Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Michal Draminski"'
Autor:
Malgorzata Perycz, Michal J. Dabrowski, Marta Jardanowska-Kotuniak, Adria-Jaume Roura, Bartlomiej Gielniewski, Karolina Stepniak, Michał Dramiński, Iwona A. Ciechomska, Bozena Kaminska, Bartosz Wojtas
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-29 (2024)
Abstract The RE1-silencing transcription factor (REST) acts either as a repressor or activator of transcription depending on the genomic and cellular context. REST is a key player in brain cell differentiation by inducing chromatin modifications, inc
Externí odkaz:
https://doaj.org/article/9e43803f2e9b471f8242922568240305
Autor:
Karolina Stępniak, Magdalena A. Machnicka, Jakub Mieczkowski, Anna Macioszek, Bartosz Wojtaś, Bartłomiej Gielniewski, Katarzyna Poleszak, Malgorzata Perycz, Sylwia K. Król, Rafał Guzik, Michał J. Dąbrowski, Michał Dramiński, Marta Jardanowska, Ilona Grabowicz, Agata Dziedzic, Hanna Kranas, Karolina Sienkiewicz, Klev Diamanti, Katarzyna Kotulska, Wiesława Grajkowska, Marcin Roszkowski, Tomasz Czernicki, Andrzej Marchel, Jan Komorowski, Bozena Kaminska, Bartek Wilczyński
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Gliomas are tumors often associated with epigenetics-related gene deregulation. Here the authors reveal an atlas of active enhancers and promoters in benign and malignant gliomas by performing whole-genome mapping of chromatin accessibility, histone
Externí odkaz:
https://doaj.org/article/19342f80dced49aba9a14fb218e8e058
Autor:
Karolina Stępniak, Magdalena A. Machnicka, Jakub Mieczkowski, Anna Macioszek, Bartosz Wojtaś, Bartłomiej Gielniewski, Katarzyna Poleszak, Malgorzata Perycz, Sylwia K. Król, Rafał Guzik, Michał J. Dąbrowski, Michał Dramiński, Marta Jardanowska, Ilona Grabowicz, Agata Dziedzic, Hanna Kranas, Karolina Sienkiewicz, Klev Diamanti, Katarzyna Kotulska, Wiesława Grajkowska, Marcin Roszkowski, Tomasz Czernicki, Andrzej Marchel, Jan Komorowski, Bozena Kaminska, Bartek Wilczyński
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/b62fc9d5186e430bbe14e704ce0460fb
Publikováno v:
Bioinformatics and Biology Insights, Vol 2010, Iss 4, Pp 137-146 (2010)
Externí odkaz:
https://doaj.org/article/175956a4323a44fa992faba8f0bb61f8
Autor:
Paulina Kaminska, Peter L. Ovesen, Mateusz Jakiel, Tomasz Obrebski, Vanessa Schmidt, Magdalena Bieniek, Jasper Anink, Bohdan Paterczyk, Michal Draminski, Anne Mette Gissel Jensen, Sylwia Piatek, Olav M. Andersen, Eleonora Aronica, Thomas E. Willnow, Bozena Kaminska, Michal J. Dabrowski, Anna R. Malik
SorLA, encoded by the geneSORL1, is an intracellular sorting receptor of the VPS10P domain receptor gene family. Although SorLA is best recognized for its ability to shuttle target proteins between intracellular compartments in neurons, recent data s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363d1639ef084bea7d7fc8a8ae5f74b3
https://doi.org/10.1101/2023.04.12.536447
https://doi.org/10.1101/2023.04.12.536447
Autor:
Michał Dramiński, Jacek Koronacki
Publikováno v:
Journal of Statistical Software, Vol 85, Iss 1, Pp 1-28 (2018)
We describe the R package rmcfs that implements an algorithm for ranking features from high dimensional data according to their importance for a given supervised classification task. The ranking is performed prior to addressing the classification tas
Externí odkaz:
https://doaj.org/article/a8b7e3f9c1cb486bbf56e034eeaf995e
Autor:
Marcin Kierczak, Krzysztof Ginalski, Michał Dramiński, Jacek Koronacki, Witold Rudnicki, Jan Komorowski
Publikováno v:
Bioinformatics and Biology Insights, Vol 2009, Iss 3, Pp 109-127 (2009)
Reverse transcriptase (RT) is a viral enzyme crucial for HIV-1 replication. Currently, 12 drugs are targeted against the RT. The low fidelity of the RT-mediated transcription leads to the quick accumulation of drug-resistance mutations. The sequence-
Externí odkaz:
https://doaj.org/article/934494f5f17f4667bfbb68ab2f8dd165
Publikováno v:
Bioinformatics and Biology Insights, Vol 4 (2010)
Motivation Despite more than two decades of research, HIV resistance to drugs remains a serious obstacle in developing efficient AIDS treatments. Several computational methods have been developed to predict resistance level from the sequence of viral
Externí odkaz:
https://doaj.org/article/19db0373fa654a7bb05f128ae87632d5
Autor:
Michal Draminski, Alvaro Rada-Iglesias, Stefan Enroth, Claes Wadelius, Jacek Koronacki, Jan Komorowski
Publikováno v:
Bioinformatics; Jan2008, Vol. 24 Issue 1, p110-110, 1p