Sentence examples for biological sequence database from inspiring English sources

HMMer is a commonly used package for biological sequence database searching with profile hidden Markov model (HMMs).

Recently, artificial intelligence based techniques like SVM have been used in solving problems in computational biology – including extraction of complex patterns in biological sequence databases and its use in training and classification using SVMs.

The gigantic explosion of biological sequence databases leads to an urgent need for accelerating these computations.

Biologists use these annotations to understand and contextualize data in biological sequence databases.

With the advent of high throughput genomic and proteomic sequencing techniques, we are witnessing a tremendous growth in the sizes of biological sequence databases.

With algorithm improvements and ever-faster expansion of biological sequence databases, sequence comparison has become a basic but critical tool in the post-genomic era.

They also were exposed to mathematical software like Maple and Scientific WorkPlace, the biological sequence databases and BLAST search algorithms, and the RNA sequence prediction program mfold.

Bcheck is implemented as webserver and can also be downloaded for local use from http://rna.tbi.univie.ac.at/bcheck In recent years, biological sequence databases have grown exponentially.

This knowledge has been used to try to predict putative prions in biological sequence databases, though the available methodologies to carry out the task are just a few.

The size of the biological sequence databases is rapidly growing due to large-scale genome projects and the emerging field of metagenomics (Yooseph et al., 2007).

Following this idea, we have generated here a reliable model that uses the compositional bias of PrDs, taking special care on thoroughly benchmarking the algorithm in order to establish realistic confidence intervals for predicting in large biological sequence databases.