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https://github.com/pavanvidem/chira

Software tool suite to analyze RNA-RNA interactome experimental data such as CLASH, CLEAR-CLIP, PARIS, SPLASH, etc.

Proper citation: ChiRA (RRID:SCR_019219) Copy   

•   Source: SciCrunch Registry

http://www.conplot.org/

Web application for visualisation of information derived from residue contact predictions in combination with other sources of information, such as secondary structure predictions, transmembrane helical topology, sequence conservation.Provides interactive interface for researchers in field of protein bioinformatics that are interested in analysing data on given protein.

Proper citation: ConPlot (RRID:SCR_019216) Copy   

•   Source: SciCrunch Registry

https://github.com/bgcarlisle/TRNscreener

Software tool as R script to provide function that takes two arguments: path to folder of plain text files named by their DOI, and output filename. For each file in folder, it searches for trial identifiers based on regex matching and writes CSV that contains all trial registration numbers and in case of ClinicalTrials.gov entries, whether they correspond to registry entry on ClinicalTrials.gov.

Proper citation: Trial Registration Number screener (RRID:SCR_019211) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=spdep

Software R package as collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree.

Proper citation: spdep (RRID:SCR_019294) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=scales

Software R package as scale functions for visualization. Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.

Proper citation: scales (RRID:SCR_019295) Copy   

•   Source: SciCrunch Registry

http://derisilab.ucsf.edu/index.php?software=105

An accurate and efficient algorithm for discovering canonical and non-canonical splice junctions in short read datasets.

Proper citation: HMMSplicer (RRID:SCR_013315) Copy   

•   Source: SciCrunch Registry

http://www.labvision.se/en/

An Antibody supplier

Proper citation: Lab Vision (RRID:SCR_013436) Copy   

•   Source: SciCrunch Registry

http://www-sequence.stanford.edu/group/candida/

The Stanford Genome Technology Center began a whole genome shotgun sequencing of strain SC5314 of Candida albicans. After reaching its original goal of 1.5X mean coverage of the haploid genome (16Mb) in summer, 1998, Stanford was awarded a supplemental grant to continue sequencing up to a coverage of 10X, performing as much assembly of the sequence as possible, using recognizable genes as nucleation points. Candida albicans is one of the most commonly encountered human pathogens, causing a wide variety of infections ranging from mucosal infections in generally healthy persons to life-threatening systemic infections in individuals with impaired immunity. Oral and esophogeal Candida infections are frequently seen in AIDS patients. Few classes of drugs are effective against these fungal infections, and all of them have limitations with regard to efficacy and side-effects.

Proper citation: Sequencing of Candida Albicans (RRID:SCR_013437) Copy   

•   Source: SciCrunch Registry

http://www.thermofisher.com/us/en/home/brands/molecular-probes.html?icid=fr-probe-main

An Antibody supplier and subset of ThermoFisher Scientific which provides fluorescence reagents for various experiments and methods.

Proper citation: Molecular Probes (RRID:SCR_013318) Copy   

•   Source: SciCrunch Registry

http://ncmir.ucsd.edu/downloads/montage_rts2000.shtm

Software program for creating montages from multiphoton microscopy.

Proper citation: Montage RTS2000 (RRID:SCR_013439) Copy   

•   Source: SciCrunch Registry

https://omictools.com/l2l-tool

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019.

Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: L2L Microarray Analysis Tool (RRID:SCR_013440) Copy   

•   Source: SciCrunch Registry

http://www.bcgsc.ca/platform/bioinfo/software/trans-abyss

A software pipeline for analyzing ABySS-assembled contigs from shotgun transcriptome data.

