Search Results for "genome"

123VCF has been developed to make the filtration step of VCF files efficient and more importantly easy to understand. It can be used in the most important step of whole exome/genome sequencing data analysis in the research and also clinical settings. User manual: https://dl.adbioinformatics.net/123VCF/123VCF_Manual.ver2.pdf If you use 123VCF, please cite its paper: Eidi, M., Abdolalizadeh, S., Moeini, S. et al. 123VCF: an intuitive and efficient tool for filtering VCF files. BMC Bioinformatics 25, 68 (2024). https://doi.org/10.1186/s12859-024-05661-5 _____________________________________ Authors: Milad Eidi, Samaneh Abdolalizadeh, Soheila Moeini Supervisors: Javad Zahiri, PhD - Masoud Garshasbi, PhD Department of Neuroscience, University of California San Diego, California, USA Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran

GMOL is an application designed to visualize genome structure in 3D. It allows users to view the genome structure at multiple scales, including: global, chromosome, loci, fiber, nucleosome, and nucleotide. This software was built upon the pre-existing Jmol package by Prof. Cheng's group. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. ...

HSRA is a MapReduce-based parallel tool for mapping reads from RNA sequencing (RNA-seq) experiments. RNA-seq analyses typically begin by mapping reads to a reference genome in order to determine the location from which the reads were originated, which is a very time-consuming step. This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. ...

...Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/) More details and documentation can be found on the wiki: http://sourceforge.net/p/adamajava/wiki/Home/

Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5’ ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project. MOIRAI is a compact yet flexible workflow system designed to carry out the main steps in data processing and analysis of CAGE data. MOIRAI has a graphical interface allowing wet-lab researchers to create, modify and run analysis workflows. ...

Mauve computes and interactively visualizes genome sequence comparisons. Using FastA or GenBank sequence data, Mauve constructs multiple genome alignments that identify large-scale rearrangement, gene gain, gene loss, indels, and nucleotide substutit

...Our laboratory exploits PCR techniques and next-generation sequencing (NGS) methods, to perform high-throughput integration site monitoring in different clinical trials and scientific projects, based on the delivery of therapeutic genes by viral vectors integrating into the genome of target cells. We process around 1500 samples/year resulting in hundreds of millions of sequencing reads, requiring automation and posing new challenges in data storage, monitoring of sample process and computational tools for analyses. Thus we need to standardize data management and tracking systems, built on a scalable, flexible structure with an easily accessible and web based interface, what is usually called Laboratory Information Management System (LIMS).

LocusVu is a novel Java based software tool that accepts a list of genomic loci (positions on the chromosome) as input and automates fetching of related information (cytogenetic band, gene name, OMIM data etc.) from public databases such as the UCSC genome browser database. It then enables multiple workflows on the retrieved results, like comparing multiple datasets (comparative genomics), viewing neighboring genes for a loci from within the tool itself, or graphically representing these results in bar / pie charts. LocusVu has a simple easy-to-use GUI on the frontend which enables intuitive user interaction with the underlying logic. ...

A Java application used in whole genome analysis to display SNPs in a genomic context. Supplementary data is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks.

...Users can combine tools in automatic analysis workflows, which can be shared. Chipster's interactive visualizations allow users to select datapoints and create new gene lists. For NGS data Chipster contains a built-in genome browser, which highlights SNPs and automatically indexes BAM files and calculates coverage. Chipster’s ability to provide a biologist-friendly access to a powerful analysis platform is technically based on a desktop application user interface, a flexible distributed architecture, and the ability to integrate many types of analysis tools (command line, R/Bioconductor, Java, Web Services etc). ...

The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.

BIOLAP - OLAP for Genome and Biology Data Sets. This project extends Mondrian OLAP to biology data sets. We provide tools to slice and dice genomic sequence similarities and more easily explore large genomic data sets.

GSCope3 performs microarray data analysis to find correlations between BLSOM clusters and any form of omic knowledge expressed in OSML. Includes example metabolic pathway, gene ontology, genome position, transcription and PPI knowledge in OSML format.

MicroArray Genome Imaging and Clustering Tool (MAGIC tool) is a platform-independant java program for analyzing MicroArray data (.tiff scans & .txt godlists) via graphs and clustering operations (including QT-clustering). http://www.bio.davidson.edu/magic