CGAT: computational genomics analysis toolkit
نویسندگان
چکیده
منابع مشابه
CGAT: computational genomics analysis toolkit
Computational genomics seeks to draw biological inferences from genomic datasets, often by integrating and contextualizing next-generation sequencing data. CGAT provides an extensive suite of tools designed to assist in the analysis of genome scale data from a range of standard file formats. The toolkit enables filtering, comparison, conversion, summarization and annotation of genomic intervals...
متن کاملCGAT: a model for immersive personalized training in computational genomics.
How should the next generation of genomics scientists be trained while simultaneously pursuing high quality and diverse research? CGAT, the Computational Genomics Analysis and Training programme, was set up in 2010 by the UK Medical Research Council to complement its investment in next-generation sequencing capacity. CGAT was conceived around the twin goals of training future leaders in genome ...
متن کاملStructural genomics: computational methods for structure analysis.
The success of structural genomics initiatives requires the development and application of tools for structure analysis, prediction, and annotation. In this paper we review recent developments in these areas; specifically structure alignment, the detection of remote homologs and analogs, homology modeling and the use of structures to predict function. We also discuss various rationales for stru...
متن کاملComputational genomics
We now know how to read the sequences of nucleotide letters that comprise the genome at a rather frightening speed--a several-million-base bacterial genome in several days is not a problem for one of the sequencing centers, and a billion-base eukaryotic genome can be done in less than a year. But reading a text and understanding it are two different things. So how well can we understand the gen...
متن کاملComputational and Statistical Genomics
S: INVITED LECTURES www.stat.berkeley.edu/~biolab/BIRS06/lectures.html Speaker: Professor David B. Allison (Department of Biostatistics, University of Alabama, Birmingham) Title: TBA
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2014
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btt756