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https://github.com/FeeLab/seqNMF
Software tool for unsupervised discovery of sequential structure. Used to detect sequences in neural data generated by internal behaviors, such as animal thinking or sleeping. Used for unsupervised discovery of temporal sequences in high dimensional datasets in neuroscience without reference to external markers.
Proper citation: seqNMF (RRID:SCR_017068) Copy
http://www.clustal.org/clustal2/
Software tool for nucleotide sequence alignment. Graphical version of multiple sequence alignment program for DNA and proteins. Windows interface for ClustalW multiple sequence alignment program. Provides integrated environment for performing multiple sequence and profile alignments and analyzing results. Available on Linux, Mac and Windows.
Proper citation: Clustal 2 (RRID:SCR_017055) Copy
https://github.com/hillerlab/GenomeAlignmentTools
Software tool to incorporate newly detected repeat overlapping alignments into pairwise alignment chains. It only aligns local genomic regions that are bounded by colinear aligning blocks, as provided in chains, which makes it feasible to consider all seeds including those that overlap repetitive regions. Used to improve genome alignments by incorporating previously undetected local alignments between repetitive sequences.
Proper citation: RepeatFiller (RRID:SCR_017414) Copy
https://www.ebi.ac.uk/Tools/psa/emboss_matcher/
Software tool for pairwise sequence alignment. Identifies local similarities in two input sequences. One of EMBL-EBI search and sequence analysis tools.
Proper citation: EMBOSSMatcher (RRID:SCR_017252) Copy
https://github.com/aidenlab/juicer.git
Software platform for analyzing kilobase resolution Hi-C data. Open source tool for analyzing terabase scale Hi-C datasets. Allowes to transform raw sequence data into normalized contact maps.
Proper citation: Juicer (RRID:SCR_017226) Copy
Software tool for automated removal of spurious sequences or poorly aligned regions from multiple sequence alignment. Software package for automated alignment trimming in large scale phylogenetic analyses.
Proper citation: trimAl (RRID:SCR_017334) Copy
https://github.com/JosephCrispell/homoplasyFinder/wiki
Software tool to identify and annotate homoplasies on phylogeny and sequence alignment. Used to automatically identify any homoplasies present in simulated and real phylogenetic data. Java application that can be used as standalone tool or within statistical programming environment R.
Proper citation: HomoplasyFinder (RRID:SCR_017300) Copy
https://github.com/SionBayliss/PIRATE
Software pangenomics toolbox for clustering diverged orthologues in bacteria. Used to identify and classify orthologous gene families in bacterial pangenomes over wide range of sequence similarity thresholds.
Proper citation: PIRATE (RRID:SCR_017265) Copy
Software package for advanced Bayesian evolutionary analysis by sampling trees. Used for phylogenetics, population genetics and phylodynamics. Program for Bayesian phylogenetic analysis of molecular sequences. Estimates rooted, time measured phylogenies using strict or relaxed molecular clock models. Framework can be extended by third parties. Comprised of standalone programs including BEAUti, BEAST, MASTER, RBS, SNAPP, MultiTypeTree, BDSKY, LogAnalyser, LogCombiner, TreeAnnotator, DensiTree and package manager.
Proper citation: BEAST2 (RRID:SCR_017307) Copy
https://github.com/ISUgenomics/SequelQC
Software tool that calculates key statistics and generates publication quality plots for raw PacBio Sequel data. Open source software for analyzing PacBio Sequel raw sequence data.
Proper citation: SequelQC (RRID:SCR_017279) Copy
http://topaz.gatech.edu/GeneMark/
Software package for ab initio identification of protein coding regions in RNA transcripts. Algorithm parameters are estimated by unsupervised training which makes unnecessary manually curated preparation of training sets. Sets of assembled eukaryotic transcripts can be analyzed by modified GeneMarkS-T algorithm which part of gene prediction programs GeneMark.
Proper citation: GeneMarkS-T (RRID:SCR_017648) Copy
http://www.epigenomes.ca/data-release/
Network to connect Canadian epigenetics researchers and expand their reach to broader health research community in Canada and beyond. Curated epigenomics sequence focused on common human diseases.
Proper citation: Canadian Epigenetics, Environment and Health Research Consortium Network (RRID:SCR_017491) Copy
http://mordred.bioc.cam.ac.uk/~rapper/rampage.php
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2021.Web based structural analysis tool for any uploaded PDB file, producing Ramachandran plots, computing dihedral angles and extracting sequence from PDB. Used to visualize dihedral angles ψ against φ of amino acid residues in protein structure.
