The advent of Next Generation Sequencing (NGS) technologies has opened new possibilities for researchers. However, the more biology becomes a data-intensive field, the more biologists have to learn how to process and analyze NGS data with complex computational tools. Even with the availability of common pipeline specifications, it is often a time-consuming and cumbersome task for a bench scientist to install and configure the pipeline tools. We believe that a unified, desktop and biologist-friendly front end to NGS data analysis tools will substantially improve productivity in this field. Here we present NGS pipelines "Variant Calling with SAMtools", "Tuxedo Pipeline for RNA-seq Data Analysis" and "Cistrome Pipeline for ChIP-seq Data Analysis" integrated into the Unipro UGENE desktop toolkit. We describe the available UGENE infrastructure that helps researchers run these pipelines on different datasets, store and investigate the results and re-run the pipelines with the same parameters. These pipeline tools are included in the UGENE NGS package. Individual blocks of these pipelines are also available for expert users to create their own advanced workflows.
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RIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Natl Canc Ctr, Div Med AI Res Dev, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Asada, Ken
Kaneko, Syuzo
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Natl Canc Ctr, Div Med AI Res Dev, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Kaneko, Syuzo
Takasawa, Ken
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RIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Natl Canc Ctr, Div Med AI Res Dev, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Takasawa, Ken
Shiraishi, Kouya
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Natl Canc Ctr, Div Genome Biol, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Shiraishi, Kouya
Horinouchi, Hidehito
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Natl Canc Ctr Hosp, Dept Thorac Oncol, Chuo City, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Horinouchi, Hidehito
Yoshida, Yukihiro
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Natl Canc Ctr Hosp, Dept Thorac Surg, Chuo City, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Yoshida, Yukihiro
Mukai, Masami
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Natl Canc Ctr Hosp Dept, Div Med Info, Chuo City, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Mukai, Masami
Shinkai, Norio
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RIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Natl Canc Ctr, Div Med AI Res Dev, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Shinkai, Norio
Yatabe, Yasushi
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Tokyo Med Dent Univ, NCC Canc Sci, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Yatabe, Yasushi
Kohno, Takashi
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Natl Canc Ctr, Div Genome Biol, Tokyo, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Kohno, Takashi
Hamamoto, Ryuji
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RIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan
Natl Canc Ctr, Div Med AI Res Dev, Tokyo, Japan
Natl Canc Ctr Hosp, Dept Diagnost Pathol, Chuo City, JapanRIKEN Ctr AIP Project, Canc Transl Res Team, Tokyo, Japan