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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.
http://www.broadinstitute.org/genome_bio/siphy/
Software that implements rigorous statistical tests to detect bases under selection from a multiple alignment data. It takes full advantage of deeply sequenced phylogenies to estimate both unlikely substitution patterns as well as slowdowns or accelerations in mutation rates. It can be applied as an Hidden Markov Model (HMM), in sliding windows, or to specific regions.
Proper citation: SiPhy (RRID:SCR_000564) Copy
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
http://www.sanger.ac.uk/mouseportal/
Database of mouse research resources at Sanger: BACs, targeting vectors, targeted ES cells, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. The Wellcome Trust Sanger Institute generates, characterizes, and uses a variety of reagents for mouse genetics research. It also aims to facilitate the distribution of these resources to the external scientific community. Here, you will find unified access to the different resources available from the Institute or its collaborators. The resources include: 129S7 and C57BL6/J bacterial artificial chromosomes (BACs), MICER gene targeting vectors, knock-out first conditional-ready gene targeting vectors, embryonic stem (ES) cells with gene targeted mutations or with retroviral gene trap insertions, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen.
Proper citation: Sanger Mouse Resources Portal (RRID:SCR_006239) Copy
Software application for annotating character matrix files with ontology terms. Character states can be annotated using Entity-Quality syntax, where entity, quality, and possibly related entities are drawn from requisite ontologies. In addition, taxa (the rows of a character matrix) can be annotated with identifiers from taxonomy ontology. Phenex saves ontology annotations alongside original free text character matrix data using new NeXML format standard for evolutionary data.
Proper citation: Phenex (RRID:SCR_021748) Copy
https://www.bcgsc.ca/resources/software/ntcard
Software tool for estimating k-mer coverage histogram of genomics data. Streaming algorithm for estimating frequencies of k-mers in genomics datasets.
Proper citation: ntCard (RRID:SCR_022010) Copy
https://bioconductor.org/packages/release/bioc/html/Maaslin2.html
SoftwareR package that identifies microbial taxa correlated with factors of interest using generalized linear models and mixed models.Used for efficiently determining multivariable association between clinical metadata and microbial meta'omic features.
Proper citation: MaAsLin2 (RRID:SCR_023241) Copy
https://www.cbcb.umd.edu/software/epiviz
Software package as interactive visualization tool for functional genomics data. Interactive visual analytics for functional genomics data.
Proper citation: Epiviz (RRID:SCR_022796) Copy
https://github.com/ParkerLab/ataqv
Software package for QC and visualization of ATAC-seq results. Used to examine aligned reads and report basic metrics, including reads mapped in proper pairs, optical or PCR duplicates, reads mapping to autosomal or mitochondrial references, ratio of short to mononucleosomal fragment counts, mapping quality, various kinds of problematic alignments.
Proper citation: ataqv (RRID:SCR_023112) Copy
https://github.com/fritzsedlazeck/SURVIVOR
Software tool set for simulating and evaluating SVs, merging and comparing SVs within and among samples, and includes various methods to reformat or summarize SVs. Used for for SV simulation, comparison and filtering.
Proper citation: SURVIVOR (RRID:SCR_022995) Copy
https://github.com/marbl/merqury
Software toolkit for reference free quality, completeness, and phasing assessment for genome assemblies. Genome assembly quality evaluation based on k-mers.
Proper citation: Merqury (RRID:SCR_022964) Copy
https://github.com/virajbdeshpande/AmpliconArchitect
Software package designed to call circular DNA from short read WGS data.Used to identify one or more connected genomic regions which have simultaneous copy number amplification and elucidates architecture of amplicon.Used to reconstruct structure of focally amplified regions using whole genome sequencing and validate it extensively on multiple simulated and real datasets, across wide range of coverage and copy numbers.
Proper citation: AmpliconArchitect (RRID:SCR_023150) Copy
https://bioconductor.org/packages/release/bioc/html/oligo.html
Software R package to analyze oligonucleotide arrays at probe level. Supports Affymetrix (CEL files) and NimbleGen arrays (XYS files). Used for annotation of Affymetrix Gene Array data.
Proper citation: Preprocessing tools for oligonucleotide arrays (RRID:SCR_023726) Copy
Software library and suite of command line tools for working with DNA sequence that takes a k-mer-centric approach to sequence analysis. It is primarily aimed at short-read sequencing data such as that produced by the Illumina platform.
Proper citation: khmer (RRID:SCR_001156) Copy
https://github.com/smithlabcode/riborex
Software R package for identification of differential translation from Ribo-seq data. Computational tool for mapping genome wide differences in translation efficiency.
Proper citation: riborex (RRID:SCR_019104) Copy
https://github.com/agshumate/Liftoff
Software genome annotation lift-over tool capable of mapping genes between two assemblies of the same or closely related species. Aligns genes from reference genome to target genome and finds the mapping that maximizes sequence identity while preserving the structure of each exon, transcript and gene. Used for accurate mapping of gene annotations.
Proper citation: Liftoff (RRID:SCR_026535) Copy
https://github.com/caraweisman/abSENSE
Software to interpret undetected homolog.Method that calculates probability that homolog of given gene would fail to be detected by homology search in given species, even if homolog were present and evolving normally.
Proper citation: abSENSE (RRID:SCR_023223) Copy
https://github.com/marbl/Winnowmap
Software tool as long-read mapping algorithm optimized for mapping ONT and PacBio reads to repetitive reference sequences. Winnowmap2 computes each read mapping through collection of confident subalignments. This approach is more tolerant of structural variation and more sensitive to paralog-specific variants within repeats.
Proper citation: Winnowmap (RRID:SCR_025349) Copy
https://github.com/Kingsford-Group/kourami
Software graph guided assembly for novel human leukocyte antigen allele discovery. Graph guided assembly for HLA haplotypes covering typing exons using high coverage whole genome sequencing data.Implemented in Java and supported on Linux and Mac OS X.
Proper citation: Kourami (RRID:SCR_022280) Copy
https://upsetplot.readthedocs.io/en/stable/
Software Python implementation of UpSet plots to visualize set overlaps.
Proper citation: UpSetPlot (RRID:SCR_023225) Copy
Web based tool to visualize gene expression and metadata annotation distribution throughout single cell dataset or multiple datasets. Interactive viewer for single cell expression. You can click on and hover over cells to get meta information, search for genes to color on and click clusters to show cluster specific marker genes.
Proper citation: UCSC Cell Browser (RRID:SCR_023293) Copy
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