Proper citation: RAMPAGE (RRID:SCR_017590) Copy
Integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. Contains genomes of three Entamoeba species and microarray expression data for E. histolytica. Integrates whole genome sequence and annotation and includes experimental data and environmental isolate sequences provided by community researchers.
Proper citation: AmoebaDB (RRID:SCR_017592) Copy
https://imputationserver.sph.umich.edu/
Web server to implement whole genotype imputation workflow for efficient parallelization of computationally intensive tasks. Service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity. Used to find haplotype segments and reference panel of sequenced genomes, assign genotypes at untyped markers, improve genome coverage, facilitate comparison and combination of studies that use different marker panels, increase power to detect genetic association, and guide fine mapping.
Proper citation: Michigan Imputation Server (RRID:SCR_017579) Copy
http://mummer.sourceforge.net/
Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes.
Proper citation: MUMmer (RRID:SCR_018171) Copy
Multidisciplinary collaboration undertaking genome-wide mutagenesis to functionally annotate the mouse genome and develop new mouse models relevant to human disease. To achieve these goals two major research platforms are carried out: Gene trapping and ENU Mutagenesis. A new challenge is faced in the post-genomic era - the assignment of biological function to the human genome sequence and projecting that assignment into understanding of human health and disease. The Centre for Modeling Human Disease (CMHD) was established to take part in the worldwide initiative to address these challenges. At the CMHD, two fundamentally different, yet complimentary methods are employed to generate mutant mouse models of human disease: chemical mutagenesis by ethylnitrosourea (ENU), and gene trap insertional mutagenesis. The Centre contributes its resources to similar international efforts and is the first of its kind in Canada. The Center is also actively developing other mutagenic strategies including pharmacologic and genetic modifier screens to dissect disease pathways, and novel mutagenic techniques using embryonic stem cells. ENU Database * Statistics for Mouse Physiological Parameters * Search Mutants by Phenotype * Search Mutants by Heritability Gene Trap Database * Search by in vitro Expression Pattern * Search by Gene Trap Sequences CMHD Members Only (must register and login) * Search Mouse Line * Histopathology * Sperm, Tissue, Slide Archiving * CMHD Database Download CMHD Services * Phenotyping * Genetic Mapping * Pathology * Pathology Service Charges
Proper citation: CMHD - Centre for Modeling Human Disease (RRID:SCR_006101) Copy
http://www.nematodes.org/NeglectedGenomes/MOLLUSCA/index.html
A database housing EST information from nine mollusc species, including Lymnaea stagnalis, the pond snail. Co-curated with Angus davison of Nottingham University.
Proper citation: MolluscDB PartiGene database (RRID:SCR_006069) Copy
http://www.biocomputing.it/digit/index.php
The Database of Immunoglobulins and Integrated Tools (DIG IT) is an integrated resource storing sequences of annotated immunoglobulin variable domains of NCBI database and enriched with tools for searching and analyzing them. It contains 145759 heavy chain sequences and 71404 light chain sequences (47168 kappa type and 24236 lambda type) with assigned canonical structures for the hypervariable loops and the data on the type of antigen as well as the pairing information of immunoglobulin heavy and light chains (9672 total pairs). The user can input the immunoglobulin variable domain sequence (amino acid or nucleotide) of interest (heavy chain variable domain sequence; light chain variable domain sequence or both) to retrieve the closest sequences (sorted according to e-value) with complete annotation. The user can also directly query the database by antigen type, canonical structure, germline family in accordance to the requirements.
Proper citation: DIG IT - Database of Immunoglobulins and Integrated Tools (RRID:SCR_005924) Copy
http://db-mml.sjtu.edu.cn/ICEberg/
ICEberg is an integrated database that provides comprehensive information about integrative and conjugative elements (ICEs) found in bacteria. ICEs are conjugative self-transmissible elements that can integrate into and excise from a host chromosome. An ICE contains three typical modules, integration and excision, conjugation, and regulation modules, that collectively promote vertical inheritance and periodic lateral gene flow. Many ICEs carry likely virulence determinants, antibiotic-resistant factors and/or genes coding for other beneficial traits. ICEberg offers a unique, highly organized, readily explorable archive of both predicted and experimentally supported ICE-relevant data. It currently contains details of 428 ICEs found in representatives of 124 bacterial species, and a collection of >400 directly related references. A broad range of similarity search, sequence alignment, genome context browser, phylogenetic and other functional analysis tools are readily accessible via ICEberg. ICEberg will facilitate efficient, multidisciplinary and innovative exploration of bacterial ICEs and be of particular interest to researchers in the broad fields of prokaryotic evolution, pathogenesis, biotechnology and metabolism. The ICEberg database will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community.
Proper citation: ICEberg (RRID:SCR_006026) Copy
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