Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Akshay Kakumanu"'
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 10, p e1005795 (2017)
Genomic loci with regulatory potential can be annotated with various properties. For example, genomic sites bound by a given transcription factor (TF) can be divided according to whether they are proximal or distal to known promoters. Sites can be fu
Externí odkaz:
https://doaj.org/article/8b8ae0ce33ee4e7eab365252c246a60b
Autor:
Ruth Grene, Lenwood S. Heath, Elijah Myers, Farzaneh Tabataba, Akshay Kakumanu, Curtis Klumas, Delasa Aghamirzaie, Yihui Fang, Eva Collakova
Publikováno v:
Metabolites, Vol 3, Iss 2, Pp 347-372 (2013)
Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing
Externí odkaz:
https://doaj.org/article/05529687fe9e49cda317fd525c431db3
Autor:
Shaun Mahony, Matthew D Edwards, Esteban O Mazzoni, Richard I Sherwood, Akshay Kakumanu, Carolyn A Morrison, Hynek Wichterle, David K Gifford
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 3, p e1003501 (2014)
Regulatory proteins can bind to different sets of genomic targets in various cell types or conditions. To reliably characterize such condition-specific regulatory binding we introduce MultiGPS, an integrated machine learning approach for the analysis
Externí odkaz:
https://doaj.org/article/0289b6da2442497b8c2d4cd3352d835c
Autor:
Shaun Mahony, Mary Rossillo, Esteban O. Mazzoni, Akshay Kakumanu, Niels Ringstad, Begüm Aydin, Mireia Moreno-Estellés, Görkem Garipler, Nuria Flames
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Nature neuroscience
instname
Nature neuroscience
12 páginas, 7 figuras
Developmental programs that generate the astonishing neuronal diversity of the nervous system are not completely understood and thus present a major challenge for clinical applications of guided cell differentiation strate
Developmental programs that generate the astonishing neuronal diversity of the nervous system are not completely understood and thus present a major challenge for clinical applications of guided cell differentiation strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d644dfa0d31b0e99570304828ccc83a7
http://hdl.handle.net/10261/182608
http://hdl.handle.net/10261/182608
Autor:
Lenwood S. Heath, Yihui Fang, Curtis Klumas, Akshay Kakumanu, Delasa Aghamirzaie, Eva Collakova, Ruth Grene, Elijah Myers, Farzaneh Sadat Tabataba
Publikováno v:
Metabolites
Metabolites; Volume 3; Issue 2; Pages: 347-372
Metabolites, Vol 3, Iss 2, Pp 347-372 (2013)
Metabolites; Volume 3; Issue 2; Pages: 347-372
Metabolites, Vol 3, Iss 2, Pp 347-372 (2013)
Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d5f3c165fb7b655f08530db6ed3826a
http://europepmc.org/articles/PMC3901275
http://europepmc.org/articles/PMC3901275
Autor:
Curtis Klumas, Ruth Grene, Arjun Krishnan, Andy Pereira, Madana M.R. Ambavaram, Utlwang Batlang, Elijah Myers, Akshay Kakumanu
Publikováno v:
Plant Physiology. 160:846-867
Drought stress affects cereals especially during the reproductive stage. The maize (Zea mays) drought transcriptome was studied using RNA-Seq analysis to compare drought-treated and well-watered fertilized ovary and basal leaf meristem tissue. More d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc3bcfeeea0a5a671b7cff59f004b20f
https://doi.org/10.1104/pp.112.200444
https://doi.org/10.1104/pp.112.200444
Autor:
Klaus H. Kaestner, Greg Donahue, Dolim Lee, Akshay Kakumanu, Jason A. Watts, Shaun Mahony, B. Franklin Pugh, Kenneth S. Zaret, Makiko Iwafuchi-Doi
Publikováno v:
Molecular cell. 62(1)
Nuclear DNA wraps around core histones to form nucleosomes, which restricts the binding of transcription factors to gene regulatory sequences. Pioneer transcription factors can bind DNA sites on nucleosomes and initiate gene regulatory events, often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4469b5e0065fb567fe2772796014ca
https://pubmed.ncbi.nlm.nih.gov/27058788
https://pubmed.ncbi.nlm.nih.gov/27058788
Autor:
Mahmoud M. Ibrahim, Akshay Kakumanu, Mohamed Al-Sayegh, Esteban O. Mazzoni, Shaun Mahony, Antje Hirsekorn, Uwe Ohler, Görkem Garipler, Farah Abdul-Rahman, Begüm Aydin, Rahul Satija, Silvia Velasco
Publikováno v:
Cell Stem Cell. 20:205-217.e8
Direct cell programming via overexpression of transcription factors (TFs) aims to control cell fate with the degree of precision needed for clinical applications. However, the regulatory steps involved in successful terminal cell fate programming rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03db57d0b9ecd2b6dd42f62bfaa7b0dd
https://doi.org/10.1016/j.stem.2016.11.006
https://doi.org/10.1016/j.stem.2016.11.006
Autor:
Akshay Kakumanu, Shaun Mahony, Richard I. Sherwood, Hynek Wichterle, David K. Gifford, Esteban O. Mazzoni, Carolyn A. Morrison, Matthew D. Edwards
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319052687
RECOMB
RECOMB
Profiling the genomic binding activity of regulatory proteins in multiple cell types is important for understanding cellular function, as a single regulator can bind to distinct sets of genomic targets depending on the cellular context in which it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5605ba234a5d9a7c6c706732dc466f6
https://doi.org/10.1007/978-3-319-05269-4_14
https://doi.org/10.1007/978-3-319-05269-4_14
Autor:
Shaun, Mahony, Matthew D, Edwards, Esteban O, Mazzoni, Richard I, Sherwood, Akshay, Kakumanu, Carolyn A, Morrison, Hynek, Wichterle, David K, Gifford
Publikováno v:
PLoS Computational Biology
Regulatory proteins can bind to different sets of genomic targets in various cell types or conditions. To reliably characterize such condition-specific regulatory binding we introduce MultiGPS, an integrated machine learning approach for the analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ea439a91980c9aed45fddfc94f08b054
https://pubmed.ncbi.nlm.nih.gov/24675637
https://pubmed.ncbi.nlm.nih.gov/24675637