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Biju Issac 0002

dblp:60/4297-2 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2004
0000-0002-7311-678XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.012004
Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation · Bioinform. 2004
Bioinformatics and computational biology › sequence analysis
repeat detection
0.012004
Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation · Bioinform. 2004
Bioinformatics and computational biology › genome annotation
gene prediction
0.012002
Locating probable genes using Fourier transform approach · Bioinform. 2002
Bioinformatics and computational biology
sequence analysis
0.012004
Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation · Bioinform. 2004
Bioinformatics and computational biology › sequence analysis
sequence visualization
0.012004
Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation · Bioinform. 2004

Methods — techniques the papers use, named apart from their topics

sliding window analysis · 0.0discrete fourier transform · 0.0fourier transform · 0.0
YearPublicationVenuePosition
2004 Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation
abstract
MOTIVATION: Repetitive DNA sequences, besides having a variety of regulatory functions, are one of the principal causes of genomic instability. Understanding their origin and evolution is of fundamental importance for genome studies. The identification of repeats and their units helps in deducing the intra-genomic dynamics as an important feature of comparative genomics. A major difficulty in identification of repeats arises from the fact that the repeat units can be either exact or imperfect, in tandem or dispersed, and of unspecified length. RESULTS: The Spectral Repeat Finder program circumvents these problems by using a discrete Fourier transformation to identify significant periodicities present in a sequence. The specific regions of the sequence that contribute to a given periodicity are located through a sliding window analysis, and an exact search method is then used to find the repetitive units. Efficient and complete detection of repeats is provided together with interactive and detailed visualization of the spectral analysis of input sequence. We demonstrate the utility of our method with various examples that contain previously unannotated repeats. A Web server has been developed for convenient access to the automated program. AVAILABILITY: The Web server is available at http://www.imtech.res.in/raghava/srf and http://www2.imtech.res.in/raghava/srf
Biju Issac 0002, Gajendra P. S. Raghava, Ramakrishna Ramaswamy
Bioinform.2
2002 Locating probable genes using Fourier transform approach
abstract
Abstract Summary: FTG is a web server for analyzing nucleotide sequences to predict the genes using Fourier transform techniques. This server implements the existing Fourier transform algorithms for gene prediction and allows the rapid visualization of analysis by output in GIF format. Availability: The server is available at http://www.imtech.res.in/raghava/ftg/ Contact: [email protected] Supplementary information: http://www.imtech.res.in/raghava/ftg/help/supl.html * To whom correspondence should be addressed.
Biju Issac 0002, Gajendra P. S. Raghava
Bioinform.1