Results 171 to 180 of about 4,572,181 (334)

Ultrafast and accurate sequence alignment and clustering of viral genomes. [PDF]

Nat Methods
Zielezinski A, Gudyś A, Barylski J, Siminski K, Rozwalak P, Dutilh BE, Deorowicz S.   +6 more
europepmc   +2 more sources

Pro-malign: Multiple Sequence Alignment Algorithm using Approached Profile [PDF]

, 2018
Ahmed Mokaddem, Amine Bel Haj, Mourad Elloumi   +2 more
openalex   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Multiple sequence alignment with hierarchical clustering.

Nucleic Acids Research, 1988
F. Corpet
semanticscholar   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Peer Review #2 of "SubVis: an interactive R package for exploring the effects of multiple substitution matrices on pairwise sequence alignment (v0.1)"

, 2017
Scott Barlowe, Heather Coan, Robert T. Youker, D Afonnikov, N Kolchanov, M Aftabuddin, S Kundu, A Agrawal, X Huang, S Altschul, S Benner, M Cohen, G Gonnet, J Biro, B Bulka, M Desjardins, S Freeland, N Coordinators, G Crooks, R Green, S Brenner, M Dayhoff, R Schwartz, B Orcutt, A Dean, C Neuhauser, E Grenier, G Golding, A Dunker, C Brown, J Lawson, L Iakoucheva, Z Obradovic, H Dyson, P Wright, J Echave, S Spielman, C Wilke, R Edgar, K Sjlander, E Eyal, S Pietrokovski, I Bahar, R Fredriksson, M Lagerstrm, L Lundin, H Schith, N Goonesekere, B Lee, O Gotoh, W Haque, A Aravind, B Reddy, S Henikoff, S Henikoff, J Henikoff, D Jimenez-Morales, L Adamian, J Liang, D Jones, W Taylor, J Thornton, J Koshi, R Goldstein, G Landan, D Graur, H Li, N Homer, J Ma, S Wang, A May, A Mitrophanov, M Borodovsky, D Mount, T Mller, R Spang, M Vingron, K Nakai, A Kidera, M Kanehisa, S Needleman, C Wunsch, H Pages, P Aboyoun, R Gentleman, S Debroy, U Paila, R Kondam, A Ranjan, W Pearson, W Pearson, D Lipman, C Pommi, S Levadoux, R Sabatier, G Lefranc, M Lefranc, A Prli, F Domingues, M Sippl   +99 more
openalex   +2 more sources

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

Automatic Discovery of Sub-molecular Sequence Domains in Multi-aligned Sequences: A Dynamic Programming Algorithm for Multiple Alignment Segmentation

, 2001
Eric Poe Xing, Denise M. Wolf, Inna Dubchak, Sylvia J. Spengler, Manfred Zorn, Ilya Muchnik, Casimir A. Kulikowski   +6 more
openalex   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

4SALE – A tool for synchronous RNA sequence and secondary structure alignment and editing [PDF]

, 2006
Philipp N Seibel, Tobias Müller, Thomas Dandekar, Jörg Schultz, Matthias Wolf   +4 more
openalex   +1 more source