Publication2017
Identification of exon location applying kaiser window and DFT techniques
The record
- Type
- Publication
- Date
- 18 December 2017
- Level
- National
- Journal
- 2017 2nd International Conference for Convergence in Technology I2ct 2017
- Volume
- 2017-January
- Pages
- 211-216
- Published
- 18 December 2017
- DOI
- 10.1109/i2ct.2017.8226123
- Scopus ID
- 85046533460
- Authors
- 3
- Open access
- No
- Citations
- 11
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Develops hybrid Kaiser window and discrete Fourier transform approach for exon location detection in eukaryotic DNA sequences exploiting Period-3 properties.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Advances research and development in genomic signal processing methodologies for DNA sequence analysis.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Identification of exon location applying kaiser window and DFT techniques”. Kortex.