MIPS bacterial genomes functional annotation benchmark dataset
نویسندگان
چکیده
منابع مشابه
MIPS bacterial genomes functional annotation benchmark dataset
MOTIVATION Any development of new methods for automatic functional annotation of proteins according to their sequences requires high-quality data (as benchmark) as well as tedious preparatory work to generate sequence parameters required as input data for the machine learning methods. Different program settings and incompatible protocols make a comparison of the analyzed methods difficult. RE...
متن کاملMIPS: analysis and annotation of proteins from whole genomes
The Munich Information Center for Protein Sequences (MIPS-GSF), Neuherberg, Germany, provides protein sequence-related information based on whole-genome analysis. The main focus of the work is directed toward the systematic organization of sequence-related attributes as gathered by a variety of algorithms, primary information from experimental data together with information compiled from the sc...
متن کاملThe automatic annotation of bacterial genomes
With the development of ultra-high-throughput technologies, the cost of sequencing bacterial genomes has been vastly reduced. As more genomes are sequenced, less time can be spent manually annotating those genomes, resulting in an increased reliance on automatic annotation pipelines. However, automatic pipelines can produce inaccurate genome annotation and their results often require manual cur...
متن کاملLarge-Scale Comparative Annotation of Bacterial Genomes
The MSc thesis describes the design and evaluation of a comparative annotation system for prokaryotic genomes. The proposed system makes use of a combination of comparative and abinitio gene finding techniques for accurate annotation. The three main modules described in the system are the markov-model based gene finding module, the alignment based profiler and the comparative module that combin...
متن کاملFunctional Annotation Analytics of Rhodopseudomonas palustris Genomes
Rhodopseudomonas palustris, a nonsulphur purple photosynthetic bacteria, has been extensively investigated for its metabolic versatility including ability to produce hydrogen gas from sunlight and biomass. The availability of the finished genome sequences of six R. palustris strains (BisA53, BisB18, BisB5, CGA009, HaA2 and TIE-1) combined with online bioinformatics software for integrated analy...
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: 2005
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bti380