User profiles for A. Dhroso

Andi Dhroso

PhD student, Worcester Polytechnic Institue
Verified email at wpi.edu
Cited by 315

The variation game: Cracking complex genetic disorders with NGS and omics data

H Cui, A Dhroso, N Johnson, D Korkin - Methods, 2015 - Elsevier
Tremendous advances in Next Generation Sequencing (NGS) and high-throughput omics
methods have brought us one step closer towards mechanistic understanding of the complex …

Systematic mutagenesis of serine hydroxymethyltransferase reveals an essential role in nematode resistance

…, A Howland, J Gunther, S Eidson, A Dhroso… - Plant …, 2017 - academic.oup.com
Rhg4 is a major genetic locus that contributes to soybean cyst nematode (SCN) resistance
in the Peking-type resistance of soybean (Glycine max), which also requires the rhg1 gene. …

Biological classification with RNA-seq data: Can alternatively spliced transcript expression enhance machine learning classifiers?

NT Johnson, A Dhroso, KJ Hughes, D Korkin - Rna, 2018 - rnajournal.cshlp.org
RNA sequencing (RNA-seq) is becoming a prevalent approach to quantify gene expression
and is expected to gain better insights into a number of biological and biomedical questions …

[HTML][HTML] Novel global effector mining from the transcriptome of early life stages of the soybean cyst nematode Heterodera glycines

M Gardner, A Dhroso, N Johnson, EL Davis, TJ Baum… - Scientific reports, 2018 - nature.com
Soybean cyst nematode (SCN) Heterodera glycines is an obligate parasite that relies on the
secretion of effector proteins to manipulate host cellular processes that favor the formation …

Phytonematode peptide effectors exploit a host post‐translational trafficking mechanism to the ER using a novel translocation signal

J Wang, A Dhroso, X Liu, TJ Baum, RS Hussey… - New …, 2021 - Wiley Online Library
Cyst nematodes induce a multicellular feeding site within roots called a syncytium. It
remains unknown how root cells are primed for incorporation into the developing syncytium. …

Open community challenge reveals molecular network modules with key roles in diseases

…, J Crawford, H Cui, P Dao, MD Domenico, A Dhroso… - bioRxiv, 2018 - biorxiv.org
Identification of modules in molecular networks is at the core of many current analysis
methods in biomedical research. However, how well different approaches identify disease-…

[HTML][HTML] Tools for annotation and comparison of structural variation

FJ Sedlazeck, A Dhroso, DL Bodian, J Paschall… - …, 2017 - ncbi.nlm.nih.gov
The impact of structural variants (SVs) on a variety of organisms and diseases like cancer
has become increasingly evident. Methods for SV detection when studying genomic …

[HTML][HTML] Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework

A Dhroso, S Eidson, D Korkin - Scientific Reports, 2018 - nature.com
Gram-negative bacteria are responsible for hundreds of millions infections worldwide,
including the emerging hospital-acquired infections and neglected tropical diseases in the third-…

Short-stalked Prosthecomicrobium hirschii cells have a Caulobacter-like cell cycle

…, JJ Daniel, SM Madren, A Dhroso… - Journal of …, 2016 - Am Soc Microbiol
The dimorphic alphaproteobacterium Prosthecomicrobium hirschii has both short-stalked
and long-stalked morphotypes. Notably, these morphologies do not arise from transitions in a …

DOMMINO 2.0: integrating structurally resolved protein-, RNA-, and DNA-mediated macromolecular interactions

X Kuang, A Dhroso, JG Han, CR Shyu, D Korkin - Database, 2016 - academic.oup.com
Macromolecular interactions are formed between proteins, DNA and RNA molecules. Being
a principle building block in macromolecular assemblies and pathways, the interactions …