Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Siva Ratna Kumari Narisetti"'
Publikováno v:
BMC Genomics, Vol 20, Iss S11, Pp 1-16 (2019)
Abstract Background Knowledge Base Commons (KBCommons) v1.1 is a universal and all-inclusive web-based framework providing generic functionalities for storing, sharing, analyzing, exploring, integrating and visualizing multiple organisms’ genomics
Externí odkaz:
https://doaj.org/article/81e4583500ab460693c350ba4b50f76f
Publikováno v:
HCI International 2021-Posters ISBN: 9783030786342
HCI (37)
HCI (37)
Mobile app development and usage is booming in India; however, it is still in the early stages of adoption especially among the rural farming community. This research attempted to identify the usability problems of a selected agricultural mobile app,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d141f5ed8713a8afee9ed8f9ac33be2d
https://doi.org/10.1007/978-3-030-78635-9_7
https://doi.org/10.1007/978-3-030-78635-9_7
Publikováno v:
BIBM
Knowledge Base Commons (KBCommons) v1.0 provides a comprehensive web resource for storing, sharing, analyzing, exploring, and visualizing multi-organism genomics and multi-omics data. KBCommons is designed for integrating diverse multi-level omics da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4635f329e0200a4fff697e8178fef427
https://doi.org/10.1109/bibm.2018.8621369
https://doi.org/10.1109/bibm.2018.8621369
Publikováno v:
BIBM
Multi-level ‘OMICS’ data integration for multiple organisms has been one of the major challenges in the era of advanced next generation sequencing and high performance technologies. However, these data are often stored individually across differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::771426607fe41f2c2aed676cf2f77f70
https://doi.org/10.1109/bibm.2017.8218028
https://doi.org/10.1109/bibm.2017.8218028
Publikováno v:
BIBM
Advancement of next generation sequencing and high-throughput technologies has resulted in generation of multi-level of ‘OMICS’ data for many organisms. However, these data are often individually scattered across different repositories based on d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fc2e88026c18fa3dc19bbb43749e29c
https://doi.org/10.1109/bibm.2017.8218050
https://doi.org/10.1109/bibm.2017.8218050