Spectrogram Analysis of Genomes
نویسندگان
چکیده
We perform frequency-domain analysis in the genomes of various organisms using tricolor spectrograms, identifying several types of distinct visual patterns characterizing specific DNA regions. We relate patterns and their frequency characteristics to the sequence characteristics of the DNA. At times, the spectrogram patterns can be related to the structure of the corresponding protein region by using various public databases such as GenBank. Some patterns are explained from the biological nature of the corresponding regions, which relate to chromosome structure and protein coding, and some patterns have yet unknown biological significance. We found biologically meaningful patterns, on the scale of millions of base pairs, to a few hundred base pairs. Chromosome-wide patterns include periodicities ranging from 2 to 300. The color of the spectrogram depends on the nucleotide content at specific frequencies, and therefore can be used as a local indicator of CG content and other measures of relative base content. Several smaller-scale patterns are found to represent different types of domains made up of various tandem repeats.
منابع مشابه
Cipher text only attack on speech time scrambling systems using correction of audio spectrogram
Recently permutation multimedia ciphers were broken in a chosen-plaintext scenario. That attack models a very resourceful adversary which may not always be the case. To show insecurity of these ciphers, we present a cipher-text only attack on speech permutation ciphers. We show inherent redundancies of speech can pave the path for a successful cipher-text only attack. To that end, regularities ...
متن کاملAcquired Antimicrobial Resistance Genes of Escherichia coli Obtained from Nigeria: In silico Genome Analysis
Background: Antimicrobial resistance is a global problem with enormous public health and economic impact. This study was carried out to get an overview of acquired antimicrobial resistance gene sequences in the genomes of Escherichia coli isolated from different food sources and the environment in Nigeria. Methods: To determine the acquired antimicrobial-resistant genes prevalence, genome asse...
متن کاملSpectrogram Factorization Using Phase Information
Spectrogram factorization methods have been proposed for single channel source separation [1–4], audio analysis [5–8] and more recently multichannel source separation [9–11]. All spectrogram factorization approaches incorrectly assume that the mixture spectrogram is the sum of the source spectrograms. In fact, the mixture spectrogram depends on the source spectrograms and the phase difference b...
متن کاملRobust speech recognition using the modulation spectrogram
The performance of present-day automatic speech recognition (ASR) systems is seriously compromised by levels of acoustic interference (such as additive noise and room reverberation) representative of real-world speaking conditions. Studies on the perception of speech by human listeners suggest that recognizer robustness might be improved by focusing on temporal structure in the speech signal th...
متن کاملA Robust Heart Sound Segmentation and Classification Algorithm using Wavelet Decomposition and Spectrogram
This short article summarizes UCL’s entry for the PASCAL Classifying Heart Sounds Challenge. The approach focused on the creation of novel segmentation and classification methods based on wavelet decomposition and spectrogram analysis.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2004 شماره
صفحات -
تاریخ انتشار 2004