Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Recep Colak"'
Autor:
Yanqi Hao, Recep Colak, Joan Teyra, Carles Corbi-Verge, Alexander Ignatchenko, Hannes Hahne, Mathias Wilhelm, Bernhard Kuster, Pascal Braun, Daisuke Kaida, Thomas Kislinger, Philip M. Kim
Publikováno v:
Cell Reports, Vol 12, Iss 2, Pp 183-189 (2015)
Alternative splicing acts on transcripts from almost all human multi-exon genes. Notwithstanding its ubiquity, fundamental ramifications of splicing on protein expression remain unresolved. The number and identity of spliced transcripts that form sta
Externí odkaz:
https://doaj.org/article/84cadc28cef541d2a67e7163e22ad689
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e107353 (2014)
Advances in sequencing have led to a rapid accumulation of mutations, some of which are associated with diseases. However, to draw mechanistic conclusions, a biochemical understanding of these mutations is necessary. For coding mutations, accurate pr
Externí odkaz:
https://doaj.org/article/6e6fb2cb5bf94ec58f35a250b9f2a400
Autor:
Recep Colak, TaeHyung Kim, Magali Michaut, Mark Sun, Manuel Irimia, Jeremy Bellay, Chad L Myers, Benjamin J Blencowe, Philip M Kim
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 4, p e1003030 (2013)
Intrinsically disordered regions have been associated with various cellular processes and are implicated in several human diseases, but their exact roles remain unclear. We previously defined two classes of conserved disordered regions in budding yea
Externí odkaz:
https://doaj.org/article/b6bcd89f138741b8a35693f0cd2ed4c5
Autor:
Recep Colak, Flavia Moser, Jeffrey Shih-Chieh Chu, Alexander Schönhuth, Nansheng Chen, Martin Ester
Publikováno v:
PLoS ONE, Vol 5, Iss 10, p e13348 (2010)
Computational prediction of functionally related groups of genes (functional modules) from large-scale data is an important issue in computational biology. Gene expression experiments and interaction networks are well studied large-scale data sources
Externí odkaz:
https://doaj.org/article/035a4e4557d64eee9b4072c851b6ceb8
Autor:
Recep Colak, Flavia Moser, Jeffrey Shih-Chieh Chu, Alexander Schönhuth, Nansheng Chen, Martin Ester
Publikováno v:
PLoS ONE, Vol 5, Iss 12 (2010)
Externí odkaz:
https://doaj.org/article/e873bdab1ebb4f4795d8f92efe59e5ce
Autor:
Recep Colak, Ehsan Noei, Kelly Lyons, Sam Molyneux, Yanqi Hao, Jessica Perrie, Tsahi Hayat, Shankar Vembu
Publikováno v:
International Journal on Digital Libraries. 22:197-215
The frequency at which new research documents are being published causes challenges for researchers who increasingly need access to relevant documents in order to conduct their research. Searching across a variety of databases and browsing millions o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f39d994901749de3c2e1d17c67616a
https://doi.org/10.1007/s00799-021-00300-3
https://doi.org/10.1007/s00799-021-00300-3
Autor:
Recep Çolak
Publikováno v:
Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Iss 50, Pp 156-169 (2023)
Bekçilerin görev yaptıkları çarşı veya mahallelerde topluma sundukları hizmetin, görevlerini yerine getirirken gerçekleştirdikleri sözlü veya sözsüz iletişim faaliyetlerinin ve davranışlarının toplum tarafından nasıl algılandı
Externí odkaz:
https://doaj.org/article/9f0585ce4495439a94f4558503cd21ff
Autor:
Thomas Kislinger, Daisuke Kaida, Hannes Hahne, Mathias Wilhelm, Carles Corbi-Verge, Yanqi Hao, Alexander Ignatchenko, Recep Colak, Pascal Braun, Philip M. Kim, Joan Teyra, Bernhard Kuster
Publikováno v:
Cell Reports, Vol 12, Iss 2, Pp 183-189 (2015)
SummaryAlternative splicing acts on transcripts from almost all human multi-exon genes. Notwithstanding its ubiquity, fundamental ramifications of splicing on protein expression remain unresolved. The number and identity of spliced transcripts that f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ce628e079d5dfcfc40d7c49183615c2
https://doi.org/10.1016/j.celrep.2015.06.031
https://doi.org/10.1016/j.celrep.2015.06.031
Autor:
Raheleh Salari, Recep Colak, Alexander Schönhuth, Phuong Dao, Martin Ester, Elai Davicioni, Flavia Moser
Publikováno v:
Bioinformatics
Motivation: Recent genomic studies have confirmed that cancer is of utmost phenotypical complexity, varying greatly in terms of subtypes and evolutionary stages. When classifying cancer tissue samples, subnetwork marker approaches have proven to be s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a5f89a603a802a5ddf933ad5ae87215
http://europepmc.org/articles/PMC2935415
http://europepmc.org/articles/PMC2935415
Autor:
Andrés Felipe Giraldo-Forero, Philip M. Kim, Recep Colak, Joan Teyra, Alexey Strokach, Daniel Witvliet
Publikováno v:
Bioinformatics (Oxford, England). 32(10)
Summary: ELASPIC is a novel ensemble machine-learning approach that predicts the effects of mutations on protein folding and protein–protein interactions. Here, we present the ELASPIC webserver, which makes the ELASPIC pipeline available through a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcdb61845e0a49e65c7b04259a57b7e2
https://pubmed.ncbi.nlm.nih.gov/26801957
https://pubmed.ncbi.nlm.nih.gov/26801957