, T Ohta, ... F1000Research 11, 2022 | 16 | 2022 |
Calculating the quality of public high-throughput sequencing data to obtain a suitable subset for reanalysis from the Sequence Read Archive T Ohta, T Nakazato, H Bono GigaScience 6 (6), gix029, 2017 | 13 | 2017 |
Reproducible scientific computing environment with overlay cloud architecture S Yokoyama, Y Masatani, T Ohta, O Ogasawara, N Yoshioka, K Liu, ... 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 774-781, 2016 | 12 | 2016 |
Accumulating computational resource usage of genomic data analysis workflow to optimize cloud computing instance selection T Ohta, T Tanjo, O Ogasawara Gigascience 8 (4), giz052, 2019 | 10 | 2019 |
Sapporo: a workflow execution service that encourages the reuse of workflows in various languages in bioinformatics H Suetake, T Tanjo, M Ishii, BP Kinoshita, T Fujino, T Hachiya, Y Kodama, ... F1000Research 11, 2022 | 9 | 2022 |
TogoID: an exploratory ID converter to bridge biological datasets S Ikeda, H Ono, T Ohta, H Chiba, Y Naito, Y Moriya, S Kawashima, ... Bioinformatics 38 (17), 4194-4199, 2022 | 8 | 2022 |
BioHackathon 2015: Semantics of data for life sciences and reproducible research RA Vos, T Katayama, H Mishima, S Kawano, S Kawashima, JD Kim, ... F1000Research 9, 2020 | 8 | 2020 |
In silico integration of thousands of epigenetic datasets into 707 cell type regulatory annotations improves the trans-ethnic portability of polygenic risk scores T Amariuta, K Ishigaki, H Sugishita, T Ohta, K Matsuda, Y Murakami, ... bioRxiv, 2020.02. 21.959510, 2020 | 7 | 2020 |
Intercloud brokerages based on PLS method for deploying infrastructures for big data analytics K Miura, T Ohta, C Powell, M Munetomo 2016 IEEE International Conference on Big Data (Big Data), 2097-2102, 2016 | 7 | 2016 |
ChIP-Atlas S Oki, T Ohta Practical Guide to Life Science Databases, 95-116, 2021 | 6 | 2021 |
A workflow reproducibility scale for automatic validation of biological interpretation results H Suetake, T Fukusato, T Igarashi, T Ohta Gigascience 12, giad031, 2023 | 4 | 2023 |
ChIP-Atlas: a data-mining suite powered by full integration of public ChIP-seq 465 data O Shinya, O Tazro EMBO Rep, 2018 | 3 | 2018 |