Talk:Molecular Development - Genetics

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On this website the Discussion Tab or "talk pages" for a topic has been used for several purposes: References - recent and historic that relates to the topic Additional topic information - currently prepared in draft format Links - to related webpages Topic page - an edit history as used on other Wiki sites Lecture/Practical - student feedback Student Projects - online project discussions. Links: Pubmed Most Recent | Reference Tutorial | Journal Searches Glossary Links Glossary: A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Numbers | Symbols | Term Link Cite this page: Hill, M.A. (2024, May 3) Embryology Molecular Development - Genetics. Retrieved from https://embryology.med.unsw.edu.au/embryology/index.php/Talk:Molecular_Development_-_Genetics

10 Most Recent

Note - This sub-heading shows an automated computer PubMed search using the listed sub-heading term. References appear in this list based upon the date of the actual page viewing. Therefore the list of references do not reflect any editorial selection of material based on content or relevance. In comparison, references listed on the content page and discussion page (under the publication year sub-headings) do include editorial selection based upon relevance and availability. (More? Pubmed Most Recent)

Molecular Development

<pubmed limit=5>Molecular Genetic Development</pubmed>

Genetic Development

<pubmed limit=5>Genetic Development</pubmed>

2014

A CRISPR view of development

Genes Dev. 2014 Sep 1;28(17):1859-72. doi: 10.1101/gad.248252.114.

Harrison MM1, Jenkins BV2, O'Connor-Giles KM3, Wildonger J4.

Abstract

The CRISPR (clustered regularly interspaced short palindromic repeat)-Cas9 (CRISPR-associated nuclease 9) system is poised to transform developmental biology by providing a simple, efficient method to precisely manipulate the genome of virtually any developing organism. This RNA-guided nuclease (RGN)-based approach already has been effectively used to induce targeted mutations in multiple genes simultaneously, create conditional alleles, and generate endogenously tagged proteins. Illustrating the adaptability of RGNs, the genomes of >20 different plant and animal species as well as multiple cell lines and primary cells have been successfully modified. Here we review the current and potential uses of RGNs to investigate genome function during development. © 2014 Harrison et al.; Published by Cold Spring Harbor Laboratory Press. KEYWORDS: CRISPR; Cas9; RNA-guided nuclease; development; genome editing; genome engineering PMID 25184674

2013

The Genomic HyperBrowser: an analysis web server for genome-scale data

Nucleic Acids Res. 2013 Apr 30. [Epub ahead of print]

Sandve GK, Gundersen S, Johansen M, Glad IK, Gunathasan K, Holden L, Holden M, Liestøl K, Nygård S, Nygaard V, Paulsen J, Rydbeck H, Trengereid K, Clancy T, Drabløs F, Ferkingstad E, Kalas M, Lien T, Rye MB, Frigessi A, Hovig E. Source Department of Informatics, University of Oslo, PO Box 1080, Blindern, 0316 Oslo, Norway, Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, PO Box 4950, Nydalen, 0424 Oslo, Norway, Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway, Institute for Medical Informatics, The Norwegian Radium Hospital, Oslo University Hospital, PO Box 4950, Nydalen, N-0424 Oslo, Norway, Department of Mathematics, University of Oslo, PO Box 1053, Blindern, 0316 Oslo, Norway, Department of Medical Biology, Faculty of Health Science, University of Tromsø, 9037 Tromsø, Norway, Statistics For Innovation, Norwegian Computing Center, 0314 Oslo, Norway, Bioinformatics Core Facility, Oslo University Hospital and University of Oslo, PO Box 4950 Nydalen, N-0424 Oslo, Norway, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway, Department of Informatics, University of Bergen, PO Box 7803, 5020 Bergen, Norway, Computational Biology Unit, Uni Computing, Uni Research AS, 5020 Bergen, Norway and Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, PO Box 1122 Blindern, 0317 Oslo, Norway. Abstract The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable biological questions. With this opportunity, however, researchers are faced with the challenge of how to best analyze and interpret their genome-scale datasets. A powerful way of representing genome-scale data is as feature-specific coordinates relative to reference genome assemblies, i.e. as genomic tracks. The Genomic HyperBrowser (http://hyperbrowser.uio.no) is an open-ended web server for the analysis of genomic track data. Through the provision of several highly customizable components for processing and statistical analysis of genomic tracks, the HyperBrowser opens for a range of genomic investigations, related to, e.g., gene regulation, disease association or epigenetic modifications of the genome. PMID 23632163

Galaxy

Galaxy is an open, web-based platform for data intensive biomedical research. Whether on this free public server or your own instance, you can perform, reproduce, and share complete analyses.

https://main.g2.bx.psu.edu

NCBI Bookshelf

http://www.addgene.org/ Plasmid Repository

Genetics for Surgeons

Remedica Genetics Series

Patrick J Morrison, MD, FRCPCH, FFPHMI and Roy AJ Spence, OBE, MA, MD, FRCS.

University of Ulster, Queen's University Belfast and Belfast City Hospital Trust London: Remedica; 2005. ISBN-10: 1-901-34669-2 Copyright © 2005, Remedica.

Excerpt

This text is written in non technical language in three main sections: a general overview of the principles in genetics, a section on common genetic disorders that surgeons will encounter, a third section on familial cancers, which, in the case of breast, bowel, and ovarian cancers, account for around 10% of the cancers that surgeons encounter. A fourth section deals with the topics that surgeons and anesthetists should both know, while the glossary at the end of the book allows a quick reference to increasingly common genetics terms.