Genome Browser Q-value Software QVALUE Downloading: Features: This software takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values. A point-and-click interface is now available! The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. References: Estimation Methodology: Storey JD. (2002) A direct approach to false discovery rates. Credits: QVALUE was written by Alan Dabney and John Storey.
Cell Signaling Technology MDACC: Cancer Genomics: Tutorials Listed below are several introductory tutorials on microarray and SAGE related topics. Additional courses will be posted here as they are written. Analysis of Microarray Data Course material for the GSBS course "Analysis of Microarray Data". A Close Look at a Microarray Image Web introduction by Keith Baggerly Basic Analysis of a Single Microarray Web introduction by Kevin Coombes Analysis of SAGE Data; An Introduction PowerPoint talk presented in the MD Anderson Bioinformatics Workshop An Introduction to Sweave Pdf version of one talk given at the FDA in 2008.
National Center for Biotechnology Information BioMed Central | The Open Access Publisher Genomes Pages The first completed genomes from viruses, phages and organelles were deposited into the EMBL Database in the early 1980's. Since then, molecular biology's shift to obtain the complete sequences of as many genomes as possible combined with major developments in sequencing technology resulted in hundreds of complete genome sequences being added to the database, including Archaea, Bacteria and Eukaryota. These web pages give access to a large number of complete genomes, help is available to describe the layout. Whole Genome Shotgun Sequences (WGS) Methods using whole genome shotgun data are used to gain a large amount of genome coverage for an organism. More information about WGS projects...
IMP Bioinformatics Group The IMP-IMBA Bioinformatics group was established in August 2007 in recognition of the growing importance of computational biology in biomedical research. We offer inter-disciplinary expertise in biocomputing and information technology. Special thanks to the for their cooperation. Sequence Analysis A major aspect of our work is the functional and structural characterization of biological sequences in close cooperation with experimental partners. Due to the multitude of similar and complementary tools available for protein sequence analysis, it can be valuable to consider the predictions from many tools at once. Using meta-analysis of different prediction results one can typically derive far reaching conclusions that can not be obtained using one automatic procedures alone. Large Scale Data Sets Functional information on sequences are often stored in many individual databases.
DÍA DEL ORGULLO FRIKI: PIKACHURINA Y EL GEN POKÉMON. Hoy 25 de Mayo se celebra el Día del orgullo friki y como en La Ciencia de la Vida estamos orgulloso de ser frikis de la Biología, lo celebraremos recordando un frikada biológica, como es la de poner nombres raros a proteínas o genes. Ya vimos un ejemplo con el gen y la proteína Sonic Hedgehog y ahora hablaremos de una proteína de la matriz extracelular de la retina, en el ojo, con nombre de Pokémon: la pikachurina. Pikachurina. Según la Wikipedia, la pikachurina es una proteína que juega un papel importante en la eficiente transmisión de información visual de los ojos al cerebro. El nombre lo recibió debido a la comparación entre la velocidad de la transmisión y los ágiles y rápidos movimientos de Pikachu, fue un homenaje (bastante friki) por parte de sus descubridores, un equipo de biólogos de la universidad de Osaka en Japón, los cuales esperan que podrá servir para avanzar en la investigación de los tratamientos para la renitis pigmentosa. -------------- Más información:
Azabett's Books Download Free Biology Books Protein Data Bank - RCSB PDB A Structural View of Biology This resource is powered by the Protein Data Bank archive-information about the 3D shapes of proteins, nucleic acids, and complex assemblies that helps students and researchers understand all aspects of biomedicine and agriculture, from protein synthesis to health and disease. As a member of the wwPDB, the RCSB PDB curates and annotates PDB data. The RCSB PDB builds upon the data by creating tools and resources for research and education in molecular biology, structural biology, computational biology, and beyond. Use this website to access curated and integrated biological macromolecular information in the context of function, biological processes, evolution, pathways, and disease states. A Molecular View of HIV Therapy January Molecule of the Month Nuclear Pore Complex Deposition Preparation Tools Data Extraction Small Molecules Ligand Expo: Search the Chemical Component Dictionary for the IDs of released ligands Data Format Conversion 3D Structure Viewers
s BioInteractive - DNA Animations Animation Adenine (A), cytosine (C), guanine (G), and thymine (T) are the components of nucleic acid that make up DNA. In 1950, Erwin Chargaff published a paper stating that in the DNA of any given species, the ratio of adenine to thymine is equal, as is the ratio of cytosine to guanine. This became known as Chargaff's ratio, and it was an important clue for solving the structure of DNA. Chronic myeloid leukemia (CML) is caused by a mutation that leads to an abnormal protein that is always active. The drug Gleevec has a shape that fits into the active site of the abnormal protein and stops its harmful effects. Of the 3 billion letters in the human genome, only 1% directly code for proteins. Reactive molecules, such as free radicals, and solar ultraviolet radiation can lead to mutations in DNA. A new gene can be inserted into a loop of bacterial DNA called a plasmid. The public Human Genome Project started by identifying unique marker sequences distributed throughout the genome. Video Clips