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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Software for a normalization scheme that corrects nucleotide composition bias, mappability variations and differential local DNA structural effects in deep sequencing data.
Proper citation: BEADS (RRID:SCR_013229) Copy
http://sourceforge.net/projects/congrpe/
A de novo assembly algorithm for Next-Generation Sequencing technology.
Proper citation: CongrPE (RRID:SCR_013190) Copy
http://sourceforge.net/projects/callsim/
A software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion Torrent and 454 data.
Proper citation: CallSim (RRID:SCR_013192) Copy
http://sourceforge.net/projects/sapas/
A RNA-seq method for polyA research.
Proper citation: SAPAS (RRID:SCR_013195) Copy
http://derisilab.ucsf.edu/index.php?software=105
An accurate and efficient algorithm for discovering canonical and non-canonical splice junctions in short read datasets.
Proper citation: HMMSplicer (RRID:SCR_013315) Copy
http://www.bcgsc.ca/platform/bioinfo/software/trans-abyss
A software pipeline for analyzing ABySS-assembled contigs from shotgun transcriptome data.
Proper citation: Trans-ABySS (RRID:SCR_013322) Copy
Software for estimating mRNA abundances from the whole transcriptome shotgun sequencing (RNA-Seq) data based on effective length normalization using uniquely mappable areas of gene and mRNA isoform models. Using the known transcriptome sequence model such as RefSeq, NEUMA pre-computes the numbers of all possible gene-wise and isoform-wise informative reads: the former being sequences mapped to all mRNA isoforms of a single gene exclusively and the latter uniquely mapped to a single mRNA isoform. The results are used to estimate the effective length of genes and transcripts, taking experimental distributions of fragment size into consideration. NEUMA covers a large proportion of genes and mRNA isoforms and offers a measure of consistency (''consistency coefficient'') for each gene between an independently measured gene-wise level and the sum of the isoform levels. NEUMA is applicable to both paired-end and single-end RNA-Seq data.
Proper citation: NEUMA (RRID:SCR_013324) Copy
http://code.google.com/p/chimerascan/
Software package that detects gene fusions in paired-end RNA sequencing (RNA-Seq) datasets. Used for detection of chimeric transcripts in high-throughput sequencing data.
Proper citation: chimerascan (RRID:SCR_013298) Copy
A free web-based application for the processing of high-throughput RNA-Seq data from next generation sequencing (NGS) platforms, such as Genome Analyzer of Illumina Inc. (Solexa) and SOLiD of Applied Biosystems (SOLiD).
Proper citation: wapRNA (RRID:SCR_013292) Copy
http://graylab.jhu.edu/docking/rosetta/
Predicts the structure of a protein-protein complex from the individual structures of the monomer components.
Proper citation: RosettaDock (RRID:SCR_013393) Copy
http://arrayoligosel.sourceforge.net/
Software program to systematically design gene specific long oligonucleotide probes for entire genomes, for the purpose of developing whole genome microarrays. For each open reading frame, the program optimizes the oligo selection based upon several parameters, including uniqueness in the genome, sequence complexity, lack of self-binding, GC content and proximity to the 3''end of the gene.
Proper citation: ArrayOligoSelector (RRID:SCR_013494) Copy
http://www.eisenlab.org/eisen/?page_id=42
Software to graphically browse results of clustering and other analyses from Cluster.
Proper citation: TreeView (RRID:SCR_013503) Copy
http://www.eisenlab.org/eisen/?page_id=41
Software to process fluorescent images of microarrays.
Proper citation: ScanAlyze (RRID:SCR_013507) Copy
http://tiger.dbs.nus.edu.sg/cnv-seq/
A method for detecting DNA copy number variation (CNV) using high-throughput sequencing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CNV-seq (RRID:SCR_013357) Copy
http://www.broadinstitute.org/annotation/medea/
THIS RESOURCE IS NO LONGER IN SERVCE, documented June, 2019.Comparative Genomic Visualization with Adobe Flash.
Proper citation: MEDEA (RRID:SCR_013356) Copy
http://pc1664.pharmazie.uni-marburg.de/affinity/
Database of affinity data for protein-ligand complexes of the Protein Data Bank (PDB) providing direct and free access to the experimental affinity of a given complex structure. Affinity data are exclusively obtained from the scientific literature. As of Thursday, May 01st, 2014, AffinDB contains 748 affinity values covering 474 different PDB complexes. More than one affinity value may be associated with a single PDB complex, which is most frequently due to multiple references reporting affinity data for the same complex. AffinDB provides access to data in three different forms:
# Summary information for PDB entry
# Affinity information window
# Tabular reports
Proper citation: AffinDB (RRID:SCR_001690) Copy
http://mech.ctb.pku.edu.cn/protisa/
Database of confirmed translation initiation sites (TISs) for prokaryotic genomes. The confirmed data has supporting evidence from different sources, including experiments records in the public protein database Swiss-Prot, literature, conserved domain search and sequence alignment among orthologous genes. Combing with predictions from the-state-of-the-art TIS predictor MED-Start/MED-StartPlus (in release 1.0 & 1.2) and TriTISA (since release 1.4) and annotations on potential regulatory signals, the database can serve as a refined annotation resource for the public database RefSeq.
Proper citation: ProTISA (RRID:SCR_002138) Copy
http://caps.ncbs.res.in/stifdb2/
Database of biotic and abiotic stress responsive genes in Arabidopsis thaliana and Oryza sativa L. with options to identify probable Transcription Factor Binding Sites in their promoters. In the response to biotic stress like Bacteria and abiotic stresses like ABA, drought, cold, salinity, dehydration, UV-B, high light, heat,heavy metals etc, ten specific families of transcription factors in Arabidopsis thaliana and six in Oryza sativa L. are known to be involved. HMM-based models are used to identify binding sites of transcription factors belonging to these families. They have also consulted literature reports to cross-validate the Transcription Factor Binding Sites predicted by the method.
Proper citation: STIFDB (RRID:SCR_002131) Copy
A publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis.
Proper citation: pSTIING (RRID:SCR_002045) Copy
http://pallab.serc.iisc.ernet.in/gester/
Database of intrinsic terminators of transcription that is comprized of >2,200,000 bacterial terminators identified from a total of 2036 chromosomes and 1508 plasmids. Information about structural parameters of individual terminators such as sequence, length of stem and loop, mismatches and gaps, U-trail, genomic coordinates and gene name and accession number is available in both tabular form and as a composite figure. Summary statistics for terminator profiles of whole genome can be also obtained. Raw data files for individual genomes can be downloaded (.zip files) for detailed investigations. Data is organized into different tiers such that users can fine-tune their search by entering name of the species, or taxon ID or genomes with a certain number of terminators. To visualize the occurrence of the terminators, an interactive map, with the resolution to single gene level, has been developed.
Proper citation: WebGeSTer DB (RRID:SCR_002165) Copy
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