Search Results for "text analysis"

Bowtie, an ultrafast, memory-efficient short read aligner for short DNA sequences (reads) from next-gen sequencers. Please cite: Langmead B, et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25.

HBAT(Hydrogen Bond Analysis Tool) is a tool to automate the analysis of hydrogen bonds present in a PDB Structure file. HBAT 2 is migrated from PERL to Python. Latest Documentation: https://hbat.abhishek-tiwari.com/ Web Server Version: http://hbat-web.abhishek-tiwari.com Latest Github Release: http://github.com/abhishektiwari/hbat Citation: Tiwari, A., & Panigrahi, S. K. (2007). HBAT: A Complete Package for Analysing Strong and Weak Hydrogen Bonds in Macromolecular Crystal...

...QUAST computes several well-known metrics, including contig accuracy, the number of genes discovered, N50, and others, as well as introducing new ones, like NA50 (see details in the paper and manual). A comprehensive analysis results in summary tables (in plain text, tab-separated, and LaTeX formats) and colorful plots. The tool also produces web-based reports condensing all information in one easy-to-navigate file. QUAST and its three follow-up papers (MetaQUAST, Icarus, QUAST-LG) papers were published in Bioinformatics; the last paper (WebQUAST) is out in Nucl Acid Research.

PlateEditor is a free web application to work with multi-well plates, from creation of layouts to data visualization and aggregation. It is primarily designed as a tool to help scientists working in the field of biology to simplify and fasten the process of data analysis. It is fully client-side: files are never transferred to the server, ensuring complete security and privacy of research data. It doesn't require any installation. - PlateEditor is available at this...

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are...

...This work includes all the Physiochemical Properties- related to Primary Sequence Analysis under a common platform. JAVA, BIOJAVA were used under Platform Independent architecture. The Tool includes Properties of being offline where result can be stored in Text Format, here we can paste more than one sequence and also upload FASTA file to compute Parameters.

This project contains the source code associated with the PLoS Computational Biology publication: "Differential Expression Analysis for Pathways". The paper text can be found here: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002967

Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs.

VANTED - Visualization and Analysis of NeTworks containing Experimental Data At SourceForge the VANTED development history is preserved, only limited amount of development will proceed here. Please head on to the most recent developments, which can be observed at www.vanted.org.

The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.

Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.

BioDare (Biological Data Repository) was developed under the multi-site ROBuST project (http://hallidaylab.bio.ed.ac.uk/ROBuST.html) to support data exchange inside the project. It is a web application which allows data-sharing (including public dissemination), data-processing and analysis, with the main focus on time-series data produced in circadian experiments. The main features of BioDare are: - an online repository for experimental data accompanied by extensive metadata - generation of secondary data (normalized, detrended, averaged …) - graphical output of data, secondary data and rhythm analysis - simple text-based search throughout metadata - biology- and conditions-aware search for data - data aggregation and export - group-based privacy settings for collaborative research

SemaRule Navigator is an Integrated Suite of Open-Source and Free-License Software, placing Semantic and Text Analysis Technologies in the toolbox of Researchers, Students, and Enterprises.

Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.

PubCurator is a biomedical text mining platform and validation helper built on top of Eclipse RCP.

OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.

SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.

UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.