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CrossRef Text and Data Mining |
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Bioinformatics services for analyzing massive genomic datasets |
Gunhwan Ko, Pan-Gyu Kim, Youngbum Cho, Seongmun Jeong, Jae-Yoon Kim, Kyoung Hyoun Kim, Ho-Yeon Lee, Jiyeon Han, Namhee Yu, Seokjin Ham, Insoon Jang, Byunghee Kang, Sunguk Shin, Lian Kim, Seung-Won Lee, Dougu Nam, Jihyun F. Kim, Namshin Kim, Seon-Young Kim, Sanghyuk Lee, Tae-Young Roh, Byungwook Lee |
Genomics Inform. 2020;18(1):e8 Published online March 31, 2020 DOI: https://doi.org/10.5808/GI.2020.18.1.e8 |
Shine: A novel strategy to extract specific, sensitive and well-conserved biomarkers from massive microbial genomic datasets Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets GPAT: Retrieval of genomic annotation from large genomic position datasets Bioinformatics services for analyzing massive genomic datasets Strategies for analyzing highly enriched IP-chip datasets Analyzing Genomic Features with Predictive Chromatin Interaction Models: A Comprehensive Evaluation TagCleaner: Identification and removal of tag sequences from genomic and metagenomic datasets Analyzing large scale genomic data on the cloud with Sparkhit DNAism: exploring genomic datasets on the web with Horizon Charts |