scholarly journals Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource

Hepatology ◽  
2013 ◽  
Vol 59 (1) ◽  
pp. 318-327 ◽  
Author(s):  
Donald B. Smith ◽  
Jens Bukh ◽  
Carla Kuiken ◽  
A. Scott Muerhoff ◽  
Charles M. Rice ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Web Resource ◽  
Genotype Assignment

Classification of hepatitis C virus into major types and subtypes based on molecular evolutionary analysis

1995 ◽  
Vol 36 (2-3) ◽  
pp. 201-214 ◽  
Author(s):  
Ken-ichi Ohba ◽  
Masashi Mizokami ◽  
Tomoyoshi Ohno ◽  
Kaoru Suzuki ◽  
Etsuro Orito ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Evolutionary Analysis ◽  
Molecular Evolutionary Analysis

Analysis of HCV’s Linearity Using Support Vector Machine (SVM)

2014 ◽  
Vol 548-549 ◽  
pp. 1265-1269
Author(s):  
Yun Sik Hwang ◽  
Byeong Joo Jun ◽  
Tae Seon Yoon
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Hepatitis C Virus ◽  
Data Analysis ◽  
Hepatitis C ◽  
Amino Acid ◽  
Support Vector ◽  
Svm Algorithm ◽  
Genetic Patterns

As the stage of bioinformatics has been upgraded, classification of certain pathogen has been improved into a new manner. The main topic of this research is genetic singularity of HCV (Hepatitis C Virus) and our objective is to assay features of the HCV's amino acid under usage of Support Vector Machine (SVM) algorithm. HCV data used in our experiment has 10 kinds of sequences and 257 kinds of data. According to data analysis, some peculiar genetic patterns of HCV’s linearity that discord pre-existing neural network and C5.0 were found.

Classification of hepatitis C virus variants in six major types based on analysis of the envelope 1 and nonstructural 5B genome regions and complete polyprotein sequences.

1997 ◽  
Vol 78 (1) ◽  
pp. 45-51 ◽  
Author(s):  
X de Lamballerie ◽  
P De Micco ◽  
R N Charrel ◽  
H Attoui
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C

scholarly journals Complete genomes of hepatitis C virus (HCV) subtypes 6c, 6l, 6o, 6p and 6q: completion of a full panel of genomes for HCV genotype 6

2007 ◽  
Vol 88 (5) ◽  
pp. 1519-1525 ◽  
Author(s):  
Ling Lu ◽  
Chunhua Li ◽  
Yongshui Fu ◽  
Fengxiang Gao ◽  
Oliver G. Pybus ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Reference Sequence ◽  
Full Genome ◽  
Eastern Asia ◽  
Full Genome Sequencing ◽  
Hcv Genotype ◽  
Complete Genomes ◽  
Complete Sequences

Five hepatitis C virus (HCV) complete genome sequences (Th846, 537796, QC227, QC216 and QC99) from a blood donor in Thailand and three Asian immigrants and one Caucasian in North America were determined. Phylogenetically, they represent the first complete genomes for subtypes 6c, 6l, 6o, 6p and 6q, respectively. Similarity analysis showed no evidence of inter- or intrasubtype recombination. Further analysis in conjunction with partial sequences from the Los Alamos HCV database led to the identification of other closely related isolates from south-eastern Asia or immigrants from that region. However, Th846 did not cluster with any reference sequence and is the sole isolate of subtype 6c reported so far. This study completes the full genome sequencing of all 17 assigned HCV genotype 6 subtypes (6a–6q). The utility of this panel of complete sequences for accurate detection and classification of infection, and for estimating the origin of this genotype of HCV, is discussed.

scholarly journals Genotyping of Hepatitis C Virus Isolates using CLIP Sequencing

2000 ◽  
Vol 38 (10) ◽  
pp. 3581-3584 ◽  
Author(s):  
R. S. Ross ◽  
S. O. Viazov ◽  
C. D. Holtzer ◽  
A. Beyou ◽  
A. Monnet ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Direct Sequencing ◽  
Pcr Amplification ◽  
Hcv Rna ◽  
Hcv Genotypes ◽  
Genotype Assignment ◽  
Convenient Technique ◽  
Dna Enzyme Immunoassay ◽  
Hcv Genotyping

Determination of hepatitis C virus (HCV) genotypes and subtypes has become increasingly important for the clinical management and prognosis of HCV infections. The aim of the present study was to assess the specificity and reliability of a newly developed, commercially available HCV genotyping kit (TRUGENE HCV 5′NCgenotyping kit). This technique utilizes PCR fragments previously generated by the diagnostic Roche AMPLICOR HCV test, which are subsequently subjected to simultaneous PCR amplification and direct sequencing (CLIP sequencing) of the 5′ noncoding region (5′NCR). HCV isolates from 100 randomly chosen patients were genotyped by both the TRUGENE HCV 5′NC genotyping kit and DNA enzyme immunoassay (DEIA). Typing results obtained by both methods were in complete concordance in 91% of the cases. HCV RNA from the samples with discordant genotype assignment in both assays was additionally amplified with primers from the HCV core and NS5B regions. Phylogenetic analysis of the obtained sequences supported the results obtained from DEIA in six cases and CLIP sequencing in two cases. In the former six cases, the TRUGENE HCV 5′NC genotyping kit could not correctly differentiate between subtypes of genotypes 1 and 2 due to the high conservation of the 5′NCR. However, since there was not any misclassification between HCV genotypes 1 and non-1 types, the results obtained with this system are, in general, reliable and can be used in clinical practice. The TRUGENE HCV 5′NC genotyping kit in our hands proved to be a fast and convenient technique that might be an attractive option for HCV genotyping in laboratories already using the Roche AMPLICOR HCV test for diagnostic reverse transcription-PCR.

scholarly journals Classification of Hepatitis C Virus Type 2 Isolates by Phylogenetic Analysis of Core and NS5 Regions

1999 ◽  
Vol 37 (6) ◽  
pp. 2116-2117
Author(s):  
Mauro Pistello ◽  
Fabrizio Maggi ◽  
Claudia Fornai ◽  
Alessandro Leonildi ◽  
Antonietta Morrica ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Virus Type

Identification and classification of hepatitis C virus: an advance machine-learning-based approach

2020 ◽  
pp. 393-415
Author(s):  
Janmenjoy Nayak ◽  
Pemmada Suresh Kumar ◽  
Dukka Karun Reddy ◽  
Bighnaraj Naik
Keyword(s):  
Machine Learning ◽  
Hepatitis C Virus ◽  
Hepatitis C

Classification of Hepatitis C Virus Using Case-Based Reasoning (CBR) with Correlation Lift Metric

2018 ◽  
pp. 916-923
Author(s):  
B. Vikas ◽  
D. V. S. Yaswanth ◽  
W. Vinay ◽  
B. Sridhar Reddy ◽  
A. V. H. Saranyu
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Case Based Reasoning ◽  
Case Based
Sign in / Sign up

Export Citation Format

Share Document