Search Results for "show"

SnowyOwl is a gene prediction pipeline that uses RNA-Seq data to train and provide hints for the generation of Hidden Markov Model (HMM)-based gene predictions, and to evaluate the resulting models. The pipeline has been validated and streamlined by comparing its predictions to manually curated gene models in three fungal genomes, and its results show substantial increases in sensitivity and selectivity over previous gene predictions. Sensitivity is gained by repeatedly running the HMM gene predictor Augustus with varied input parameters, and selectivity by choosing the models with best homology to known proteins and best agreement to the RNA-Seq data. SnowyOwl has successfully predicted genes in 26 novel fungal genomes. ...

To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently by RNA splicing mechanism. It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data....

...Results: In this article, we present CAME, a seed-extension based approach that identifies chromatin accessibility from NOMe-seq. The efficiency and effectiveness of CAME were demonstrated through comparisons with other existing techniques on both simulated and real data, and the results show that our method not only can precisely identify chromatin accessibility but also outperforms other methods.

Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity allows very efficient scale-up when multiple MIC boards are used in a node (3 cards gives a 14-fold speedup over 6-core BWA-MEM).

A bioinformatics tool to PRe-process and show INformation of SEQuence data. The tool is written in Perl and can be helpful if you want to filter, reformat, or trim your sequence data. It also generates basic statistics for your sequences.

...Ambiguities (things like R, Y, N, W, etc. in a DNA sequence) can be treated like: - consider ambiguities as always different; - consider ambiguity as partially different (e.g. R would be 0.5 different from A or G); - ignore ambiguities in each pairwise comparison; - remove all columns, globally, that show any ambiguity. Pontos was written in Linux, but should run in any system where Java works. Pontos is licensed under the GPL version 3.

Displays mummer/nucmer mappings and prints PNG to stdout via the "show-coords -lcdTH" output. The output file is <coords-output>.png. Command line options allow for different features when producing the image. Within the code there are comment blocks which give examples of how to further customize it i.e. grouping based on name similarity, color, etc. This program is aimed at providing full customization within the limits of the Bio-Graphics module.

3D Genome Tuner draws circular genome map and enables viewing multi-genomes in 3D context. It also provides genome analysis and sequence alignment, making it a powerful tool in genome studies and demonstrations.

--UPDATE-- New Version is now integrated in the official PyMOL plugin repository! --UPDATE-- The BNI (Beyond Normal Interaction)- Tools is a plug in for the PyMOL molecular visualization system which adds additional functionalities and presets to the PyMOL GUI and also adds useful extended commands.

A tool to compare two Protein Sequences and show similarities with the help of dotplot.

FaceIn! is a face recognizing log in application for Linux. You will never have to enter your password anymore! Just show your face to your camera and let the system recognize you and take you to your desktop!