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http://swift.cmbi.ru.nl/gv/dssp/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Database of secondary structure assignments (and much more) for all protein entries in the Protein Data Bank (PDB) and the program that calculates DSSP entries from PDB entries. DSSP is distributed on a basis of trust and instructions are available on the site. * Precompiled executables are also available for Linux and Windows. (The Windows .exe file was compiled under Linux using Mingw32, has never seen a Windows environment and should thus be virus-free. Download the source if you want to be 100% sure.) Under Windows the DSSP output does not make it to the console, so redirect it to a file instead: dsspcmbi source.pdb destination.dssp > messages.txt * Several changes have been made to the DSSP program to solve problems with recent PDB files. These are documented in the source code. * FTP access to the DSSP files resides at the CMBI: ftp.cmbi.kun.nl/pub/molbio/data/dssp or ftp://ftp.ebi.ac.uk/pub/databases/dssp/. If you have problems downloading the DSSP files, it is likely that your FTP program is not able to handle tens of thousands of files in one directory. In this case, install a proper FTP program, for example NCFTP. However, it is recommended that you download DSSP files with the rsync command.

Proper citation: Database of Secondary Structure Assignments (RRID:SCR_002725) Copy   

•   Source: SciCrunch Registry

https://github.com/ahmohamed/NetPathMiner

Software that implements a flexible module-based process flow for network path mining and visualization, which can be fully inte-grated with user-customized functions. It supports construction of various types of genome scale networks from three different pathway file formats (KGML, SBML and BioPAX), enabling its utility to most common pathway databases. In addition, it provides different visualization techniques to facilitate the analysis of even thousands of output paths.

Proper citation: NetPathMiner (RRID:SCR_002757) Copy   

•   Source: SciCrunch Registry

http://yu68.github.io/GATE/

Model-based, open source software analysis tool for chromatin states prediction based on time-course epigenetic marks data. It uses a combinatory Finite Mixture model nested with HMM to model the time course marks data in which each single hidden markov model describes the hidden states for a region set across different time points.

Proper citation: GATE (RRID:SCR_002756) Copy   

•   Source: SciCrunch Registry

http://neuinfo.org

Framework for identifying, locating, relating, accessing, integrating, and analyzing information from neuroscience research. Users can search for and add neuroscience-related resources at NIF portal and receive and RRID to track and cite resources within scientific manuscripts.

Proper citation: Neuroscience Information Framework (RRID:SCR_002894) Copy   

•   Source: SciCrunch Registry

http://proteininformationresource.org/

Integrated public bioinformatics resource to support genomic, proteomic and systems biology research and scientific studies. Provides databases and protein sequence analysis tools to scientific community, including Protein Sequence Database which grew out from the Atlas of Protein Sequence and Structure. Conducts research in biomedical text mining and ontology, computational systems biology, and bioinformatics cyberinfrastructure. In 2002 PIR, along with its international partners, EBI (European Bioinformatics Institute) and SIB (Swiss Institute of Bioinformatics), were awarded a grant from NIH to create UniProt, a single worldwide database of protein sequence and function, by unifying the PIR-PSD, Swiss-Prot, and TrEMBL databases. Currently, PIR major activities include: i) UniProt (Universal Protein Resource) development, ii) iProClass protein data integration and ID mapping, iii) PRO protein ontology, and iv) iProLINK protein literature mining and ontology development. The FTP site provides free download for iProClass, PIRSF, and PRO.

Proper citation: Protein Information Resource (RRID:SCR_002837) Copy   

•   Source: SciCrunch Registry

http://www.gramene.org

Curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species to facilitate the study of cross-species comparisons using information generated from projects supported by public funds. It currently hosts annotated whole genomes in over two dozen plant species and partial assemblies for almost a dozen wild rice species in the Ensembl browser, genetic and physical maps with genes, ESTs and QTLs locations, genetic diversity data sets, structure-function analysis of proteins, plant pathways databases (BioCyc and Plant Reactome platforms), and descriptions of phenotypic traits and mutations. The web-based displays for phenotypes include the Genes and Quantitative Trait Loci (QTL) modules. Sequence based relationships are displayed in the Genomes module using the genome browser adapted from Ensembl, in the Maps module using the comparative map viewer (CMap) from GMOD, and in the Proteins module displays. BLAST is used to search for similar sequences. Literature supporting all the above data is organized in the Literature database. In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data. Additionally you can access Gramene through an FTP site.

Proper citation: Gramene (RRID:SCR_002829) Copy   

•   Source: SciCrunch Registry

https://omictools.com/cross-platform-transcriptome-analysis-tool

Software package for analyzing transcriptome sequencing data from different sequencing platforms.

