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http://sourceforge.net/projects/mirseq/files/

An R/Bioconductor based workflow for novel miRNA prediction from deep sequencing data.

Proper citation: miRSeqNovel (RRID:SCR_013257) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ligmap/files/

A tool for structural biology and drug design.

Proper citation: AutoMap (RRID:SCR_013095) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/dynamicprog/

A model-based statistical methods for base calling in Illumina''s next-generation sequencing platforms.

Proper citation: DynamicProg (RRID:SCR_013217) Copy   

•   Source: SciCrunch Registry

http://www-rcf.usc.edu/~fsun/Programs/multiAlignFree/multiAlignFreemain.html

R package intended to implement a program for multiple alignment-free sequence comparison based on long genome sequence or NGS data.

Proper citation: muliAlignFree (RRID:SCR_013188) Copy   

•   Source: SciCrunch Registry

http://www.ritsumei.ac.jp/~akitaoka/index-e.html

This portal describes Professor Kitaoka Akiyoshi''s research in the science of visual illusions. Working as an associate professor at the Ritsumeiken University, Department of Psychology, he is one of the few researchers in Japan to be actively researching in this field of study. Professor Kitaoka defines an illusion as a misperception of a real object, adding that defining what is real is a difficult task that depends on recognition and epistemology. An illusion is formed when the perceived characteristics of the object differ from the physical characteristics. Professor Kitaoka first started studying visual illusions when working at the Tokyo Metropolitan Institute for Neuroscience, before coming to RU. He currently researches geometrical, color, lightness, and motion illusions and visual completion, and has become a prominent expert in the field, publishing a wide range of articles on the subject as well as the popular books Trick Eyes, Trick Eyes 2, Trick Eyes Graphics, and the Handbook of the Science of Illusion. To create his illusions, Professor Kitaoka uses graphic design software such as CorelDRAW, Adobe Illustrator, and the drawing software included in Microsoft Word in addition to making use of programming languages like Borland Delphi (Pascal). All of the images set out to test hypotheses that serve to advance his study of illusions and their applications for other visual functions. The goal of his research is to test visual mechanisms through visual illusions.

Proper citation: Akiyoshis illusion pages (RRID:SCR_013187) Copy   

•   Source: SciCrunch Registry

http://www.usphs.gov/

Commissioned Corps of the United States Public Health Service, is the federal uniformed service of the U.S. Public Health Service, and is one of the eight uniformed services of the United States.

Proper citation: U.S. Public Health Service Commissioned Corps (RRID:SCR_013104) Copy   

•   Source: SciCrunch Registry

http://www.cdc.gov/niosh/oep/funding.html

http://www.cdc.gov/niosh/oep/funding.html

Proper citation: National Institute for Occupational Safety and Health (RRID:SCR_013180) Copy   

•   Source: SciCrunch Registry

http://www.cjd.ed.ac.uk/

The incidence of Creutzfeldt-Jakob disease (CJD) is monitored in the UK by the National CJD Surveillance Unit (NCJDSU) based at the Western General Hospital in Edinburgh, Scotland. The Unit brings together a team of clinical neurologists, neuropathologists and scientists specialising in the investigation of this disease. This document is intended to summarise the research in progress at the NCJDSU and also provide some background information about CJD and other human spongiform encephalopathies. We have also provided some links to other resources and contrary points of view available on the Web.

Proper citation: NCJDSU (RRID:SCR_013183) Copy   

•   Source: SciCrunch Registry

http://beads.sourceforge.net/

Software for a normalization scheme that corrects nucleotide composition bias, mappability variations and differential local DNA structural effects in deep sequencing data.

Proper citation: BEADS (RRID:SCR_013229) Copy   

•   Source: SciCrunch Registry

http://www.medicalimagecomputing.com/downloads/ems.php

EMS is a freely available suite of Matlab functions and subroutines (with some externally compiled C routines) for fully-automated multi-spectral classification of brain tissues in Magnetic Resonance (MR) images. It uses a model based approach (including an explicit model for MR bias fields) in which all the model parameters are automatically estimated for each individual scan. This enables it to process large amounts of data from normal subjects and subjects suffering from Multiple Sclerosis without need for user intervention or preceeding manual training phase.

Proper citation: Expectation-Maximization Segmentation (RRID:SCR_013228) Copy   

•   Source: SciCrunch Registry

http://www.lifetechnologies.com/fr/fr/home/technical-resources/software-downloads/lifescope-genomic-analysis-software.html

Genomic Analysis Software designed to match the accuracy of the next generation 5500 Genetic Analyzers with Exact Call Chemistry (ECC).

Proper citation: LifeScope (RRID:SCR_013234) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/congrpe/

A de novo assembly algorithm for Next-Generation Sequencing technology.

Proper citation: CongrPE (RRID:SCR_013190) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/sapas/

A RNA-seq method for polyA research.

Proper citation: SAPAS (RRID:SCR_013195) 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

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://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