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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.
https://www.ebi.ac.uk/thornton-srv/software/PROCHECK/
Software tool to check stereochemical quality of protein structures. Its outputs comprise number of plots in PostScript format and comprehensive residue by residue listing. Includes PROCHECK-NMR for checking quality of structures solved by NMR.
Proper citation: PROCHECK (RRID:SCR_019043) Copy
Web application for visualisation of information derived from residue contact predictions in combination with other sources of information, such as secondary structure predictions, transmembrane helical topology, sequence conservation.Provides interactive interface for researchers in field of protein bioinformatics that are interested in analysing data on given protein.
Proper citation: ConPlot (RRID:SCR_019216) Copy
https://github.com/Sung-Huan/ANNOgesic
Software tool for bacterial/archaeal RNA-Seq based genome annotations. Used for integrating, detecting, predicting, and grouping RNA-Seq data.
Proper citation: ANNOgesic (RRID:SCR_016326) Copy
https://www.rapidnovor.com/antibody-sequencing-service/
Service for monoclonal antibody protein sequencing. It derives the sequences directly from the protein using mass spectrometry and without the need to access the cell line.
Proper citation: REmAb (RRID:SCR_016239) Copy
Data repository for integrative/hybrid structural models of macromolecules and their assemblies. This includes atomistic models as well as multi-scale models consisting of different coarse-grained representations.
Proper citation: PDB-Dev (RRID:SCR_016185) Copy
Software application as an integrated web resource of marmoset biological data. Used to find genomic, expression and alternative splicing data to facilitate the study of animal model for neuropsychiatric and social behavior research and to support biological analyses such as functional (ontology) enrichment analysis and protein-protein-network.
Proper citation: CajaDB (RRID:SCR_016506) Copy
https://www.genome.jp/tools/dinies/
Web server for predicting unknown drug-target interaction networks from various types of biological data in the framework of supervised network inference.
Proper citation: DINIES (RRID:SCR_016505) Copy
http://www.compbio.dundee.ac.uk/jpred/
Software tool for protein secondary structure prediction from the amino acid sequence by the JNet algorithm. Makes also predictions on Solvent Accessibility and Coiled-coil regions.
Proper citation: Jpred (RRID:SCR_016504) Copy
http://bioinf.bio.uth.gr/nat-ncs2
Web server for the detection and evolutionary classification of prokaryotic and eukaryotic nucleobase-cation symporters of the NAT/NCS2 family. Used to scan, identify and evolutionary classify NAT/NCS2 nucleobase transporter proteins.
Proper citation: NAT/NCS2 Hound (RRID:SCR_016473) Copy
https://imaps.genialis.com/iclip
Web server for analysis of high-resolution sequencing data. It can be used with all variants of CLIP,as well as with methods that interrogate RNA or DNA methylation, RNA processing, RNA structure or protein-DNA interactions.
Proper citation: iMaps (RRID:SCR_016705) Copy
https://github.com/tomazc/iCount
Software Python package for protein-RNA interaction analysis. Used for analysis of protein-RNA interactions with iCLIP sequencing data and RNA maps.
Proper citation: iCount (RRID:SCR_016712) Copy
http://projects.biotec.tu-dresden.de/metapocket/
Software tool to identify pockets on protein surface to predict ligand-binding sites.
Proper citation: metaPocket (RRID:SCR_016653) Copy
https://www.ncbi.nlm.nih.gov/Web/Newsltr/Spring04/blastlab.html
Software tool as a program within the standalone BLAST package used to cluster either protein or nucleotide sequences. Used to make non redundant sequence sets.
Proper citation: BLASTClust (RRID:SCR_016641) Copy
https://www.ncbi.nlm.nih.gov/orffinder
Software tool to search for open reading frames (ORFs) in the DNA sequence. The program returns the range of each ORF, along with its protein translation. Used to search newly sequenced DNA for potential protein encoding segments, verify predicted protein. Limited to the subrange of the query sequence up to 50 kb long.
Proper citation: Open Reading Frame Finder (RRID:SCR_016643) Copy
http://cctop.enzim.ttk.mta.hu/
Web application providing transmembrane topology prediction. Server incorporates topology information from existing experimental and computational sources using the probabilistic framework of hidden Markov model. Provides the option to precede the topology prediction with signal peptide prediction and transmembrane globular protein discrimination. Given the amino acid sequence of a putative α helical transmembrane protein, CCTOP predicts its topology i.e. localization of membrane spanning regions and orientation of segments between them.
Proper citation: CCTOP (RRID:SCR_016963) Copy
Program to improve understanding of properties and functions of proteins that are currently unannotated within three most commonly drug protein families: targeted G-protein coupled receptors, ion channels, and protein kinases. Includes Data and Resource Generating Centers (DRGC), Knowledge Management Center (KMC), and Resource Dissemination and Outreach Center (RDOC).
Proper citation: Illuminating the Druggable Genome (RRID:SCR_016924) Copy
Project provides tools and knowledge to maximize the impact of the biological NMR studies. CCPN software facilitates data analysis and software integration. Project promotes the exchange of knowledge and provides training and best practices for the NMR community and has leading role in the development of NMR data sharing standard and coordination of NMR instrumentation proposals. Includes CCPN Data Model for macromolecular NMR and related areas, CcpNmr suite of programs like Analysis for spectrum visualization, resonance assignment and analysis, ChemBuild to create chemical structure templates in an NMR aware manner, FormatConverter for data exchange with common textual NMR formats and SpecView for swift, format independent peak and spectrum visualization.
Proper citation: Collaborative Computing Project for NMR (RRID:SCR_016983) Copy
https://ous-research.no/bioinformatics/
Core facility provides high throughput sequencing data analysis, metagenomics data analysis, proteomics data analysis, protein structure analysis, functional genomics, programming, scripting, and database or web services.
Proper citation: Rikshospitalet-Radiumhospitalet and University of Oslo Bioinformatics Core Facility (RRID:SCR_017152) Copy
http://murphylab.web.cmu.edu/services/SLIF/
SLIF finds fluorescence microscope images in on-line journal articles, and indexes them according to cell line, proteins visualized, and resolution. Images can be accessed via the SLIF Web database. SLIF takes on-line papers and scans them for figures that contain fluorescence microscope images (FMIs). Figures typically contain multiple FMIs, to SLIF must segment these images into individual FMIs. When the FMI images are extracted, annotations for the images (for instance, names of proteins and cell-lines) are also extracted from the accompanying caption text. Protein annotation are also used to link to external databases, such as the Gene Ontology DB. The more detailed process includes: segmentation of images into panels; panel classification, to find FMIs; segmentation of the caption, to find which portions of the caption apply to which panels; text-based entity extraction; matching of extracted entities to database entries; extraction of panel labels from text and figures; and alignment of the text segments to the panels. Extracted FMIs are processed to find subcellular location features (SLFs), and the resulting analyzed, annotated figures are stored in a database, which is accessible via SQL queries.
Proper citation: Subcellular Location Image Finder (RRID:SCR_006723) Copy
Public global Protein Data Bank archive of macromolecular structural data overseen by organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). This site provides information about services provided by individual member organizations and about projects undertaken by wwPDB. Data available via websites of its member organizations.
Proper citation: Worldwide Protein Data Bank (wwPDB) (RRID:SCR_006555) Copy
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