Madhuchanda Bose

ORCID: 0000-0003-0884-514X
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About
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Research Areas
  • Gene expression and cancer classification
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Genetic Associations and Epidemiology
  • Algorithms and Data Compression
  • Eicosanoids and Hypertension Pharmacology
  • Apelin-related biomedical research
  • Error Correcting Code Techniques
  • Hormonal Regulation and Hypertension
  • Genomic variations and chromosomal abnormalities
  • Genomics and Chromatin Dynamics
  • MicroRNA in disease regulation
  • Genetics, Bioinformatics, and Biomedical Research
  • Machine Learning in Bioinformatics

University of Alberta
2021

Augusta University
2021

Mercer University
2021

University of California, San Francisco
2021

University of Florida
2021

Whole-genome data has become significantly more accessible over the last two decades. This can largely be attributed to both reduced sequencing costs and imputation models which make it possible obtain nearly whole-genome from less expensive genotyping methods, such as microarray chips. Although there are many different approaches imputation, Hidden Markov Model (HMM) remains most widely used. In this study, we compared latest versions of popular HMM-based tools for phasing imputation:...

10.1371/journal.pone.0260177 article EN cc-by PLoS ONE 2022-10-19

Aldosterone, which regulates renal salt retention, is synthesized in adrenocortical mitochondria response to angiotensin II. Excess aldosterone causes myocardial injury and heart failure, but potential intracardiac synthesis has been controversial. We hypothesized that the stressed might produce aldosterone. used blue native gel electrophoresis, immunoblotting, protein crosslinking, coimmunoprecipitations, mass spectrometry assess rat cardiac synthesis. Chronic infusion of II increased...

10.1124/jpet.120.000365 article EN Journal of Pharmacology and Experimental Therapeutics 2021-02-01

Generating polygenic risk scores for diseases and complex traits requires high quality GWAS summary statistic files. Often, these files can be difficult to acquire either as a result of unshared or incomplete data. To date, bioinformatics tools which focus on restoring missing columns containing identification association data are limited, has the potential increase number usable statistics files.SumStatsRehab was able restore rsID, effect/other alleles, chromosome, base pair position,...

10.1186/s12859-022-04920-7 article EN cc-by BMC Bioinformatics 2022-10-25

Abstract Whole-genome data has become significantly more accessible over the last two decades. This can largely be attributed to both reduced sequencing costs and imputation models which make it possible obtain nearly whole-genome from less expensive genotyping methods, such as microarray chips. Although there are many different approaches imputation, Hidden Markov Model remains most widely used. In this study, we compared latest versions of popular based tools for phasing imputation: Beagle...

10.1101/2021.11.04.467340 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-11-04

Abstract Background : Generating polygenic risk scores for diseases and complex traits requires high quality GWAS summary statistic files. Often, these files can be difficult to acquire either as a result of unshared or incomplete data. To date, bioinformatics tools which focus on restoring missing columns containing identification association data are limited, has the potential increase number usable statistics Results SumStatsRehab was able restore rsID, effect/other alleles, chromosome,...

10.21203/rs.3.rs-1359902/v1 preprint EN cc-by Research Square (Research Square) 2022-03-02

The vast majority of human traits, including many disease phenotypes, are affected by alleles at numerous genomic loci. With a continually increasing set variants with published clinical or biomarker associations, an easy-to-use tool for non-programmers to rapidly screen VCF files risk is needed. We have developed EZTraits as quickly evaluate genotype data against rules defined the user. These can be directly in scripting language Lua, calls using variant ID (RS number) chromosomal position....

10.1371/journal.pone.0259327 article EN cc-by PLoS ONE 2022-05-09

ABSTRACT The vast majority of human traits, including many disease phenotypes, are affected by alleles at numerous genomic loci. With a continually increasing set variants with published clinical or biomarker associations, an easy-to-use tool for non-programmers to rapidly screen VCF files risk is needed. We have developed EZTraits as quickly evaluate genotype data (e.g., from microarrays) against rules defined the user. These can be directly in scripting language Lua , calls using variant...

10.1101/2021.10.18.464896 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-10-19
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