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http://research.i2r.a-star.edu.sg:8080/kleisli/demos/pedigree/

Software application (entry from Genetic Analysis Software)

Proper citation: PEDIGREE-VISUALIZER (RRID:SCR_000842) Copy   

•   Source: SciCrunch Registry

http://vorlon.case.edu/~jxl175/haplotyping.html

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on August 23,2022. Software application for inferring haplotypes from genotypes on pedigree data (entry from Genetic Analysis Software)

Proper citation: PEDPHASE (RRID:SCR_000843) Copy   

•   Source: SciCrunch Registry

http://animalgene.umn.edu/locusmap/index.html

Software package designed for rapid linkage analysis and map construction of loci with a variety of inheritance modes. (entry from Genetic Analysis Software)

Proper citation: LOCUSMAP (RRID:SCR_000840) Copy   

•   Source: SciCrunch Registry

https://cega.berkeley.edu/

Network of world class researchers and innovators to improve lives of people living in poverty by generating insights and tools for decision makers backed by rigorous, inclusive, and transparent research. Hub for research, training and innovation headquartered at University of California, Berkeley.

Proper citation: Center for Effective Global Action (RRID:SCR_024639) Copy   

•   Source: SciCrunch Registry

http://www-genome.wi.mit.edu/ftp/pub/software/rhmapper/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30, 2022. An interactive software program for radiation hybrid mapping (entry from Genetic Analysis Software)

Proper citation: RHMAPPER (RRID:SCR_000845) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/circlize/

Software package that implements and enhances circular visualization in R. Due to natural born feature of R to draw statistical graphics, this package can provide more general and flexible way to visualize huge information in circular style.

Proper citation: circlize (RRID:SCR_002141) Copy   

•   Source: SciCrunch Registry

http://titan.biotec.uiuc.edu/bee/honeybee_project.htm

A database integrating data from the bee brain EST sequencing project with data from sequencing and gene research projects from other organisms, primarily the fruit fly Drosophila melanogaster. The goal of Bee-ESTdb is to provide updated information on the genes of the honey bee, currently using annotation primarily from flies to suggest cellular roles, biological functions, and evolutionary relationships. The site allows searches by sequence ID, EST annotations, Gene Ontology terms, Contig ID and using BLAST. Very nice resource for those interested in comparative genomics of brain. A normalized unidirectional cDNA library was made in the laboratory of Prof. Bento Soares, University of Iowa. The library was subsequently subtracted. Over 20,000 cDNA clones were partially sequenced from the normalized and subtracted libraries at the Keck Center, resulting in 15,311 vector-trimmed, high-quality, sequences with an average read length of 494 bp. and average base-quality of 41. These sequences were assembled into 8966 putatively unique sequences, which were tested for similarity to sequences in the public databases with a variety of BLAST searches. The Clemson University Genomics Institute is the distributor of these public domain cDNA clones. For information on how to purchase an individual clone or the entire collection, please contact www.genome.clemson.edu/orders/ or generobi (at) life.uiuc.edu.

Proper citation: Honey Bee Brain EST Project (RRID:SCR_002389) Copy   

•   Source: SciCrunch Registry

http://gusevlab.org/projects/germline/

Software application for discovering long shared segments of Identity by Descent (IBD) between pairs of individuals in a large population. It takes as input genotype or haplotype marker data for individuals (as well as an optional known pedigree) and generates a list of all pairwise segmental sharing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GERMLINE (RRID:SCR_001720) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/science/tools/olorin

An interactive filtering tool for next generation sequencing data coming from the study of large complex disease pedigrees. It integrates gene flow output from Merlin and next generation sequencing data. Users can interactively filter and prioritize variants based on haplotype sharing across different sets of selected individuals and allele frequency in reference datasets. (entry from Genetic Analysis Software)

