User profiles for Manavalan Gajapathy
Manavalan GajapathyData scientist-Genomics, The University of Alabama at Birmingham Verified email at uab.edu Cited by 52 |
[HTML][HTML] Ten simple rules for using public biological data for your research
…, A Uno-Antonison, B Wilk, M Gajapathy… - PLOS Computational …, 2023 - journals.plos.org
With an increasing amount of biological data available publicly, there is a need for a guide
on how to successfully download and use this data. The 10 simple rules for using public …
on how to successfully download and use this data. The 10 simple rules for using public …
[HTML][HTML] Critical assessment of variant prioritization methods for rare disease diagnosis within the Rare Genomes Project
Background: A major obstacle faced by rare disease families is obtaining a genetic diagnosis.
The average “diagnostic odyssey” lasts over five years, and causal variants are identified …
The average “diagnostic odyssey” lasts over five years, and causal variants are identified …
Genetic factors help explain the variable responses of young children with cystic fibrosis to vitamin D supplements
Background & aims Children with cystic fibrosis (CF) are susceptible to fat-soluble vitamin
deficiencies unless supplemented, but even large doses of vitamin D may not prevent low 25-…
deficiencies unless supplemented, but even large doses of vitamin D may not prevent low 25-…
[HTML][HTML] VarSight: prioritizing clinically reported variants with binary classification algorithms
Background When applying genomic medicine to a rare disease patient, the primary goal is
to identify one or more genomic variants that may explain the patient’s phenotypes. Typically…
to identify one or more genomic variants that may explain the patient’s phenotypes. Typically…
Molecular characterization of juxtaglomerular cell tumors: evidence of alterations in MAPK-RAS pathway
…, M Aron, F Massicano, BM Wilk, M Gajapathy… - Modern Pathology, 2024 - Elsevier
Juxtaglomerular cell tumor (JGCT) is a rare neoplasm, part of the family of mesenchymal
tumors of the kidney. Although the pathophysiological and clinical correlates of JGCT are well-…
tumors of the kidney. Although the pathophysiological and clinical correlates of JGCT are well-…
Dynamic behavior of oligomeric inorganic pyrophosphatase explored by quasielastic neutron scattering
X Chu, M Gajapathy, KL Weiss… - The Journal of …, 2012 - ACS Publications
The purpose of this investigation is to determine whether a large oligomeric protein, inorganic
pyrophosphatase (IPPase) from Thermococcus thioreducens with quaternary structural …
pyrophosphatase (IPPase) from Thermococcus thioreducens with quaternary structural …
Identification of pathogenic structural variants in rare disease patients through genome sequencing
Purpose Clinical whole genome sequencing is becoming more common for determining the
molecular diagnosis of rare disease. However, standard clinical practice often focuses on …
molecular diagnosis of rare disease. However, standard clinical practice often focuses on …
[PDF][PDF] Rosalution: Supporting data accessibility, integration, curation, interoperability, and reuse for precision animal modeling
…, D Brown, A Foksinska, M Gajapathy… - Journal of Open …, 2023 - joss.theoj.org
One in ten individuals lives with a rare genetic disease;~ 50% are children. Recent advances
have revolutionized our ability to identify candidate and confirmed causal molecular …
have revolutionized our ability to identify candidate and confirmed causal molecular …
DITTO: An Explainable Machine-Learning Model for Transcript-Specific Variant Pathogenicity Prediction
Accurate diagnosis for the 400 million people with rare diseases is critical for healthcare
decisions, prognosis, understanding disease mechanisms, and identification of treatments. …
decisions, prognosis, understanding disease mechanisms, and identification of treatments. …
QuaC: A Pipeline Implementing Quality Control Best Practices for Genome Sequencing and Exome Sequencing Data
Quality Control (QC) of human genome sequencing and exome sequencing data is necessary
to ensure they are of sufficient quality for downstream analyses. While several QC tools …
to ensure they are of sufficient quality for downstream analyses. While several QC tools …