Results 41 to 50 of about 26,875,751 (309)

Integrated genome sizing (IGS) approach for the parallelization of whole genome analysis

open access: yesBMC Bioinformatics, 2018
Background The use of whole genome sequence has increased recently with rapid progression of next-generation sequencing (NGS) technologies. However, storing raw sequence reads to perform large-scale genome analysis pose hardware challenges.
Peter Sona   +13 more
doaj   +1 more source

HOPE (SOLTI-1903) breast cancer study: real-world, patient-centric, clinical practice study to assess the impact of genomic data on next treatment decision-choice in patients with locally advanced or metastatic breast cancer

open access: yesFrontiers in Oncology, 2023
BackgroundMetastatic breast cancer (mBC) causes nearly all BC-related deaths. Next-generation sequencing (NGS) technologies allow for the application of personalized medicine using targeted therapies that could improve patients’ outcomes. However, NGS is
Rubén Olivera-Salguero   +69 more
doaj   +1 more source

The future of legume genetic data resources: Challenges, opportunities, and priorities

open access: yes, 2019
This article is a commentary on the future of legume genetic data resources and summarizes the workshop held in March of 2019 by the Legume Genomic Data Working Group that addressed questions of data resources and priorities for ...
Dickstein, Rebecca   +1 more
core   +1 more source

Large Language Models in Genomics—A Perspective on Personalized Medicine

open access: yesBioengineering
Integrating artificial intelligence (AI), particularly large language models (LLMs), into the healthcare industry is revolutionizing the field of medicine. LLMs possess the capability to analyze the scientific literature and genomic data by comprehending
Shahid Ali   +7 more
doaj   +1 more source

Genomic medicine and data sharing [PDF]

open access: yesBritish Medical Bulletin, 2017
Effective data sharing does not occur in the UK despite being essential for the delivery of high-quality genomic services to patients across clinical specialities and to optimize advances in genomic medicine.Original papers, reviews, guidelines, policy papers and web-resources.Data sharing for genomic medicine requires appropriate infrastructure and ...
Sobia Raza, Alison Hall
openaire   +2 more sources

Accuracy of multi-trait genomic selection using different methods [PDF]

open access: yes, 2011
Background Genomic selection has become a very important tool in animal genetics and is rapidly emerging in plant genetics. It holds the promise to be particularly beneficial to select for traits that are difficult or expensive to measure, such as traits
Veerkamp Roel F   +5 more
core   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Deep Learning Techniques with Genomic Data in Cancer Prognosis: A Comprehensive Review of the 2021–2023 Literature

open access: yesBiology, 2023
Deep learning has brought about a significant transformation in machine learning, leading to an array of novel methodologies and consequently broadening its influence.
Minhyeok Lee
doaj   +1 more source

Data biases in genomics

open access: yesTrends in Genetics
Machine learning (ML) is developing into an inherent part of genomic research due to the ever-increasing amounts of genomic data. However, data-driven algorithms are strongly dependent on good quality and representative data, which can be problematic in genomics due to various reasons. One of these reasons is data biases-flawed or incomplete data often
Lusine Nazaretyan, Martin Kircher
openaire   +2 more sources

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy