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http://www.ncbi.nlm.nih.gov/popset

Database containing a set of DNA sequences that have been collected to analyse the evolutionary relatedness of a population. The population could originate from different members of the same species, or from organisms from different species. Users may submit a Popset using Sequin.

Proper citation: NCBI Popset (RRID:SCR_005049) Copy   

•   Source: SciCrunch Registry

http://www.manchester.ac.uk/

Public research university in Manchester, England, formed in 2004 by merger of University of Manchester Institute of Science and Technology and Victoria University of Manchester. Second largest university in United Kingdom by enrollment.

Proper citation: University of Manchester; Manchester; United Kingdom (RRID:SCR_004996) Copy   

•   Source: SciCrunch Registry

https://bxcell.com/

Commercial supplier and developer of in vivo antibodies. Provides antibodies and antibody production services.

Proper citation: Bio X Cell (RRID:SCR_004997) Copy   

•   Source: SciCrunch Registry

http://plaza.ufl.edu/sunyijun/ES-Tree.htm

Software for hierarchical Clustering Analysis of Millions of 16S rRNA Pyrosequences in Quasi-linear Time.

Proper citation: ESPRIT-Tree (RRID:SCR_005045) Copy   

•   Source: SciCrunch Registry

http://glioblastoma.alleninstitute.org/

Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment.

Proper citation: Ivy Glioblastoma Atlas Project (RRID:SCR_005044) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/percolator/

Percolator post-processes the results of a shotgun proteomics database search program, re-ranking peptide-spectrum matches so that the top of the list is enriched for correct matches. Shotgun proteomics uses liquid chromatography-tandem mass spectrometry to identify proteins in complex biological samples. We describe an algorithm, called Percolator, for improving the rate of peptide identifications from a collection of tandem mass spectra. Percolator uses semi-supervised machine learning to discriminate between correct and decoy spectrum identifications, correctly assigning peptides to 17% more spectra from a tryptic dataset and up to 77% more spectra from non-tryptic digests, relative to a fully supervised approach. The yeast-01 data is available in tab delimetered format. The SEQUEST parameter file and target database for the yeast and worm data are also available.

Proper citation: Percolator: Semi-supervised learning for peptide identification from shotgun proteomics datasets (RRID:SCR_005040) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/MBCluster.Seq/index.html

Software to cluster genes based on Poisson or Negative-Binomial model for RNA-Seq or other digital gene expression (DGE) data.

Proper citation: MBCluster.Seq (RRID:SCR_005079) Copy   

•   Source: SciCrunch Registry

http://www.biomedcentral.com/1471-2105/13/189

An algorithm to use optical map information directly within the de Bruijn graph framework to help produce an accurate assembly of a genome that is consistent with the optical map information provided. AGORA takes as input two data structures: OpMap ? an ordered list of fragment sizes representing the optical map; and Edges ? a list of de Bruijn graph edges with their corresponding sequences.

Proper citation: AGORA (RRID:SCR_005070) Copy   

•   Source: SciCrunch Registry

https://github.com/AlexeyG/GRASS

A generic algorithm for scaffolding next-generation sequencing assemblies.

Proper citation: GRASS (RRID:SCR_005071) Copy   

•   Source: SciCrunch Registry

http://www.protocol-online.org/

Database of research protocols in a variety of life science fields, it contains protocols contributed by worldwide researchers as well as links to web protocols hosted by worldwide research labs, biotech companies, personal web sites. The data is stored in a MySql relational database. Protocol Online also hosts discipline specific discussion forums (BioForum), and provides a free PubMed search and alerting service (PubAlert).

Proper citation: Protocol Online - Your labs reference book (RRID:SCR_004937) Copy   

•   Source: SciCrunch Registry

http://www.bioinf.boku.ac.at/pub/MapAl/

A software tool for RNA-Seq expression profiling that builds on the established programs Bowtie and Cufflinks. Allowing an incorporation of ''gene models'' already at the alignment stage almost doubles the number of transcripts that can be measured reliably.

Proper citation: MapAl (RRID:SCR_004938) Copy   

•   Source: SciCrunch Registry

http://www.open.ac.uk/

Public research university and the largest university in the UK for undergraduate education. The majority of the OU's undergraduate students are based in the United Kingdom and principally study off-campus; many of its courses can also be studied anywhere in the world.

Proper citation: Open University; Milton Keynes; United Kingdom (RRID:SCR_004931) Copy   

•   Source: SciCrunch Registry

http://www.arb-silva.de/aligner/

Service to align and optionally taxonomically classify your rRNA gene sequences. The results can be combined with any other sequences aligned by SINA or taken from the SILVA databases by concatenation of FASTA files or using the ARB MERGE tool. Note: Submission is currently limited to at most 1000 sequences of at most 6000 bases each. If your requirements exceed this limitation, get Opens internal link in current windowSINA for local installation.

Proper citation: SINA (RRID:SCR_005067) Copy   

•   Source: SciCrunch Registry

http://www.medicine.uiowa.edu/

Medical school of the University of Iowa, located in Iowa City, in the U.S. state of Iowa.

Proper citation: University of Iowa Carver College of Medicine; Iowa; USA (RRID:SCR_005064) Copy   

•   Source: SciCrunch Registry

http://clams.jgi-psf.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 2nd, 2023. Sequence composition based classifier for metagenomic sequences. It works by capturing signatures of each sequence based on the sequence composition. Each sequence is modeled as a walk in a de Bruijn graph with underlying Markov chain properties. ClaMS captures stationary parameters of the underlying Markov chain as well as structural parameters of the underlying de Bruijn graph to form this signature. In practice, for each sequence to binned, such a signature is computed and matched to similar signatures computed for the training sets. The best match that also qualifies the normalized distance cut-off wins. In the case that the best match does not qualify this cut-off, the sequence remains un-binned.

Proper citation: Classifier for Metagenomic Sequences (RRID:SCR_004929) Copy   

•   Source: SciCrunch Registry

http://sri.com/

Independent, nonprofit research institute conducting client sponsored research and development for government agencies, commercial businesses, foundations, and other organizations. SRI also brings its innovations to the marketplace by licensing its intellectual property and creating new ventures. SRI was founded as Stanford Research Institute in 1946 by a group of West Coast industrialists and Stanford University. SRI formally separated from the University in 1970, and we changed our name to SRI International in 1977.

Proper citation: Stanford Research Institute International (RRID:SCR_004926) Copy   

•   Source: SciCrunch Registry

http://www.methodbox.org/

Collaboration environment for sharing variable sets and statistical methods for analysis across social science survey data. MethodBox enables you to browse and download datasets, share methods and scripts, find fellow researchers with similar interests and share your knowledge. MethodBox source available on Google code. Finding the variables you need to support a particular research question can be time consuming. Wading through hundreds of pages of PDF documents, codebooks and metadata and then trying to find the exact column in a huge spreadsheet can be very frustrating. MethodBox gets you to the variables faster and lets you download only the data you need. You can also share your scripts with others to allow them to adopt best practice quicker than before.

Proper citation: MethodBox (RRID:SCR_004928) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/jingyijli/SLIDE.zip

Software package that takes exon boundaries and RNA-Seq data as input to discern the set of mRNA isoforms that are most likely to present in an RNA-Seq sample. It is based on a linear model with a design matrix that models the sampling probability of RNA-Seq reads from different mRNA isoforms. To tackle the model unidentifiability issue, SLIDE uses a modified Lasso procedure for parameter estimation. Compared with deterministic isoform assembly algorithms (e.g., Cufflinks), SLIDE considers the stochastic aspects of RNA-Seq reads in exons from different isoforms and thus has increased power in detecting more novel isoforms. Another advantage of SLIDE is its flexibility of incorporating other transcriptomic data such as RACE, CAGE, and EST into its model to further increase isoform discovery accuracy. SLIDE can also work downstream of other RNA-Seq assembly algorithms to integrate newly discovered genes and exons. Besides isoform discovery, SLIDE sequentially uses the same linear model to estimate the abundance of discovered isoforms.

Proper citation: SLIDE (RRID:SCR_005137) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/viralfusionseq/

A versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base resolution. It combines soft-clipping information, read-pair analysis, and targeted de novo assembly to discover and annotate viral-human fusion events. A simple yet effective empirical statistical model is used to evaluate the quality of fusion breakpoints. Minimal user defined parameters are required.

Proper citation: VFS (RRID:SCR_005138) Copy   

•   Source: SciCrunch Registry

https://github.com/tk2/RetroSeq

A tool for discovery and genotyping of transposable element variants (TEVs) (also known as mobile element insertions) from next-gen sequencing reads aligned to a reference genome in BAM format. The goal is to call TEVs that are not present in the reference genome but present in the sample that has been sequenced. It should be noted that RetroSeq can be used to locate any class of viral insertion in any species where whole-genome sequencing data with a suitable reference genome is available. RetroSeq is a two phase process, the first being the read pair discovery phase where discorandant mate pairs are detected and assigned to a TE class (Alu, SINE, LINE, etc.) by using either the annotated TE elements in the reference and/or aligned with Exonerate to the supplied library of viral sequences.

Proper citation: RetroSeq (RRID:SCR_005133) Copy   

•   Source: SciCrunch Registry