User profiles for A. Allahyar
Amin AllahyarAstraZeneca Verified email at astrazeneca.com Cited by 389 |
[PDF][PDF] Microbial modulation of energy availability in the colon regulates intestinal transit
A Wichmann, A Allahyar, TU Greiner, H Plovier… - Cell host & …, 2013 - cell.com
Gut microbiota contribute to host metabolic efficiency by increasing energy availability through
the fermentation of dietary fiber and production of short-chain fatty acids (SCFAs) in the …
the fermentation of dietary fiber and production of short-chain fatty acids (SCFAs) in the …
Enhancer hubs and loop collisions identified from single-allele topologies
A Allahyar, C Vermeulen, BAM Bouwman, PHL Krijger… - Nature …, 2018 - nature.com
Chromatin folding contributes to the regulation of genomic processes such as gene activity.
Existing conformation capture methods characterize genome topology through analysis of …
Existing conformation capture methods characterize genome topology through analysis of …
[HTML][HTML] Robust detection of translocations in lymphoma FFPE samples using targeted locus capture-based sequencing
A Allahyar, M Pieterse, J Swennenhuis… - Nature …, 2021 - nature.com
In routine diagnostic pathology, cancer biopsies are preserved by formalin-fixed, paraffin-embedding
(FFPE) procedures for examination of (intra-) cellular morphology. Such …
(FFPE) procedures for examination of (intra-) cellular morphology. Such …
[PDF][PDF] Interplay between CTCF boundaries and a super enhancer controls cohesin extrusion trajectories and gene expression
To understand how chromatin domains coordinate gene expression, we dissected select
genetic elements organizing topology and transcription around the Prdm14 super enhancer in …
genetic elements organizing topology and transcription around the Prdm14 super enhancer in …
Fast feature reduction in intrusion detection datasets
…, E Saboori, A Allahyar - 2012 Proceedings of the …, 2012 - ieeexplore.ieee.org
In the most intrusion detection systems (IDS), a system tries to learn characteristics of different
type of attacks by analyzing packets that sent or received in network. These packets have …
type of attacks by analyzing packets that sent or received in network. These packets have …
FERAL: network-based classifier with application to breast cancer outcome prediction
A Allahyar, J De Ridder - Bioinformatics, 2015 - academic.oup.com
Motivation: Breast cancer outcome prediction based on gene expression profiles is an
important strategy for personalize patient care. To improve performance and consistency of …
important strategy for personalize patient care. To improve performance and consistency of …
Multi-contact 4C: long-molecule sequencing of complex proximity ligation products to uncover local cooperative and competitive chromatin topologies
C Vermeulen, A Allahyar, BAM Bouwman… - Nature …, 2020 - nature.com
We present the experimental protocol and data analysis toolbox for multi-contact 4C (MC-4C),
a new proximity ligation method tailored to study the higher-order chromatin contact …
a new proximity ligation method tailored to study the higher-order chromatin contact …
[HTML][HTML] Formalin-Fixed, Paraffin-Embedded–Targeted Locus Capture: A Next-Generation Sequencing Technology for Accurate DNA-Based Gene Fusion Detection in …
…, RWJ Meijers, JF Swennenhuis, A Allahyar… - The Journal of Molecular …, 2023 - Elsevier
Chromosomal rearrangements are important drivers in cancer, and their robust detection is
essential for diagnosis, prognosis, and treatment selection, particularly for bone and soft …
essential for diagnosis, prognosis, and treatment selection, particularly for bone and soft …
Targeted cohesin loading characterizes the entry and exit sites of loop extrusion trajectories
The cohesin complex (SMC1-SMC3-RAD21) shapes chromosomes by DNA loop extrusion,
but individual extrusion trajectories were so far unappreciable in vivo. Here, we site-…
but individual extrusion trajectories were so far unappreciable in vivo. Here, we site-…
[HTML][HTML] A data-driven interactome of synergistic genes improves network-based cancer outcome prediction
Robustly predicting outcome for cancer patients from gene expression is an important
challenge on the road to better personalized treatment. Network-based outcome predictors (NOPs)…
challenge on the road to better personalized treatment. Network-based outcome predictors (NOPs)…