Search Results for "bed"

...RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and produces statistics about the morphological properties of the root cells and tissues. RTipC is a system for the fully automated detection and classification of root tips in root images obtained either by 2d flat bed scanning or by 3D digital camera imaging. The software provides a robust, efficient and accurate means of phenotyping of roots, by detecting individual root tips and classifying them as belonging to a primary or lateral root. RootGraph is a novel, fully automated and robust approach for the detailed characterization of root traits, based on a graph optimization process. ...

HIGH-THROUGHPUT TABULAR DATA PROCESSOR (HTDP) is Java application that is intended to facilitate data exploration and reduction tasks in large text files resulting from high throughput technologies, e.g. massively parallel sequencing or microarrays. The software has been optimized for microarray and deep parallel sequencing data, however it can accept any character delimited tabular data sets. HTDP can also import, process and convert Variant Call Format (VCF) files ver. 4.0, 4.1 and 4.2...

...We have developed P3BSseq, a parallel processing pipeline for fast, accurate and automatic analysis of BSseq reads that trims, aligns, annotates, records the intermediate results, performs bisulfite conversion quality assessment, generates BED methylome and report files following the NIH standards. P3BSseq outperforms the known BSseq mappers regarding running time, computer hardware requirements. We optimized the P3BSseq parameters for both directional and non-directional libraries, and for both single-end and paired-end reads of Whole Genome and Reduced Representation BSseq. ...

...It performs annotation and enrichment analyses of user-provided genomic regions (SNPs, ChIP-seq binding sites etc.) against >6,000 (human genome) epigenomic features available from the UCSC genome browser. Input - any genome-wide data data in .bed format (tab-delimited text file with chrom, chromStart, chromEnd). Annotation analysis output - detailed annotation of each genomic region in input data. Used to prioritize individual genomic regions by the total number of epigenomic features they co-localize with. Enrichment analysis output - p-values of statistically significant co-localizations of input genome-wide data with genome annotation features selected for the analysis. ...

GenOO-HTS [jee-noo] is an open-source; object-oriented Perl framework specifically developed for the design of High Throughput Sequencing (HTS) analysis tools. The primary aim of GenOO-HTS is to make simple HTS analyses easy and complicated analyses possible. GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data. Using GenOO-HTS as a core development module reduces the overhead...

iPiG targets the integration of peptide spectrum matches (PSMs) from mass spectrometry (MS) peptide identifications into genomic visualisations provided by genome browser such as the UCSC genome browser (http://genome.ucsc.edu/). iPiG takes PSMs from the MS standard format mzIdentML (*.mzid) or in text format and provides results in genome track formats (BED and GFF3 files), which can be easily imported into genome browsers. For more details about iPiG and it's functionallity, please see "iPiG: Integrating Peptide Spectrum Matches Into Genome Browser Visualizations" Mathias Kuhring and Bernhard Y. Renard (http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0050246)

CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74

SeqGenome Browser, a mini cross-platform local genome browser, was designed for visualizing next-generation sequencing data. It is light, fast and easy to use.

BEDTools is a suite of utilities for comparing genomic features in BED format. These utilities allow one to quickly address tasks such as: 1. Intersecting two BED files. 2. Merge overlapping features. 3. Paired-end overlaps.

TSE is a test bed for a web service approach to federating taxonomic name databases. Put in English, it takes your query and talks to a number of different databases, asking each one whether they contain that name.