Results 131 to 140 of about 475,267 (360)

Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics

International Journal of Molecular Sciences, 2020
Glycosylation plays critical roles in various biological processes and is closely related to diseases. Deciphering the glycocode in diverse cells and tissues offers opportunities to develop new disease biomarkers and more effective recombinant ...
Xing Li, Zhijue Xu, Xiaokun Hong, Yan Zhang, X. Zou   +4 more
semanticscholar   +1 more source

Reliability-Oriented Bioinformatic Networks Visualization [PDF]

, 2011
We present our protein-protein interaction (PPI) network visualization system RobinViz (reliability-oriented bioinformatic networks visualization). Clustering the PPI network based on gene ontology (GO) annotations or biclustered gene expression data ...
Sözdinler, Melih, Aladağ, Ahmet Emre, Erten, Cesim   +2 more
core   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

Significance of circulating microRNAs in diabetes mellitus type 2 and platelet reactivity: bioinformatic analysis and review

Cardiovascular Diabetology, 2019
In the light of growing global epidemic of type 2 diabetes mellitus (T2DM), significant efforts are made to discover next-generation biomarkers for early detection of the disease.
Justyna Pordzik, D. Jakubik, J. Jarosz-Popek, Z. Wicik, C. Eyileten, S. De Rosa, C. Indolfi, J. Siller-Matula, P. Czajka, M. Postuła   +9 more
semanticscholar   +1 more source

Isolation, Library Preparation, and Bioinformatic Analysis of Historical and Ancient Plant DNA.

Current Protocols in Plant Biology, 2020
The ability to sequence DNA retrieved from ancient and historical material plays a crucial role in reinforcing evolutionary and anthropological inference.
Sergio M. Latorre, Patricia L. M. Lang, H. Burbano, R. Gutaker   +3 more
semanticscholar   +1 more source

Bioinformatics of Selenoproteins

Antioxidants & Redox Signaling, 2020
Significance: Bioinformatics has brought important insights into the field of selenium research. The progress made in the development of computational tools in the last two decades, coordinated with growing genome resources, provided new opportunities to study selenoproteins.
Didac, Santesmasses, Marco, Mariotti, Vadim N, Gladyshev   +2 more
openaire   +3 more sources

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

Molecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh, Nitzan Medina‐Itzhaki, Milena Chekov, Eden Gal‐Swisa, Roba Gabesh‐Wahabi, Inbar Savyon, Inna Naroditsky, Hilary A. Kenny, Basem Fares, Lina Korsensky, Einav Girsh, Liron Berger, Ruth Perets   +12 more
wiley   +1 more source

Is “bioinformatics” dead?

PLOS Biology, 2021
Why would a computational biologist with 40 years of research experience say bioinformatics is dead? The short answer is, in being the Founding Dean of a new School of Data Science, what we do suddenly looks different.
openaire   +4 more sources

Bioinformatic analysis ofp53 response in vivo. [PDF]

, 2003
Bioinformatic analysis ofp53 response in ...
Vadim. Krivokrysenko (7961858)
core  

Bioinformatic analysis of Apolygus lucorum PGs. [PDF]

, 2016
Bioinformatic analysis of Apolygus lucorum PGs.
Kongming Wu (95075), Lili Zhang (120447), Pengjun Xu (478144), Gemei Liang (2212984), Yanhui Lu (332793), Yongjun Zhang (124423), Haijun Xiao (2212987)   +6 more
core   +1 more source