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https://cran.r-project.org/web/packages/geomorph/index.html

Software package for performing all stages of geometric morphometric shape analysis of landmark points and curves in 2-and-3-dimensions as well as 3D surfaces in the R statistical computing environment.

Proper citation: geomorph (RRID:SCR_016482) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.uni-muenster.de/tools/nanopipe2

Web tool for analysis of MinION (ONT) long sequencing reads. Used for analysis of reads generated by the Oxford Nanopore sequencing devices. Provides alignments to any target of interest, alignment statistics and information about polymorphisms.

Proper citation: NanoPipe (RRID:SCR_016852) Copy   

•   Source: SciCrunch Registry

https://www.uke.de/english/research/core-facilities/bioinformatics-core-en.html

Core provides bioinformatics services for researchers at University Medical Center Hamburg Eppendorf and related institutions. Focusing on high throughput sequencing data. Services include data analysis, consulting, software development, and bioinformatical training.

Proper citation: University Medical Center Hamburg-Eppendorf Bioinformatics Core Facility (RRID:SCR_017144) Copy   

•   Source: SciCrunch Registry

http://brainarchitecture.org/allen-atlas-brain-toolbox

Software Matlab toolbox for quantitative analysis of digitized brain wide gene expression data from Allen Atlas of adult mouse brain.

Proper citation: Brain Gene Expression Analysis toolbox (RRID:SCR_017438) Copy   

•   Source: SciCrunch Registry

https://github.com/xavierdidelot/clonalorigin

Software package for comparative analysis of the sequences of a sample of bacterial genomes in order to reconstruct the recombination events that have taken place in their ancestry.

Proper citation: ClonalOrigin (RRID:SCR_016061) Copy   

•   Source: SciCrunch Registry

https://covic.lji.org/

Consortium to unite efforts and resources from experts across globe to advance effective, antibody based therapies against novel coronavirus, SARS-CoV-2. Represents multidisciplinary convergence of structural biology, virologists, immunologists, clinicians and bioinformaticians from academic and industry settings. Collects antibodies for testing as part of CoVICS. Contributed antibodies are blinded and will only be known as code name. Antibody contributors will be able to see performance of their own molecules and take part in analysis. Contributors retain ownership of their antibodies and may continue to publish on them using original antibody names. Goal is to determine relative in vitro potency and in vivo efficacy using centralized standardized assays to identify best individual mAbs and rational combinations of mAbs. Consortium will recommend ideal therapeutic molecules for human use to protect vulnerable populations from COVID-19 disease. CoVIC database (CoVIC-DB) will serve as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them.

Proper citation: Coronavirus Immunotherapy Consortium (RRID:SCR_018258) Copy   

•   Source: SciCrunch Registry

https://cluspro.bu.edu/

Web tool for protein-protein docking. Server provides removal of unstructured protein regions, application of attraction or repulsion, accounting for pairwise distance restraints, construction of homo-multimers, consideration of small-angle X-ray scattering data, and location of heparin-binding sites. Six different energy functions can be used, depending on protein type.This protocol describes use of various options, construction of auxiliary restraints files, selection of energy parameters, and analysis of results.

Proper citation: ClusPro (RRID:SCR_018248) Copy   

•   Source: SciCrunch Registry

https://fractalis.lcsb.uni.lu/

Software as a scalable open-source service for platform-independent interactive visual analysis of biomedical data. It is a service and a library that work in tandem to equip existing platforms with visual analytical capabilities for explorative data analysis.

Proper citation: Fractalis (RRID:SCR_016362) Copy   

•   Source: SciCrunch Registry

http://cole-trapnell-lab.github.io/monocle-release/docs/

Software package for analyzing single cell gene expression, classifying and counting cells, performing differential expression analysis between subpopulations of cells, and reconstructing cellular trajcectories. Works well with very large single-cell RNA-Seq experiments containing tens of thousands of cells or more. Used in computational analysis of gene expression data in single cell gene expression studies to profile transcriptional regulation in complex biological processes and highly heterogeneous cell populations.

Proper citation: Monocle2 (RRID:SCR_016339) Copy   

•   Source: SciCrunch Registry

https://github.com/KM-Lab/Electrographic-Seizure-Analyzer

Software to automate analysis of electrographic seizures based on EEG or LFP data, featuring customizable thresholds and parameters for event detection and parameter setting.

Proper citation: Electrographic Seizure Analyzer (RRID:SCR_016344) Copy   

•   Source: SciCrunch Registry

https://amp.pharm.mssm.edu/biojupies/

Software as an open source web server that automatically generates RNA-seq data analysis of jupyter notebooks. It allows creation and containment of documents that have live code, visualizations and narrative text.

Proper citation: BioJupies (RRID:SCR_016346) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/MAST.html

Software as an open source package for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.

Proper citation: MAST (RRID:SCR_016340) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/metagenomics/

Portal for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. Provides functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets held within the European Nucleotide Archive (ENA).Microbiome analysis resource in 2020.

Proper citation: MGnify (RRID:SCR_016429) Copy   

•   Source: SciCrunch Registry

http://www.pymatgen.org/

Python library for materials analysis codes. Defines core object representations for structures and molecules.

Proper citation: Pymatgen (RRID:SCR_016565) Copy   

•   Source: SciCrunch Registry

https://www.myassays.com/

Software tool for assay data analysis.

Proper citation: MyAssays (RRID:SCR_016562) Copy   

•   Source: SciCrunch Registry

http://imagej.net/Simple_Neurite_Tracer

Software tool for reconstruction, visualization and analysis of neuronal processes .Fiji's framework for semi-automated tracing of neurons and other tube-like structures (blood vessels) through 3D image stacks.

Proper citation: Simple Neurite Tracer (RRID:SCR_016566) Copy   

•   Source: SciCrunch Registry

https://omictools.com/splicing-express-tool

Software suite for Alternative Splicing Events (ASEs) analysis from transcriptome sequencing data in any transcriptome. Used for identification, annotation and visualization. Written in Perl and suitable to run only in UNIX-like systems.

Proper citation: Splicing Express (RRID:SCR_016498) Copy   

•   Source: SciCrunch Registry

https://github.com/PF2-pasteur-fr/SARTools

Software package as a DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data.

Proper citation: SARTools (RRID:SCR_016533) Copy   

•   Source: SciCrunch Registry

http://saclab.tamu.edu/essentiality/transit/

Software tool Python based and open source for statistical analysis of TnSeq data. Provides a graphical interface to three different statistical methods for analyzing TnSeq data capable of identifying essential genes in individual datasets as well as comparative analysis between conditions.

Proper citation: TRANSIT (RRID:SCR_016492) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.mdc-berlin.de/pigx/

Software application as a collection of genomic pipelines used for raw fastq read data of bisulfite experiments, RNAseq samples, single cell dropseq analysis, reads from ChIPseq experiments, analysis of sequence mutations in CRISPR-CAS9 targeted amplicon sequencing data.

Proper citation: PiGx (RRID:SCR_016476) Copy   

•   Source: SciCrunch Registry