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On page 86 showing 1701 ~ 1720 out of 2,279 results
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  • RRID:SCR_003308

    This resource has 50+ mentions.

https://github.com/gt1/biobambam

Software tools for read pair collation based algorithms on BAM files including * bamcollate2: reads BAM and writes BAM reordered such that alignment or collated by query name * bammarkduplicates: reads BAM and writes BAM with duplicate alignments marked using the BAM flags field * bammaskflags: reads BAM and writes BAM while masking (removing) bits from the flags column * bamrecompress: reads BAM and writes BAM with a defined compression setting. This tool is capable of multi-threading. * bamsort: reads BAM and writes BAM resorted by coordinates or query name * bamtofastq: reads BAM and writes FastQ; output can be collated or uncollated by query name

Proper citation: biobambam (RRID:SCR_003308) Copy   


http://www.nitrc.org/projects/jist/

A native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. This repository maintains the current multi-institutional JIST development tree and is recommended for public use and extension. JIST was originally developed at IACL and MedIC (Johns Hopkins University) and is now also supported by MASI (Vanderbilt University).

Proper citation: JIST: Java Image Science Toolkit (RRID:SCR_008887) Copy   


  • RRID:SCR_007024

    This resource has 10+ mentions.

http://mgc.nci.nih.gov/

NIH initiative project to provide full-length open reading frame (FL-ORF) clones for human, mouse, and rat genes, cow. MGC cDNA clones were obtained by screening of cDNA libraries, by transcript-specific RT-PCR cloning, and by DNA synthesis of cDNA inserts. All MGC sequences are deposited in GenBank and clones can be purchased from distributors of IMAGE consortium. With conclusion of MGC project in March 2009, GenBank records of MGC sequences will be frozen, without further updates. Since definition of what constitutes full-length coding region for some of genes and transcripts for which they have MGC clones will likely change in future, users planning to order MGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as the UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).

Proper citation: Mammalian Gene Collection (RRID:SCR_007024) Copy   


  • RRID:SCR_006800

    This resource has 1000+ mentions.

https://github.com/najoshi/sickle

Software tool for windowed adaptive trimming for fastq files using quality. Supports quality values like Illumina, Solexa, and Sanger. Takes the quality values and slides a window across them whose length is 0.1 times the length of the read.

Proper citation: Sickle (RRID:SCR_006800) Copy   


  • RRID:SCR_008496

    This resource has 50+ mentions.

http://hollywood.mit.edu/burgelab/rescue-ese/

Specific short oligonucleotide sequences that enhance pre-mRNA splicing when present in exons, termed exonic splicing enhancers (ESEs), play important roles in constitutive and alternative splicing (ESE References). A hybrid computational/experimental method, RESCUE-ESE, was recently developed for identifying sequences with ESE activity. In this approach, specific hexanucleotide sequences are identified as candidate ESEs on the basis that they have both significantly higher frequency of occurrence in exons than in introns and also significantly higher frequency in exons with weak (non-consensus) splice sites than in exons with strong (consensus) splice sites. Representative hexamers from ten different classes of candidate ESEs, together with 6 or 7 bases of flanking sequence context on each side, were introduced into a weak (poorly spliced) exon in a splicing reporter construct. These reporter minigenes were then transfected into cultured cells, where they are transcribed and spliced, and the relative level of inclusion of the test exon was assayed by quantitative (radio-labeled) RT-PCR. Point mutants of these sequences were also analyzed to confirm the precise motifs responsible for ESE activity. The RESCUE-ESE approach identified 238 hexamers as candidate ESEs using a large database of human genes of known exon-intron structure containing over 30,000 nonredudant exons. In more recent analyses by Yeo et al., the RESCUE-ESE approach was utilized to predict hexamers as candidate ESEs in other vertebrate genes, namely, Fugu rubipes, Zebrafish and Mouse. This allows the identification of motifs that are conserved in vertebrates. This web server allows a sequence to be checked for presence of these candidate ESE hexamers.

Proper citation: RESCUE-ESE (RRID:SCR_008496) Copy   


http://cellprofiler.org

Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.

Proper citation: CellProfiler Image Analysis Software (RRID:SCR_007358) Copy   


  • RRID:SCR_007180

    This resource has 50+ mentions.

http://www.biojava.org

Project dedicated to providing Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics. Sponsor: BioJava is not formally funded by any grants. Through the OBF they have received sponsorship from Sun Microsystems, Apple Computers and NESCent. The initial development of the phylogenetics module was undertaken as a Google Summer of Code 2007 project in collaboration with NESCent.

