Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Vebjorn Ljosa"'
Autor:
Shantanu Singh, Xiaoyun Wu, Vebjorn Ljosa, Mark-Anthony Bray, Federica Piccioni, David E Root, John G Doench, Jesse S Boehm, Anne E Carpenter
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0131370 (2015)
RNA interference and morphological profiling-the measurement of thousands of phenotypes from individual cells by microscopy and image analysis-are a potentially powerful combination. We show that morphological profiles of RNAi-induced knockdown using
Externí odkaz:
https://doaj.org/article/52406d862e204a53b0c2d076f7e0b51a
Autor:
Sigrun M Gustafsdottir, Vebjorn Ljosa, Katherine L Sokolnicki, J Anthony Wilson, Deepika Walpita, Melissa M Kemp, Kathleen Petri Seiler, Hyman A Carrel, Todd R Golub, Stuart L Schreiber, Paul A Clemons, Anne E Carpenter, Alykhan F Shamji
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e80999 (2013)
Computational methods for image-based profiling are under active development, but their success hinges on assays that can capture a wide range of phenotypes. We have developed a multiplex cytological profiling assay that "paints the cell" with as man
Externí odkaz:
https://doaj.org/article/8c40507e5fdb43ab9bb993e3733562bc
Autor:
Vebjorn Ljosa, Anne E Carpenter
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 12, p e1000603 (2009)
Externí odkaz:
https://doaj.org/article/2ca3bd0b7ff64907abb4a13760b5e192
Autor:
Arnab Bhattacharya, Vebjorn Ljosa
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Encyclopedia of Database Systems (2nd ed.)
Encyclopedia of Database Systems (2nd ed.)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da802a2d0e61cb3b90f579f36e6ab600
https://doi.org/10.1007/978-1-4614-8265-9_629
https://doi.org/10.1007/978-1-4614-8265-9_629
Publikováno v:
Bioinformatics
SummaryCellProfiler Analyst allows the exploration and visualization of image-based data, together with the classification of complex biological phenotypes, via an interactive user interface designed for biologists and data scientists. CellProfiler A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::544141841008c802fbcefc9d918441fb
https://doi.org/10.1093/bioinformatics/btw390
https://doi.org/10.1093/bioinformatics/btw390
Autor:
C. Suk-Yee Hon, Melissa A. Marton, Nicole E. Bodycombe, Sigrun M. Gustafsdottir, Vebjorn Ljosa, Paul A. Clemons, Vlado Dančík, Stuart L. Schreiber, Ellen Winchester, J. Anthony Wilson, Katherine L Sokolnicki, Joshua A. Bittker, Rajiv Narayan, Todd R. Golub, Wendy Winckler, Kejie Li, Jeremy R. Duvall, George B. Grant, Mathias Wawer, Aravind Subramanian, Mark-Anthony Bray, Melissa M. Kemp, Anne E. Carpenter, Bradley K. Taylor, Alykhan F. Shamji
Publikováno v:
Proceedings of the National Academy of Sciences. 111:10911-10916
High-throughput screening has become a mainstay of small-molecule probe and early drug discovery. The question of how to build and evolve efficient screening collections systematically for cell-based and biochemical screening is still unresolved. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c05190eb4d327c3eb9a28cd47962c91
https://doi.org/10.1073/pnas.1410933111
https://doi.org/10.1073/pnas.1410933111
Autor:
Emma Jenkins, Shantanu Singh, Sandeep Daya, Vebjorn Ljosa, Auguste Genovesio, Neil O. Carragher, Mark E. Roberts, Paul A. Clemons, Katherine L. Sokolnicki, Peter D. Caie, Rob ter Horst, Thouis R. Jones, Anne E. Carpenter
Publikováno v:
Journal of Biomolecular Screening
Journal of Biomolecular Screening, SAGE Publications, 2013, 18 (10), pp.1321-1329. ⟨10.1177/1087057113503553⟩
Journal of Biomolecular Screening, 18, 1321-9
Journal of Biomolecular Screening, 18, 10, pp. 1321-9
Journal of Biomolecular Screening, SAGE Publications, 2013, 18 (10), pp.1321-1329. ⟨10.1177/1087057113503553⟩
Journal of Biomolecular Screening, 18, 1321-9
Journal of Biomolecular Screening, 18, 10, pp. 1321-9
Item does not contain fulltext Quantitative microscopy has proven a versatile and powerful phenotypic screening technique. Recently, image-based profiling has shown promise as a means for broadly characterizing molecules' effects on cells in several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c123fb01e2e620a5267282548bb650b2
https://doi.org/10.1177/1087057113503553
https://doi.org/10.1177/1087057113503553
Autor:
Vebjorn Ljosa, Anne E. Carpenter
Publikováno v:
Trends in Biotechnology. 26:527-530
A recent screen of a combinatorial library of fluorescent compounds discovered fluorescent dyes that were able to distinguish myoblasts from differentiated myotubes. New fluorescent dyes that respond to biologically relevant changes in cell state or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7ce40c1b7770b077cde7e9527f35af
https://doi.org/10.1016/j.tibtech.2008.06.008
https://doi.org/10.1016/j.tibtech.2008.06.008
Autor:
Polina Golland, Annie L. Conery, Zihan H Liu, Eyleen J. O’Rourke, Lee Kamentsky, Katherine L Sokolnicki, Anne E. Carpenter, Carolina Wählby, Javier E. Irazoqui, Frederick M. Ausubel, Vebjorn Ljosa, Tammy Riklin-Raviv, Gary Ruvkun, Orane Visvikis
Publikováno v:
Nature methods
We present a toolbox for high-throughput screening of image-based Caenorhabditis elegans phenotypes. The image analysis algorithms measure morphological phenotypes in individual worms and are effective for a variety of assays and imaging systems. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fd1d2010e8d7f8ad47173a1bfb7ec48
https://doi.org/10.1038/nmeth.1984
https://doi.org/10.1038/nmeth.1984
Autor:
Kathleen Petri Seiler, Deepika Walpita, Anne E. Carpenter, Hyman A. Carrel, Vebjorn Ljosa, Paul A. Clemons, Melissa M. Kemp, J. Anthony Wilson, Stuart L. Schreiber, Katherine L. Sokolnicki, Sigrun M. Gustafsdottir, Todd R. Golub, Alykhan F. Shamji
Publikováno v:
PLoS ONE
PLoS ONE, Vol 8, Iss 12, p e80999 (2013)
PLoS ONE, Vol 8, Iss 12, p e80999 (2013)
Computational methods for image-based profiling are under active development, but their success hinges on assays that can capture a wide range of phenotypes. We have developed a multiplex cytological profiling assay that “paints the cell” with as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db434b61724a0ae6ac397536563b3df9
https://pubmed.ncbi.nlm.nih.gov/24312513
https://pubmed.ncbi.nlm.nih.gov/24312513