Muhamad Fachrul

ORCID: 0000-0003-2199-5900
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Gut microbiota and health
  • Genomics and Phylogenetic Studies
  • Metabolomics and Mass Spectrometry Studies
  • Genetic diversity and population structure
  • Diabetic Foot Ulcer Assessment and Management
  • Machine Learning in Bioinformatics
  • Evolution and Genetic Dynamics
  • Bacterial Identification and Susceptibility Testing
  • Lipid metabolism and disorders
  • Genetic Associations and Epidemiology
  • Clostridium difficile and Clostridium perfringens research
  • Epigenetics and DNA Methylation
  • Machine Learning in Healthcare
  • Cancer-related molecular mechanisms research
  • Molecular Biology Techniques and Applications

The University of Melbourne
2021-2024

Melbourne Genomics Health Alliance
2024

Baker Heart and Diabetes Institute
2021-2024

St Vincents Institute of Medical Research
2024

Indonesia International Institute for Life Sciences
2018

Abstract RNAseq data can be used to infer genetic variants, yet its use for estimating population structure remains underexplored. Here, we construct a freely available computational tool (RGStraP) estimate RNAseq-based principal components (RG-PCs) and assess whether RG-PCs control in gene expression analyses. Using whole blood samples from understudied Nepalese populations the Geuvadis study, show that had comparable results paired array-based genotypes, with high genotype concordance...

10.1038/s42003-023-05171-9 article EN cc-by Communications Biology 2023-08-02

Varying technologies and experimental approaches used in microbiome studies often lead to irreproducible results due unwanted technical variations. Such variations, unaccounted for of unknown source, may interfere with true biological signals, resulting misleading conclusions. In this work, we aim characterize the major sources variations data demonstrate how in-silico can minimize their impact. We analyzed 184 pig faecal metagenomes encompassing 21 specific combinations deliberately...

10.1038/s41598-022-26141-x article EN cc-by Scientific Reports 2022-12-23

Abstract RNAseq data can be used to infer genetic variants, yet its use for estimating population structure remains underexplored. Here, we construct a freely available computational tool (RGStraP) estimate RNAseq-based principal components (RG-PCs) and assess whether RG-PCs control in gene expression analyses. Using whole blood samples from understudied Nepalese populations the Geuvadis study, show that had comparable results paired array-based genotypes, with high genotype concordance...

10.1101/2022.09.16.508259 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-09-16

Abstract Pathogens found within local environments are a major cause of morbidity and mortality. This is particularly true in Indonesia, where infectious diseases such as malaria or dengue significant part the disease burden. Unequal investment medical funding throughout rural areas, has resulted under-reporting cases, making surveillance challenging. Here, we use transcriptome data from 117 healthy individuals living on islands Mentawai, Sumba, Indonesian side New Guinea Island to explore...

10.1101/2022.04.24.489025 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-04-25

Abstract Varying technologies and experimental approaches used in microbiome studies often lead to irreproducible results due unwanted technical variations. Such variations, unaccounted for of unknown source, may interfere with true biological signals, resulting misleading conclusions. In this work, we aim characterize the major sources variations data demonstrate how a state-of-the art approach can minimize their impact on downstream analyses. We analyzed 184 pig faecal metagenomes...

10.1101/2021.05.21.445058 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-05-22
Coming Soon ...