Manuel Garber spends much of his time researching Genetics, Gene, Computational biology, Genomics and Genome. His study in Genetics concentrates on Regulation of gene expression, Gene expression profiling, Transcription factor, Chromatin and Whole genome sequencing. His Transcription factor research is multidisciplinary, incorporating elements of Embryonic stem cell, Induced pluripotent stem cell, Non-coding RNA, Transcription and Cell biology.
His Gene research is mostly focused on the topic RNA. In his study, Transcriptome, Annotation, RNA-Seq, Genomic library and GENCODE is inextricably linked to Sequence analysis, which falls within the broad field of Computational biology. Within one scientific family, he focuses on topics pertaining to Molecular evolution under Genomics, and may sometimes address concerns connected to Conserved sequence.
His primary areas of investigation include Genetics, Gene, Computational biology, Cell biology and RNA. His work in Regulation of gene expression, Genome, Transcription factor, Human genome and Chromatin are all subfields of Genetics research. The Exon, Intergenic region and Genetic variation research Manuel Garber does as part of his general Gene study is frequently linked to other disciplines of science, such as Genetic variability, therefore creating a link between diverse domains of science.
The various areas that Manuel Garber examines in his Computational biology study include RNA-Seq, Transcriptome, Molecular evolution, Comparative genomics and Sequence analysis. The Cell biology study combines topics in areas such as Embryonic stem cell, Downregulation and upregulation, Gene expression and Cell type. His RNA study combines topics in areas such as Molecular biology and Cell, Single-cell analysis.
Manuel Garber mostly deals with Cell, Cell biology, Cell type, Vitiligo and Immunology. He has included themes like Fragile X syndrome, RNA, Molecular biology, Translation and PI3K/AKT/mTOR pathway in his Cell study. He combines subjects such as Chromatin, Locus and Immunoprecipitation with his study of RNA.
His Cell biology research is multidisciplinary, relying on both Interferon-stimulated gene, Transcriptome and Adipocyte. His Epigenetics study incorporates themes from Computational biology and Gene expression. The concepts of his Computational biology study are interwoven with issues in Nuclear organization, Genome and Nucleolus, Nucleus.
Computational biology, Comparative genomics, Transcriptome, Cell biology and Graphical user interface are his primary areas of study. His Computational biology research incorporates themes from Enhancer and Regulation of gene expression, Sequence motif, Epigenetics, Gene. His Comparative genomics research is under the purview of Genomics.
His Transcriptome study combines topics from a wide range of disciplines, such as Immunofluorescence, Autoimmunity and Islet. His research investigates the connection between Islet and topics such as Major histocompatibility complex that intersect with issues in Molecular biology and Transcriptional regulation. His studies in Cell biology integrate themes in fields like Cell culture, Interferon-stimulated gene, Downregulation and upregulation and Single-cell analysis.
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Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Mitchell Guttman;Ido Amit;Manuel Garber;Courtney French.
Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression
Ahmad M. Khalil;Mitchell Guttman;Maite Huarte;Manuel Garber.
Proceedings of the National Academy of Sciences of the United States of America (2009)
Genome sequence, comparative analysis and haplotype structure of the domestic dog
Kerstin Lindblad-Toh;Claire M Wade;Claire M Wade;Tarjei S. Mikkelsen;Tarjei S. Mikkelsen;Elinor K. Karlsson;Elinor K. Karlsson.
A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response
Maite Huarte;Mitchell Guttman;Mitchell Guttman;David Feldser;Manuel Garber.
lincRNAs act in the circuitry controlling pluripotency and differentiation
Mitchell Guttman;Julie Donaghey;Bryce W. Carey;Manuel Garber.
Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs
Mitchell Guttman;Manuel Garber;Joshua Z Levin;Julie Donaghey.
Nature Biotechnology (2010)
Computational methods for transcriptome annotation and quantification using RNA-seq
Manuel Garber;Manfred G Grabherr;Mitchell Guttman;Cole Trapnell;Cole Trapnell.
Nature Methods (2011)
A high-resolution map of human evolutionary constraint using 29 mammals
Kerstin Lindblad-Toh;Manuel Garber;Or Zuk;Michael F. Lin;Michael F. Lin.
Large intergenic non-coding RNA-RoR modulates reprogramming of human induced pluripotent stem cells
Sabine Loewer;Moran N Cabili;Moran N Cabili;Mitchell Guttman;Yuin-Han Loh.
Nature Genetics (2010)
Genome sequence, comparative analysis, and population genetics of the domestic horse.
C. M. Wade;E. Giulotto;S. Sigurdsson;M. Zoli.
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