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La metagenòmica és l'estudi genètic d'una comunitat microbiana, i per tant s'hi inclouen totes les espècies que hi habiten, generant així perfils de diversitat biològica.L'anàlisi de les dades obtingudes proporcionen una quantitat desorbitada d'informació, que serà tractada amb eines bioinformàtiques.GAIA és una plataforma web que permet realitzar l' anàlisis de dades metagenòmiques, metatranscriptòmiques i amplicon de manera simplificada per a l'usuari.* Amplicon: s'usa un gen diana com 16s rRNA.* Metagenòmics: tot el genoma de la mostra, DNA.* Metatranscriptòmics: tots els transcriptomes
Un llibre introductori per entendre la bioinformàtica i les tècniques modernes desequenciació (Next Generation Sequenting).Next Generation Sequencing (NGS) és un terme per identificar una tecnologiade seqüenciació de l'ADN i ARN que ha revolucionat el món de la genómica.NGS engloba totes les tecnologies destinades a dur a terme la seqüenciaciómassiva a gran escala de qualsevol àcid nucleic a la actualitat.Les possibilitats de la investigació mèdica i biològica s'han multiplicat durant lesdues últimes dècades amb les tècniques de seqüenciació i especialment ambNGS. NGS és una tècnica molt potent que permet la detecció de tots els tipusde variacions de l'ADN (petites substitucions, delecions o insercions, així comgrans delecions genòmiques d'exons, inversions o translocacions).Aquest llibre ofereix d'una manera succinta què és i com es realitza laseqüenciació amb NGS.
This volume provides a collection of robust protocols for molecular biologists studying comparative genomics. Given the tremendous increase in available biosequence data over the past ten years, this volume is timely, comprehensive, and novel. The volume is intended for molecular biologists, biochemists and geneticists.
Recent decades have witnessed an ever-increasing range and volume of digital data. All elements of the pillars of science-whether observation, experiment, or theory and modeling-are being transformed by the continuous cycle of generation, dissemination, and use of factual information. This is even more so in terms of the re-using and re-purposing of digital scientific data beyond the original intent of the data collectors, often with dramatic results. We all know about the potential benefits and impacts of digital data, but we are also aware of the barriers, the challenges in maximizing the access, and use of such data. There is thus a need to think about how a data infrastructure can enhanc...
The advent of genome sequencing and associated technologies has transformed biologists' ability to measure important classes of molecules and their interactions. This expanded cellular view has opened the field to thousands of interactions that previously were outside the researchers' reach. The processing and interpretation of these new vast quantities of interconnected data call for sophisticated mathematical models and computational methods. Systems biology meets this need by combining genomic knowledge with theoretical, experimental and computational approaches from a number of traditional scientific disciplines to create a mechanistic explanation of cellular systems and processes. Syste...
The critically acclaimed laboratory standard for more than forty years, Methods in Enzymologyis one of the most highly respected publications in the field of biochemistry. Since 1955, each volume has been eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with more than 300 volumes (all of them still in print), the series contains much material still relevant today--truly an essential publication for researchers in all fields of life sciences.This volume and its companions (Volumes 31 and 334) cover all current knowledge concerning hyperthermophilic enzymes. Major topics in this volume include enzyme discovery, saccharolytic enzymes, and proteolytic enzymes.
INTRODUCTION (Paul H. Dear) 1. Database resources for wet-bench scientists (Neil Hall and Lynn Schriml) 2. Navigating sequenced genomes (Melody Clark and Thomas Schlitt) 3. Sequence similarity searches (Jaap Heringa and Walter Pirovano) 4. Gene prediction (Marie-Adele Rajandream) 5. Prediction of non coding transcripts (Alex Bateman and Sam Griffiths-Jones) 6. Finding regulatory elements in DNA sequence (Debraj GuhaThakurta and Gary Stormo) 7. Expressed sequence tags (Arthur Gruber) 8. Protein structure, classification and prediction (Arthur Lesk) 9. Gene ontology (Vineet Sangar) 10. Prediction of protein function (Rodrigo Lopez) 11. Multiple sequence alignment (Burkhard Morgenstern) 12. Inferring phylogenetic relationships from sequence data (Peter Foster) Appendix Index
The living world runs on genomic software - what Dawn Field and Neil Davies call the 'biocode' - the sum of all DNA on Earth. In Biocode, they tell the story of a new age of scientific discovery: the growing global effort to read and map the biocode, and what that might mean for the future. The structure of DNA was identified in 1953, and the whole human genome was mapped by 2003. Since then the new field of genomics has mushroomed and is now operating on an industrial scale. Genomes can now be sequenced rapidly and increasingly cheaply. The genomes of large numbers of organisms from mammals to microbes, have been mapped. Getting your genome sequenced is becoming affordable for many. You too...
In the years since the Human Genome Project, genomics has grown into a big and rapidly developing field driven by bioinformatics technology. The implications for our health and privacy, and our understanding of ecological systems and evolution are profound. This book provides an account of this exciting new science, its impact and its potential.