Ravi Vijaya Satya
Overview
Explore the profile of Ravi Vijaya Satya including associated specialties, affiliations and a list of published articles.
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18
Citations
679
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Recent Articles
1.
Razavi P, Li B, Brown D, Jung B, Hubbell E, Shen R, et al.
Nat Med
. 2019 Nov;
25(12):1928-1937.
PMID: 31768066
Accurate identification of tumor-derived somatic variants in plasma circulating cell-free DNA (cfDNA) requires understanding of the various biological compartments contributing to the cfDNA pool. We sought to define the technical...
2.
Sharma S, Arunachalam P, Menon M, Ragupathy V, Vijaya Satya R, Jebaraj J, et al.
J Biol Chem
. 2018 May;
293(30):11687-11708.
PMID: 29773649
HIV-1 subtype C (HIV-1C) may duplicate longer amino acid stretches in the p6 Gag protein, leading to the creation of an additional Pro-Thr/Ser-Ala-Pro (PTAP) motif necessary for viral packaging. However,...
3.
Janku F, Zhang S, Waters J, Liu L, Huang H, Subbiah V, et al.
Clin Cancer Res
. 2017 May;
23(18):5648-5656.
PMID: 28536309
Tumor-derived cell-free DNA (cfDNA) in plasma can be used for molecular testing and provide an attractive alternative to tumor tissue. Commonly used PCR-based technologies can test for limited number of...
4.
Peng Q, Vijaya Satya R, Lewis M, Randad P, Wang Y
BMC Genomics
. 2015 Aug;
16:589.
PMID: 26248467
Background: PCR amplicon sequencing has been widely used as a targeted approach for both DNA and RNA sequence analysis. High multiplex PCR has further enabled the enrichment of hundreds of...
5.
Reinecke F, Vijaya Satya R, Dicarlo J
BMC Bioinformatics
. 2015 Jan;
16:17.
PMID: 25626454
Background: Next-generation sequencing (NGS) is rapidly becoming common practice in clinical diagnostics and cancer research. In addition to the detection of single nucleotide variants (SNVs), information on copy number variants...
6.
Vijaya Satya R, Dicarlo J
BMC Genomics
. 2014 Dec;
15:1073.
PMID: 25480444
Background: Analysis of targeted amplicon sequencing data presents some unique challenges in comparison to the analysis of random fragment sequencing data. Whereas reads from randomly fragmented DNA have arbitrary start...
7.
Hang J, Desai V, Zavaljevski N, Yang Y, Lin X, Vijaya Satya R, et al.
Microbiome
. 2014 Sep;
2:31.
PMID: 25228989
Background: Sample storage conditions, extraction methods, PCR primers, and parameters are major factors that affect metagenomics analysis based on microbial 16S rRNA gene sequencing. Most published studies were limited to...
8.
Xu H, Dicarlo J, Vijaya Satya R, Peng Q, Wang Y
BMC Genomics
. 2014 Apr;
15:244.
PMID: 24678773
Background: High-throughput sequencing is rapidly becoming common practice in clinical diagnosis and cancer research. Many algorithms have been developed for somatic single nucleotide variant (SNV) detection in matched tumor-normal DNA...
9.
Woo H, Vijaya Satya R, Reifman J
PLoS Comput Biol
. 2012 Jun;
8(5):e1002534.
PMID: 22693440
The RNA world hypothesis views modern organisms as descendants of RNA molecules. The earliest RNA molecules must have been random sequences, from which the first genomes that coded for polymerase...
10.
Vijaya Satya R, Zavaljevski N, Reifman J
Nucleic Acids Res
. 2012 May;
40(16):e127.
PMID: 22584625
Accurate estimation of expression levels from RNA-Seq data entails precise mapping of the sequence reads to a reference genome. Because the standard reference genome contains only one allele at any...