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EURASIP Journal on Bioinformatics and Systems Biology (1)
International Orthopaedics (1)
Dev, Bias (1)
Garg, Sudhir (1)
Gupta, Parmanand (1)
Gupta, Ravi (1)
Gupta, Ravi K. (1)
Kansay, Rajeev (1)
Mittal, Ankush (1)
Sarthi, Divya (1)
Singh, Harmeet (1)
Singh, Kuldip (1)
Year of Publication
Results of operative treatment of acetabular fractures from the Third World—how local factors affect the outcome
The objective of this study was to assess the outcome of operations on acetabular fractures from a developing country in the presence of locally available facilities. Sixty-three acetabular fractures were assessed at an average follow up of 52.94 months after operation. Twenty-six patients operated upon in the first three years and 37 operated thereafter were separately studied to discover the effect of the learning curve. Regarding the fractures, 47 of 63 (74.6%) had excellent/good results (Harris Hip Score>80). The complications included broken drill bit in eight patients (12.69%), deep infection and heterotopic ossification in five patients (7.93%), avascular necrosis and sciatic nerve palsy in two patients (3.17%) and implant failure in one patient (1.58%). The results collected during the learning curve were inferior in the complex fractures (p value<0.001). Complications were common in patients opting for local implants and in those operated after over 2 weeks delay.
A Novel Signal Processing Measure to Identify Exact and Inexact Tandem Repeat Patterns in DNA Sequences
EURASIP Journal on Bioinformatics and Systems Biology
The identification and analysis of repetitive patterns are active areas of biological and computational research. Tandem repeats in telomeres play a role in cancer and hypervariable trinucleotide tandem repeats are linked to over a dozen major neurodegenerative genetic disorders. In this paper, we present an algorithm to identify the exact and inexact repeat patterns in DNA sequences based on orthogonal exactly periodic subspace decomposition technique. Using the new measure our algorithm resolves the problems like whether the repeat pattern is of period or its multiple (i.e., 2, 3, etc.), and several other problems that were present in previous signal-processing-based algorithms. We present an efficient algorithm of , where is the length of DNA sequence and is the window length, for identifying repeats. The algorithm operates in two stages. In the first stage, each nucleotide is analyzed separately for periodicity, and in the second stage, the periodic information of each nucleotide is combined together to identify the tandem repeats. Datasets having exact and inexact repeats were taken up for the experimental purpose. The experimental result shows the effectiveness of the approach.
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