Skip To Main Content
Mainá Bitar on Muck Rack

Mainá Bitar

As seen in: PLOS, Molecular Cancer, BioRxiv, medRxiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Mainá

Contact Mainá, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

GWAS and 3D chromatin mapping identifies multicancer risk genes associated with hormone-dependent cancers

|
By Isela Rivera, Juliet D. French, Mainá Bitar, Haran Sivakumaran
| PLOS
Citation: Rivera IS, French JD, Bitar M, Sivakumaran H, Nair S, Kaufmann S, et al. (2024) GWAS and 3D chromatin mapping identifies multicancer risk genes associated with hormone-dependent cancers. PLoS Genet 20(11): e1011490. https://doi.org/10.1371/journal.pgen.1011490 Editor: Gregory M. Cooper, HudsonAlpha Institute for Biotechnology, UNITED STATES OF AMERICA Received: July 10, 2024; Accepted: November 6, 2024; Published: November 25, 2024 Copyright: © 2024 Rivera et al.
Open in Who Shared Issue with article?

GWAS and 3D chromatin mapping identifies multicancer risk genes associated with hormone-dependent cancers

|
By Isela Rivera, Juliet D. French, Mainá Bitar, Haran Sivakumaran
| medRxiv
The authors have declared no competing interest. This work was supported by a grant from the Cancer Council Queensland (1156712). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: Ethical approval was granted by the QIMR Berghofer Human Research Ethics Committee (HREC).
Open in Who Shared View Duplicates (47) Issue with article?

HyDRA: a pipeline for integrating long- and short-read RNAseq data for custom transcriptome assembly

|
By Isabela Almeida, Xue Lu, Stacey L. Edwards, Mainá Bitar
| BioRxiv
Abstract ABSTRACT Background: Short-read RNA sequencing (RNAseq) has widely been used to sequence RNA from a wide range of different tissues, developmental stages and species. However, the technology is limited by inherent biases and its inability to capture full-length transcripts. Long-read RNAseq overcomes these issues by providing reads that can span multiple exons, resolve complex repetitive regions and the capability to cover entire transcripts.
Open in Who Shared Issue with article?
See all 4 articles