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http://www.xavierdidelot.xtreemhost.com/clonalframe.htm

Software package for the inference of bacterial microevolution using multilocus sequence data. It is used to identify the clonal relationships between the members of a sample, while also estimating the chromosomal position of homologous recombination events that have disrupted the clonal inheritance.

Proper citation: Clonalframe (RRID:SCR_016060) Copy   

•   Source: SciCrunch Registry

https://dazzlerblog.wordpress.com

Software alignment tool to find all significant local alignments between long and noisy, up to 15% on average reads encoded in a Dazzler database. Used for DNA sequence assembly, specifically for next generation long-read sequencers such as the Pacbio RS II and Sequel sequencers.

Proper citation: Daligner (RRID:SCR_016066) Copy   

•   Source: SciCrunch Registry

https://github.com/ruanjue/wtdbg2.git

Software tool as de novo sequence assembler for long noisy reads produced by PacBio or Oxford Nanopore Technologies. It assembles raw reads without error correction and then builds consensus from intermediate assembly output. Desiged to assemble huge genomes in very limited time.

Proper citation: WTDBG (RRID:SCR_017225) Copy   

•   Source: SciCrunch Registry

https://github.com/lh3/psmc.git

Software package for implementation of Pairwise Sequentially Markovian Coalescent model. Infers population size history from diploid sequence.

Proper citation: PSMC (RRID:SCR_017229) Copy   

•   Source: SciCrunch Registry

http://wasabiapp.org/software/prank/

Software application as probabilistic multiple alignment program for DNA, codon and amino-acid sequences. Allows for defining potential structure for sequences to be aligned and then, simultaneously with the alignment, predicts the locations of structural units in the sequences.

Proper citation: prank (RRID:SCR_017228) Copy   

•   Source: SciCrunch Registry

https://github.com/josephryan/matemaker

Software tool to make artificial mate pairs from long sequences for scaffolding.

Proper citation: matemaker (RRID:SCR_017199) Copy   

•   Source: SciCrunch Registry

http://www.cbs.dtu.dk/services/RNAmmer/

Software package to predict ribosomal RNA genes in full genome sequences by utilising two levels of Hidden Markov Models. Consistent and rapid annotation of ribosomal RNA genes.

Proper citation: RNAmmer (RRID:SCR_017075) Copy   

•   Source: SciCrunch Registry

https://github.com/BackofenLab/GraphClust-2

Software tool for scalable clustering of RNAs based on sequence and secondary structures similarities. Implemented within Galaxy framework. Used for studying RNA function.

Proper citation: GraphClust2 (RRID:SCR_017286) Copy   

•   Source: SciCrunch Registry

https://www.drive5.com/piler/

Software tool for analyzing repetitive DNA found in genome sequences. Software package for identification and classification of genomic repeats. Used for identifying patterns of local alignments induced by certain classes of repeats.

Proper citation: PILER (RRID:SCR_017333) Copy   

•   Source: SciCrunch Registry

http://heimanlab.com/cut2.html

Software tool to find restriction endonucleases. Helps restriction map nucleotide sequences. Tool with customizable interface, platform independent accessibility, interfaces to NCBI's GenBank, DNA sequence database, and NEB's REBase, and restriction enzyme database. In addition to restriction site mapping, Webcutter 2 also performs degenerate digests, including option of finding restriction sites that can be introduced into sequence by silent mutagenesis.

Proper citation: Webcutter (RRID:SCR_017638) Copy   

•   Source: SciCrunch Registry

http://refgenie.databio.org

Software tool to organize, retrieve, and share genome analysis resources. Reference genome assembly asset manager. In addition to genome indexes, can manage any files related to reference genomes, including sequences and annotation files. Includes command line interface and server application that provides RESTful API, so it is useful for both tool development and analysis.

Proper citation: refgenie (RRID:SCR_017574) Copy   

•   Source: SciCrunch Registry

https://github.com/santeripuranen/SuperDCA

Software tool for global direct coupling analysis of input genome alignments. Implements variant of pseudolikelihood maximization direct coupling analysis, with emphasis on optimizations that enable its use on genome scale. May be used to discover co evolving pairs of loci.Used for genome wide epistasis analysis.

Proper citation: SuperDCA (RRID:SCR_018175) Copy   

•   Source: SciCrunch Registry

http://crispr.dbcls.jp/

Software for designing CRISPR/Cas guide RNA with reduced off target sites. Used for rational design of CRISPR/Cas target. Web server for selecting rational CRISPR/Cas targets from input sequence. Server currently incorporates genomic sequences of human, mouse, rat, marmoset, pig, chicken, frog, zebrafish, Ciona, fruit fly, silkworm, Caenorhabditis elegans, Arabidopsis, rice, Sorghum and budding yeast.

Proper citation: CRISPRdirect (RRID:SCR_018186) Copy   

•   Source: SciCrunch Registry

https://metacpan.org/pod/Bio::CUA

Software tool as flexible and comprehensive codon usage analyzer. Used to analyze codon usage bias (CUB) and relevant problems.

Proper citation: Codon Usage Analyzer (RRID:SCR_018500) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/linucs/

Service that directly converts the commonly used extended representation of complex carbohydrates into the preferred canonical description or into its inverted form. Input: A structure using the extended, non-graphic nomenclature (in ASCII writing) to describe complex carbohydrates as recommended by IUPAC. Output: A linear, unique notation. The source code (written in C), will be distributed so that software developers can easily implement their algorithm within their own application. LINUCS was chosen to fulfill to following conditions: * Input of extended, non-graphic nomenclature to describe carbohydrate structures. * Resulting linear code is closely related to notations and abbreviations recommended by IUPAC. * Number of additional rules to define the priority of the branches is low * Extended nomenclature of complex carbohydrates contains all information to define the hierarchy. * LINUCS is applicable to all types of carbohydrates (macrocyclic system are currently not implemented) . * Remaining unassigned linkage information are tolerated

Proper citation: LINUCS (RRID:SCR_001571) Copy   

•   Source: SciCrunch Registry

https://cpndb.ca/

A curated collection of chaperonin sequence data collected from public databases or generated by a network of collaborators exploiting the cpn60 target in clinical, phylogenetic and microbial ecology studies. The database contains all available sequences for both group I and group II chaperonins. Users can search the database by Chaperonin type, group (I or II), BLAST, or other options, and can also enter and analyze FASTA sequences.

Proper citation: cpnDB: A Chaperonin Database (RRID:SCR_002263) Copy   

•   Source: SciCrunch Registry

http://ww2.sanbi.ac.za/Dbases.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index

Proper citation: Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) Copy   

•   Source: SciCrunch Registry

http://hcv.lanl.gov/

The Hepatitis C Virus (HCV) Database Project strives to present HCV-associated genetic and immunologic data in a user-friendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools.

Proper citation: HCV Databases (RRID:SCR_002863) Copy   

•   Source: SciCrunch Registry

Issue

https://github.com/spm

Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.

Proper citation: SPM (RRID:SCR_007037) Copy   

•   Source: SciCrunch Registry

http://soybase.org

Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome.

Proper citation: SoyBase (RRID:SCR_005096) Copy   

•   Source: SciCrunch Registry