Proper citation: Trans-ABySS (RRID:SCR_013322) Copy   

•   Source: SciCrunch Registry

http://www.kokusan-chem.co.jp/

An Antibody supplier

Proper citation: Kokusan Chemical (RRID:SCR_013443) Copy   

•   Source: SciCrunch Registry

http://neuma.kobic.re.kr/

Software for estimating mRNA abundances from the whole transcriptome shotgun sequencing (RNA-Seq) data based on effective length normalization using uniquely mappable areas of gene and mRNA isoform models. Using the known transcriptome sequence model such as RefSeq, NEUMA pre-computes the numbers of all possible gene-wise and isoform-wise informative reads: the former being sequences mapped to all mRNA isoforms of a single gene exclusively and the latter uniquely mapped to a single mRNA isoform. The results are used to estimate the effective length of genes and transcripts, taking experimental distributions of fragment size into consideration. NEUMA covers a large proportion of genes and mRNA isoforms and offers a measure of consistency (''consistency coefficient'') for each gene between an independently measured gene-wise level and the sum of the isoform levels. NEUMA is applicable to both paired-end and single-end RNA-Seq data.

Proper citation: NEUMA (RRID:SCR_013324) Copy   

•   Source: SciCrunch Registry

https://wiki.zfin.org/display/AB/ZFIN+Antibody+Wiki

A catalog of antibodies important for zebrafish research, maintained by ZFIN. ZFIN Antibody Wiki is where zebrafish researchers can help each other by sharing antibody information - new antibodies, protocols, tips - anything that might be helpful.

Proper citation: ZFIN Antibody Wiki (RRID:SCR_013326) Copy   

•   Source: SciCrunch Registry

http://PlasmoDB.org

Functional genomic database for malaria parasites. Database for Plasmodium spp. Provides resource for data analysis and visualization in gene-by-gene or genome-wide scale. PlasmoDB 5.5 contains annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution data. Data can be queried by selecting from query grid or drop down menus. Results can be combined with each other on query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.Key community database for malaria researchers, intersecting many types of laboratory and computational data, aggregated by gene.

Proper citation: PlasmoDB (RRID:SCR_013331) Copy   

•   Source: SciCrunch Registry

http://www.newtechenterprise.org/

It is an independent nonprofit organization established to provide meaningful trans-disciplinary experiential education to students by making the most cutting-edge instructional methods and technologies available to them to bring new inventions to the marketplace and to encourage knowledge sharing and collaboration among its numerous constituencies. The Center provides a comprehensive program in which its students learn and acquire real-world experience by assisting universities, private and public research institutions, companies, and entrepreneurs to evaluate new technologies and facilitate the creation and development of new ventures. By offering a virtual venue for students and other constituencies worldwide, our stakeholders and collaborators can connect and share knowledge, expertise, resources, best practices, and other important information. Employers, investors and others searching for talent place a premium on relevant experience. However, students, individuals seeking a change in their careers, and prospective entrepreneurs often find it difficult to obtain positions that can provide needed experience, even if they are willing to work without compensation. This conundrum often leads to people taking or staying in positions for which they have no passion and which do not make the best use of their abilities. The Centers program is designed to provide extensive, intensive and relevant experience to its participants, with particular emphasis on teaching them to adapt to and thrive in our lightning fast, rapidly changing and increasingly flat world. As an independent organization, the Centers program and activities are not restricted to any particular institution or jurisdiction. Thus the Center can attract students, clients, professionals and other stakeholders, establish collaborations, and pursue other opportunities appropriate to its mission almost anywhere. eductional resource.

Proper citation: Center for New Technology Enterprise (RRID:SCR_013333) Copy   

•   Source: SciCrunch Registry

http://probalign.njit.edu/standalone.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software that uses partition function posterior probability estimates to compute maximum expected accuracy multiple sequence alignments. Computes maximal expected accuracy multiple sequence alignments from partition function posterior probabilities.Produces accurate alignments on long and heterogeneous length datasets containing protein repeats.

Proper citation: Probalign (RRID:SCR_013332) Copy   

•   Source: SciCrunch Registry

http://lifesci.com/

An Antibody supplier

Proper citation: Life Sciences Advanced Technologies inc (RRID:SCR_013415) Copy   

•   Source: SciCrunch Registry

http://www.funfaculty.org/

FUN is an international organization that is focused on neuroscience education and research at the undergraduate level. FUNs members and supporters include businesses and organizations; private liberal arts colleges, state and research university departments and programs; and individual faculty and students, all sharing a common interest in undergraduate neuroscience.

Proper citation: Faculty for Undergraduate Neuroscience (RRID:SCR_013536) Copy   

•   Source: SciCrunch Registry