Proper citation: OLORIN (RRID:SCR_002015) Copy   

•   Source: SciCrunch Registry

https://sites.pitt.edu/~weeks/docs/SimIBD.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software application (entry from Genetic Analysis Software)

Proper citation: SIMIBD (RRID:SCR_002094) Copy   

•   Source: SciCrunch Registry

http://gmt.genome.wustl.edu/packages/breakdancer/

A Perl/C++ software package that provides genome-wide detection of structural variants from next generation paired-end sequencing reads. BreakDancerMax predicts five types of structural variants: insertions, deletions, inversions, inter- and intra-chromosomal translocations from next-generation short paired-end sequencing reads using read pairs that are mapped with unexpected separation distances or orientation. (entry from Genetic Analysis Software)

Proper citation: BREAKDANCER (RRID:SCR_001799) Copy   

•   Source: SciCrunch Registry

http://haplopainter.sourceforge.net/

A pedigree drawing program, suitable in processing haplotype outputs from GENEHUNTER, ALLEGRO, MERLIN, and SIMWALK (entry from Genetic Analysis Software)

Proper citation: HAPLOPAINTER (RRID:SCR_001710) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/genome-smasher/

Software repository for tools used to create diploid FASTA files with containing snps, indels, duplications, deletions, and translocations. They can be used to create artificial genomes for next-gen sequencing simulations.

Proper citation: GenomeSmasher (RRID:SCR_002406) Copy   

•   Source: SciCrunch Registry

http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Project portal housing NIA Mouse EST Project, NIA Mouse cDNA Clone Sets, a NIA Mouse Gene Index, NIA Mouse cDNA Database, and NIA Mouse Microarrays. Characteristics of NIA 15K Mouse cDNA Clone Set * ~15,000 unique cDNA clones were rearrayed among 52,374 ESTs from pre- and periimplantation embryos, E12.5 female gonad/mesonephros, and newborn ovary. * Up to 50% are derived from novel genes. * ~1.5 kb average insert size. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H3001A01 to H3159G07. * Handling of NIA 15k cDNA Clone Set(June3, 2000) Characteristics of NIA mouse 7.4K cDNA Clone Set * ~7407 cDNA clones with no redundancy within the set or with NIA Mouse 15K. * ~1.5 kb average insert size for short insert clones and ~2.5-3.0 kb average insert size for long-insert enriched clones.. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H4001A01 to H4079G07. * Handling of NIA mouse 7.4k cDNA Clone Set (similar to handling of NIA mouse 15K, to be updated) Individual Clones are available from ATCC and MRC geneservice, UK. To obtain Clone, search the database using either the rearrayed clone name or GenBank accession number at the Key Word Search page. Follow the link to the sequence information page for the rearrayed clone to obtain source clone ATCC number. Clicking the ATCC number will bring up the ATCC ordering page for the source clone. There is essentially no overlap between the two clone sets (7.4K and 15K) said Minoru S.H. Ko, M.D., Ph.D., head of the Developmental Genomics and Aging Section in the NIA's Laboratory of Genetics. In addition, all cDNA clones in the NIA 7.4K set were purified by single colony isolation and sequence-verified, and more than half were prepared by a new procedure that yields long full-length cDNAs (average size 3-4 kb). The NIA Mouse 15k and 7.4k Clone Set Data and Published Microarray Data are available for download. NIA Mouse Microarrays *Microarray Data Download * 60-mer Oligo Array Platform ** (A) NIA 22k Oligo Microarray Gene List (21939 gene features) ( Carter et al 2003 ) ** (B) Agilent Mouse Development Oligo Microarray Gene List ** ( Subset of Microarray (A): 20,280 gene features ) * Data Analysis Tools

