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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.schrodinger.com/Prime/
Software package that uses homology modeling and fold recognition to make protein structure predictions.
Proper citation: Prime (RRID:SCR_014887) Copy
https://cran.r-project.org/web/packages/glmnet/index.html
Procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. The algorithm uses cyclical coordinate descent in a path-wise fashion.
Proper citation: glmnet (RRID:SCR_015505) Copy
http://www.atgc-montpellier.fr/phyml/
Web phylogeny server based on the maximum-likelihood principle.
Proper citation: PhyML (RRID:SCR_014629) Copy
http://www.statsoft.com/Products/STATISTICA/Product-Index
Analytics platform with various sub platforms, each with specific performance capabilities for tasks such as data analysis, data management, data visualization, and data mining procedures.
Proper citation: STATISTICA (RRID:SCR_014213) Copy
http://rloop.bii.a-star.edu.sg/?pg=qmrlfs-finder
A software which predicts R-loop Forming Sequences (RLFSs) in nucleic acid sequences based on the experimentally supported structural models of RLFSs. The tool identifies and visualizes RLFS coordinates from natural or artificial DNA or RNA input sequences and creates standard-compliant output files for later annotation and analysis.
Proper citation: QmRLFS-finder (RRID:SCR_014584) Copy
http://bioconductor.org/packages/release/bioc/html/topGO.html
Software package which provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.
Proper citation: topGO (RRID:SCR_014798) Copy
Commercial organization that provides services and products in global healthcare and diagnostics.
Proper citation: Hologic (RRID:SCR_015529) Copy
https://gitlab.inria.fr/Phylophile/Treerecs
Open source, species and gene tree reconciliation software. Software integrated phylogenetic tool, from sequences to reconciliations. Used to correct, rearrange and reroot gene trees with regard to given species tree.
Proper citation: Treerecs (RRID:SCR_024497) Copy
https://www.evalue-calculator.com/evalue/
Web application as E-value calculator that compute E-values for variety of outcome measures, including risk ratios, odds ratios, rate ratios, risk differences, hazard ratios, and standardized mean differences.
Proper citation: Evalue (RRID:SCR_024506) Copy
http://www.biogazelle.com/qbaseplus
Software program for quantitative PCR (qPCR) data analysis based on geNorm and qBase technology.
Proper citation: qBasePLUS (RRID:SCR_003370) Copy
Ratings or validation data are available for this resource
http://broadinstitute.github.io/picard/
Java toolset for working with next generation sequencing data in the BAM format.
Proper citation: Picard (RRID:SCR_006525) Copy
A Python-based environment of open-source software for mathematics, science, and engineering. The core packages of SciPy include: NumPy, a base N-dimensional array package; SciPy Library, a fundamental library for scientific computing; and IPython, an enhanced interactive console.
Proper citation: SciPy (RRID:SCR_008058) Copy
https://www.statease.com/software/design-expert/
Statistical software package from Stat-Ease Inc. to perform design of experiments. Offers comparative tests, screening, characterization, optimization, robust parameter design, mixture designs and combined designs.
Proper citation: Design-Expert (RRID:SCR_022671) Copy
http://www-stat.stanford.edu/~tibs/SAM/
Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.
Proper citation: SAM (RRID:SCR_010951) Copy
http://bioinformatics.vub.ac.be/databases/databases.html
Downloadable data set designed to assess the performance of both multiple and pairwise (protein) sequence alignment algorithms, and is extremely easy to use. Currently, the database contains 2 sets, each consisting of a number of subsets with related sequences. It''s main features are: * Covers the entire known fold space (SCOP classification), with subsets provided by the ASTRAL compendium * All structures have high quality, with 100% resolved residues * Structure alignments have been derived carefully, using both SOFI and CE, and Relaxed Transitive Alignment * At most 25 sequences in each subset to avoid overrepresentation of large folds* Automated running, archiving and scoring of programs through a few Perl scripts The Twilight Zone set is divided into sequence groups that each represent a SCOP fold. All sequences within a group share a pairwise Blast e-value of at least 1, for a theoretical database size of 100 million residues. Sequence similarity is thus very low, between 0-25% identity, and a (traceable) common evolutionary origin cannot be established between most pairs even though their structures are (distantly) similar. This set therefore represents the worst case scenario for sequence alignment, which unfortunately is also the most frequent one, as most related sequences share less than 25% identity. The Superfamilies set consists of groups that each represent a SCOP superfamily, and therefore contain sequences with a (putative) common evolutionary origin. However, they share at most 50% identity, which is still challenging for any sequence alignment algorithm. Frequently, alignments are performed to establish whether or not sequences are related. To benchmark this, a second version of both the Twilight Zone and the Superfamilies set is provided, in which to each alignment problem a number of false positives, i.e. sequences not related to the original set, are added. Database specifications: * Current version: 1.65 (concurrent with PDB, SCOP and ASTRAL) * Twilight Zone set (with false positives): 209 groups, 1740 (3280) sequences, 10667 (44056) related pairs * Superfamilies set (with false positives): 425 groups, 3280 (6526) sequences, 19092 (79095) related pairs
Proper citation: SABmark (RRID:SCR_011817) Copy
Software package for statistical analysis and presentation of graphics. Statistical software for data science.
Proper citation: Stata (RRID:SCR_012763) Copy
https://github.com/ElsevierSoftwareX/SOFTX-D-15-00082
Software PCA-based toolkit for compression and analysis of molecular simulation data. Used for compression and analysis of molecular dynamics (MD) simulation data.
Proper citation: pyPCcazip (RRID:SCR_024423) Copy
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