Results 21 to 30 of about 1,973,231 (200)

Prognostic Significance of Dysregulated Epigenomic and Chromatin Modifiers in Cervical Cancer

Cells, 2021
To broaden the understanding of the epigenomic and chromatin regulation of cervical cancer, we examined the status and significance of a set of epigenomic and chromatin modifiers in cervical cancer using computational biology.
Aswathy Mary Paul, Madhavan Radhakrishna Pillai, Rakesh Kumar   +2 more
doaj   +1 more source

Evolutionary computation in bioinformatics: a review [PDF]

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2006
This paper provides an overview of the application of evolutionary algorithms in certain bioinformatics tasks. Different tasks such as gene sequence analysis, gene mapping, deoxyribonucleic acid (DNA) fragment assembly, gene finding, microarray analysis, gene regulatory network analysis, phylogenetic trees, structure prediction and analysis of DNA ...
Sankar K. Pal, Sanghamitra Bandyopadhyay, Shubhra Sankar Ray   +2 more
openaire   +2 more sources

The GOBLET Training Portal: A Global Repository of Bioinformatics Training Materials, Courses and Trainers [PDF]

, 2015
SUMMARY: Rapid technological advances have led to an explosion of biomedical data in recent years. The pace of change has inspired new, collaborative approaches for sharing materials and resources to help train life scientists both in the use of cutting ...
Taylor, J., Attwood, Teresa K, Bongcam-Rudloff, E, Gaeta, Bruno, Rother, K, Taylor, J, Gaeta, B., Budd, A, Fernandes, PL, Van Gelder, C., Jimenez, Rafael C, Bongcam-Rudloff, Erik, Fernandes, Pedro L, Watson, M., MacLean, Daniel, Via, A., Fernandes, P.L., Rother, Kristian, Corpas, M., Schneider, M.V., Watson, M, Palagi, PM, Brazas, Michelle D, Via, Allegra, Via, A, Taylor, Jan, MacLean, D, Fernandes, Pedro L., Budd, A., Brazas, M.D., Palagi, Patricia M., Watson, Mick, McGrath, A, Jimenez, Rafael C., Rother, K., Attwood, TK, Korpelainen, Eija, Brazas, MD, Lewitter, F., Attwood, Teresa K., Van Gelder, C, Korpelainen, E., Corpas, Manuel, McGrath, Annette, McGrath, A., Bongcam-Rudloff, E., Bongcam Rudloff, Erik, Corpas, M, Palagi, P.M., Brazas, Michelle D., Budd, Aidan, Korpelainen, E, Lewitter, F, Jimenez, R.C., Schneider, Maria Victoria, Gaeta, B, Lewitter, Fran, Palagi, Patricia M, Schneider, MV, van Gelder, Celia, Jimenez, RC, MacLean, D., Attwood, T.K.   +62 more
core   +1 more source

A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals

Nature Communications, 2016
Using variants from the 1000 Genomes Project, RNA-seq and ChIP-seq data from related projects, this study describes a resource and survey of allele-specific binding and gene expression.
Jieming Chen, Joel Rozowsky, Timur R. Galeev, Arif Harmanci, Robert Kitchen, Jason Bedford, Alexej Abyzov, Yong Kong, Lynne Regan, Mark Gerstein   +9 more
doaj   +1 more source

Agents in Bioinformatics

, 2005
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to ...
LUCK M., Luck, M, Merelli, E, Luck, Michael; id_orcid, MERELLI, Emanuela   +4 more
core   +2 more sources

Genomics and data science: an application within an umbrella

Genome Biology, 2019
Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains.
Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson, Mark Gerstein   +6 more
doaj   +1 more source

PLAS-5k: Dataset of Protein-Ligand Affinities from Molecular Dynamics for Machine Learning Applications

Scientific Data, 2022
Measurement(s) Binding Affinity Technology Type(s) Molecular dynamics simulation/MM-PBSA Factor Type(s) 3D-protein structures Sample Characteristic - Organism NA Sample Characteristic - Environment NA Sample Characteristic - Location ...
Divya B. Korlepara, C. S. Vasavi, Shruti Jeurkar, Pradeep Kumar Pal, Subhajit Roy, Sarvesh Mehta, Shubham Sharma, Vishal Kumar, Charuvaka Muvva, Bhuvanesh Sridharan, Akshit Garg, Rohit Modee, Agastya P. Bhati, Divya Nayar, U. Deva Priyakumar   +14 more
doaj   +1 more source

Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma

iScience, 2023
Summary: The increased amount of tertiary lymphoid structures (TLSs) is associated with a favorable prognosis in patients with lung adenocarcinoma (LUAD).
Yumeng Wang, Huan Lin, Ningning Yao, Xiaobo Chen, Bingjiang Qiu, Yanfen Cui, Yu Liu, Bingbing Li, Chu Han, Zhenhui Li, Wei Zhao, Zimin Wang, Xipeng Pan, Cheng Lu, Jun Liu, Zhenbing Liu, Zaiyi Liu   +16 more
doaj   +1 more source

Bioinformatics’ Challenges to Computer Science [PDF]

, 2008
The workshop Bioinformatics' Challenges to Computer Science covers the topics of data management and integration, modelling and simulation of biological systems and data visualization and image processing. This short paper describes the requirements Bioinformatics has towards computer science, summarizes the papers accepted for the workshop and gives a
Mario Cannataro, Mathilde Romberg, Joakim Sundnes, Rodrigo Weber dos Santos   +3 more
openaire   +2 more sources

Estimating growth patterns and driver effects in tumor evolution from individual samples

Nature Communications, 2020
There are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolution ...
Leonidas Salichos, William Meyerson, Jonathan Warrell, Mark Gerstein   +3 more
doaj   +1 more source