Results 111 to 120 of about 4,572,181 (334)

Implementation of Basic Local Alignment Search for Detection H1N1 Sequence Alignment

International Journal of Trends in Mathematics Education Research, 2019
Bioinformatics is a science that studies the management and analysis of biological information. Bioinformatics includes application of mathematics, statistics, and informatics to biological problems to solve.
Retno Tri Vulandari, Sri Siswanti, Andriani Kusumaningrum Kusumawijaya, Kumaratih Sandradewi   +3 more
doaj   +1 more source

A new feature vector model for alignment-free DNA sequence similarity analysis [PDF]

, 2022
Emre DELIBAŞ
openalex   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

A multi-objective fuzzy model based on enhanced artificial fish Swarm for multiple RNA sequences alignment

Egyptian Informatics Journal
Ribonucleic Acid (RNA) sequence alignment is a fundamental operation in bioinformatics, essential for analyzing the physicochemical and functional characteristics of RNA molecules.
Medhat A. Tawfeek, Ibrahim Alrashdi, Madallah Alruwaili, Gamal Farouk Elhady   +3 more
doaj   +1 more source

Efficient pairwise RNA structure prediction and alignment using sequence alignment constraints

BMC Bioinformatics, 2006
Background We are interested in the problem of predicting secondary structure for small sets of homologous RNAs, by incorporating limited comparative sequence information into an RNA folding model.
Dowell Robin D, Eddy Sean R
doaj   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments

BMC Bioinformatics, 2010
Background While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor and a similar structure; pairwise sequence alignments often fail to ...
Bass Ellen J, Smoot Michael E, Sierk Michael L, Pearson William R   +3 more
doaj   +1 more source

Sequence Alignment

Bioinformatics in Rice Research, 2018
Let x = (x1 . . . xm) and y = (y1 . . . yn) be two sequences of tokens, aka. strings. We assume the lengths m,n are known and a pair of tokens can be compared in constant time.
Manoj Kumar Gupta, G. Gouda, N. Rajesh, R. Donde, S. Sabarinathan, P. Pati, S. K. Rathore, Ramakrishna Vadde, L. Behera   +8 more
semanticscholar   +1 more source

On the Accuracy of Homology Modeling and Sequence Alignment Methods Applied to Membrane Proteins [PDF]

, 2006
Lucy R. Forrest, Christopher L. Tang, Barry Honig   +2 more
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source