Proper citation: CPTRA (RRID:SCR_002944) Copy   

•   Source: SciCrunch Registry

https://genenames.org

Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs.

Proper citation: HGNC (RRID:SCR_002827) Copy   

•   Source: SciCrunch Registry

http://pfind.ict.ac.cn/software/pNovo/index.html

A de novo peptide sequencing algorithm using complementary higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) tandem mass spectra.

Proper citation: pNovo+ (RRID:SCR_002860) Copy   

•   Source: SciCrunch Registry

http://www.nest-simulator.org/

Software tool as simulator for spiking neural network models that focuses on dynamics, size and structure of neural systems rather than on exact morphology of individual neurons. Used for any size spiking neurons networks including models of information processing, models of network activity dynamics, models of learning and plasticity.

Proper citation: NEST Simulator (RRID:SCR_002963) Copy   

•   Source: SciCrunch Registry

http://hapmap.ncbi.nlm.nih.gov/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.

Proper citation: International HapMap Project (RRID:SCR_002846) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/msa/clustalw2/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022. Command line version of multiple sequence alignment program Clustal for DNA or proteins. Alignment is progressive and considers sequence redundancy. No longer being maintained. Please consider using Clustal Omega instead which accepts nucleic acid or protein sequences in multiple sequence formats NBRF/PIR, EMBL/UniProt, Pearson (FASTA), GDE, ALN/ClustalW, GCG/MSF, RSF.

Proper citation: Clustal W2 (RRID:SCR_002909) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/pairheatmap/

A software tool to compare two heatmaps and discover patterns within and across groups. In the context of biology, group can be defined based on gene ontology.

Proper citation: pairheatmap (RRID:SCR_003109) Copy   

•   Source: SciCrunch Registry

https://github.com/quwubin/MFEprimer/

A fast thermodynamics-based software program for checking PCR primer specificity against genomic DNA and mRNA/cDNA sequence databases.

Proper citation: MFEprimer (RRID:SCR_003066) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mipe/

A XML format that enables genomics researchers to store critical information on PCR experiments. Accompagnying perl scripts are written to read from (dbSTS) or write to a MIPE XML file.

Proper citation: MIPE (RRID:SCR_003065) Copy   

•   Source: SciCrunch Registry

https://github.com/timflutre/eqtlbma/wiki

Software package that implements Bayesian statistical methods to detect eQTLs jointly in multiple subgroups (e.g. tissues). Key features are to borrow information across subgroups, to explicitly model heterogeneity (qualitatively and quantitatively), and to borrow information across genes to estimate hyper-parameters from the data (empirical Bayes).

Proper citation: eQtlBma (RRID:SCR_003102) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/triplex.html

Software package that provides functions for identification and visualization of potential intramolecular triplex patterns in DNA sequence. The main functionality is to detect the positions of subsequences capable of folding into an intramolecular triplex (H-DNA) in a much larger sequence. The potential H-DNA (triplexes) should be made of as many canonical nucleotide triplets as possible. The package includes visualization showing the exact base-pairing in 1D, 2D or 3D.

Proper citation: Triplex (RRID:SCR_003061) Copy   

•   Source: SciCrunch Registry

http://elm.eu.org

Computational biology resource for investigating candidate functional sites in eukarytic proteins. Functional sites which fit to the description linear motif are currently specified as patterns using Regular Expression rules. To improve the predictive power, context-based rules and logical filters are being developed and applied to reduce the amount of false positives. The current version of the ELM server provides core functionality including filtering by cell compartment, phylogeny, globular domain clash (using the SMART/Pfam databases) and structure. In addition, both the known ELM instances and any positionally conserved matches in sequences similar to ELM instance sequences are identified and displayed (see ELM instance mapper). Although the ELM resource contains a large collection of functional site motifs, the current set of motifs is not exhaustive.

Proper citation: Eukaryotic Linear Motif (RRID:SCR_003085) Copy   

•   Source: SciCrunch Registry

https://github.com/biojs

An open source JavaScript library of components for visualisation of biological data on the web.

Proper citation: BioJS (RRID:SCR_003119) Copy   

•   Source: SciCrunch Registry

https://github.com/CRG-Barcelona/bwtool/wiki

A command-line utility for bigWig files designed to read bigWig files rapidly and efficiently, providing functionality for extracting data and summarizing it in several ways, globally or at specific regions. Its functionality is subdivided into subprograms that roughly fall into three categories: data extraction, analysis, and data modification, although e.g. in the case of the matrix program or the sax program, the boundary between data extraction and analysis isn't very strong. The data modification programs all have the behavior that a bigWig is inputted and a new bigWig is outputted.

Proper citation: bwtool (RRID:SCR_003035) Copy   

•   Source: SciCrunch Registry