Proper citation: NIA Mouse cDNA Project Home Page (RRID:SCR_001472) Copy   

•   Source: SciCrunch Registry

http://www.softpedia.com/get/Science-CAD/DicomWorks.shtml

Software to help users work with DICOM files by organizing, managing and analyzing them. Key features: * a smart DICOM viewer with 4 panel display, annotations, arrows, multimodality synchronization, etc... * an export wizard to the most common picture or movie file formats * an export wizard to Microsoft PowerPoint * the most simple and compatible DICOM CD-ROM reader * the most simple and smart DICOM CD-ROM WRITER * an archiving solution with lossless compression of the data * a DICOM creation module to dicomize images from any image source (even video capture) * e-mail or FTP import end export functions (teleradiology) * 16 native localized versions

Proper citation: DicomWorks (RRID:SCR_001195) Copy   

•   Source: SciCrunch Registry

http://www.diabetestrialnet.org/biobank/

Provides investigators with the opportunity to obtain on-demand biological samples from selected individuals that TrialNet has developed through the longitudinal monitoring of individuals at risk for the development of type 1 diabetes within the Natural History study. Exploratory research is encouraged under this initiative. Studies must use TrialNet screened subjects, and cannot interfere with ongoing clinical trials or studies. Investigators can select the clinical characteristics needed for their study as well as the sample type and collection frequency. Although many Living Biobank studies may be implemented through cost-sharing with the TrialNet network, special sample collections and visits outside of the normal visit schedules will incur additional costs which should be covered by the approved applicant. In addition, some studies may require effort from the TrialNet coordinating center, with costs covered by the approved ancillary study. Living biobank studies will be evaluated with careful consideration for their potential impact on the objectives and performance of the TrialNet Natural History study. To protect the interests of TrialNet, each living biobank study must be reviewed and approved by the Ancillary Studies Committee before its initiation. All approved living biobank studies will be reviewed yearly to evaluate their progress, and impact on TrialNet as a whole. TrialNet welcomes the submission of living biobank studies as an adjunct to ongoing protocols.

Proper citation: Living Biobank (RRID:SCR_001510) Copy   

•   Source: SciCrunch Registry

http://brainpains.com/wordpress/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 28, 2016.

Proper citation: BrainPains (RRID:SCR_000938) Copy   

•   Source: SciCrunch Registry

http://sig.biostr.washington.edu/projects/wirm/

WIRM is an innovative software toolkit that allows the creation of web applications that facilitate the acquisition, integration, and dissemination of multimedia biomedical data over the web, thereby reducing the cost of knowledge sharing. WIRM reduces the complexity of building custom biomedical web applications and it's visual modeling tools enable domain experts to describe the structure of their knowledge, from which WIRM automatically generates full-featured, customizable content management systems. WIRM is a Perl-based application server that provides a high-level programming environment for developing web information systems. WIRM consists of an object-relational database and a suite of Perl interfaces for visualizing, integrating and analyzing heterogeneous multimedia data. WIRM provides facilities for creating context-sensitive views over a multimedia database, allowing developers to rapidly build dynamic web sites that adapt their content and presentation to multiple classes of end-users. WIRM was developed by Rex Jakobovits as part of his PhD dissertation at the University of Washington Computer Science department, under the guidance of Dr. James F. Brinkley of the Department of Biological Structure. The system was generalized from work funded by NIH SBIR grant R43-MH61277-01 and Human Brain Project grant DC/LM02310.

Proper citation: WIRM - Web Interfacing Repository Manager (RRID:SCR_002039) Copy   

•   Source: SciCrunch Registry

http://www.futuremedicine.com/doi/pdf/10.2217/17410541.4.4.389

THIS RESOURCE IS NOT IN SERVICE, documented August 9, 2016. A genetic biobank in Taizhou, China which plans to collect five million samples in 10 years.

Proper citation: Taizhou Biobank (RRID:SCR_000935) Copy   

•   Source: SciCrunch Registry

http://researchblogging.org/blog/home/id/882

A neuroscience blog written by Noah Gray.

Proper citation: Nothing's Shocking (RRID:SCR_000932) Copy   

•   Source: SciCrunch Registry