Proper citation: BioJava Project (RRID:SCR_007180) Copy   


  • RRID:SCR_009154

    This resource has 1000+ mentions.

http://wpicr.wpic.pitt.edu/WPICCompGen/hclust/hclust.htm

Software application that is a simple clustering method that can be used to rapidly identify a set of tag SNP's based upon genotype data (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: HCLUST (RRID:SCR_009154) Copy   


  • RRID:SCR_005580

    This resource has 50+ mentions.

http://code.google.com/p/seqtrace/

A software application for viewing and processing DNA sequencing chromatograms (trace files) that makes it easy to quickly generate high-quality finished sequences from a large number of trace files. SeqTrace can automatically identify, align, and compute consensus sequences from matching forward and reverse traces, filter low-quality base calls, and perform end trimming of finished sequences. The finished DNA sequences can then be exported to common sequence file formats, such as FASTA. SeqTrace also includes a full-featured trace file viewer and editor. You can view your sequencing chromatograms at a variety of scales and zoom levels, simultaneously view matching forward and reverse traces, edit the called bases, and export individual DNA sequences as well as forward/reverse alignments. SeqTrace supports popular trace file formats, including ABIF, SCF, and ZTR.

Proper citation: SeqTrace (RRID:SCR_005580) Copy   


  • RRID:SCR_009566

    This resource has 10+ mentions.

http://www.imagevis3d.org/

A new volume rendering program developed by the NIH/NCRR Center for Integrative Biomedical Computing (CIBC). The main design goals of ImageVis3D are: simplicity, scalability, and interactivity. Simplicity is achieved with a new user interface that gives an unprecedented level of flexibility (as shown in the images). Scalability and interactivity for ImageVis3D mean that both on a notebook computer as well as on a high end graphics workstation, the user can interactively explore terabyte sized data sets. Finally, the open source nature as well as the strict component-by-component design allow developers not only to extend ImageVis3D itself but also reuse parts of it, such as the rendering core. This rendering core, for instance, is planned to replace the volume rendering subsystems in many applications at the SCI Institute and with their collaborators.

Proper citation: ImageVis3D (RRID:SCR_009566) Copy   


  • RRID:SCR_011848

    This resource has 10000+ mentions.

http://www.usadellab.org/cms/index.php?page=trimmomatic

Software Java pipeline for trimming tasks for Illumina paired end and single ended data. Flexible Trimmer for Illumina Sequence Data. Pair aware preprocessing tool optimized for Illumina next generation sequencing data. Includes several processing steps for read trimming and filtering. Operating systems Unix/Linux, Mac OS, Windows.

Proper citation: Trimmomatic (RRID:SCR_011848) Copy   


  • RRID:SCR_014920

    This resource has 50+ mentions.

http://openbabel.org/wiki/Main_Page

Software toolbox that is used to convert, analyze, or store data from molecular modeling, chemistry, biochemistry and other related areas. This software is used to read, write, and convert into over 110 chemical file formats.

Proper citation: Open Babel (RRID:SCR_014920) Copy   


  • RRID:SCR_015746

    This resource has 10+ mentions.

https://xia2.github.io/

Data processing software that performs X-ray diffraction data processing. It handles multi-pass, multi-wavelength data sets and supports remote access to synchrotron facilities.

Proper citation: xia2 pipeline (RRID:SCR_015746) Copy   


  • RRID:SCR_014966

    This resource has 5000+ mentions.

Ratings or validation data are available for this resource

https://www.gencodegenes.org

Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.

Proper citation: GENCODE (RRID:SCR_014966) Copy   


  • RRID:SCR_016994

    This resource has 1+ mentions.

http://cab.spbu.ru/software/rnaquast/

Software tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. Capable to estimate gene database coverage by raw reads and de novo quality assessment using third party software.

Proper citation: rnaQUAST (RRID:SCR_016994) Copy   


  • RRID:SCR_016110

http://www.splashground.de/~andy/programs/FFindex/

Database and index for huge amounts of small files. Files are stored concatenated in one big data file, with second file contains plain text index, giving name, offset and length of small files.

Proper citation: Ffindex (RRID:SCR_016110) Copy   


  • RRID:SCR_016244

    This resource has 10+ mentions.

http://oufti.org/

Software designed for analysis of microscopy data. It performs sub-pixel precision detection, quantification of cells and fluorescence signals, as well as other image analysis functions.

Proper citation: Oufti (RRID:SCR_016244) Copy   


  • RRID:SCR_016967

    This resource has 1000+ mentions.

https://github.com/rrwick/Porechop

Software tool for finding and removing adapters from Oxford Nanopore reads.

Proper citation: Porechop (RRID:SCR_016967) Copy   


  • RRID:SCR_017645

    This resource has 10+ mentions.

https://urgi.versailles.inra.fr/Tools/PASTEClassifier

Software tool for automatic transposable element classification. Used for searching for structural features and similarity to classify transposable elements.

Proper citation: PASTEClassifier (RRID:SCR_017645) Copy   


  • RRID:SCR_017619

    This resource has 50+ mentions.

https://github.com/fritzsedlazeck/Sniffles

Software tool as structural variation caller using third generation sequencing (PacBio or Oxford Nanopore). It detects all types of SVs (10bp+) using evidence from split-read alignments, high-mismatch regions, and coverage analysis. Used to avoid single molecule long read sequencing high error rates.

Proper citation: Sniffles (RRID:SCR_017619) Copy   



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