Tools   Select Another Resource Report Type

http://www.computationalbioenergy.org/parallel-meta.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Open source pipeline for metagenomic data analysis, which enables efficient and parallel analysis of multiple metagenomic datasets and visualization of results for multiple samples. Can perform rapid data mining among microbial community data for comparative taxonomic and functional analysis.

Proper citation: Parallel-META (RRID:SCR_000121) Copy   

•   Source: SciCrunch Registry
  

http://deweylab.biostat.wisc.edu/psginfer/

Software for inference of alternative splicing from RNA-Seq data with probabilistic splice graphs.

Proper citation: PSGInfer (RRID:SCR_000243) Copy   

•   Source: SciCrunch Registry
  

http://biolemmatizer.sourceforge.net/

A domain-specific lemmatization software tool for the morphological analysis of biomedical literature.

Proper citation: BioLemmatizer (RRID:SCR_000117) Copy   

•   Source: SciCrunch Registry
  

http://orphelia.gobics.de/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.

Proper citation: Orphelia (RRID:SCR_000119) Copy   

•   Source: SciCrunch Registry
  

https://sites.google.com/

A free online service to easily create and share webpages.

Proper citation: Google Sites (RRID:SCR_000112) Copy   

•   Source: SciCrunch Registry
  

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry
  

http://www.cogsci.ucsd.edu/media/uploads/grad/grad_fellowship_info.pdf

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. This resource is a frequently updated listing of graduate student in cognitive science fellowship opportunities. For current opportunities, please see the PDF document.

Proper citation: University of California at San Diego Cognitive Science Graduate Student Fellowship Opportunities (RRID:SCR_000105) Copy   

•   Source: SciCrunch Registry
  

http://www.zju.edu.cn/english/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A public research university with twelve main academic disciplines that include science, engineering, agriculture and medicine. The university has campuses across China in locations such as Yuquan, Zhijiang and Zhoushan. It has studies available in undergraduate, graduate and post-doctorate degrees.

Proper citation: Zhejiang University; Zhejiang; China (RRID:SCR_000224) Copy   

•   Source: SciCrunch Registry
  

http://www.nationalmssociety.org/index.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Society helps people affected by Multiple Sclerosis by funding cutting-edge research, driving change through advocacy, facilitating professional education, and providing programs and services that help people with MS and their families move their lives forward.

Proper citation: National MS Society (RRID:SCR_000104) Copy   

•   Source: SciCrunch Registry
  

http://www.paradyn.org/mrnet/

A software-based network that provides efficient multicast and reduction communications for parallel and distributed tools and systems. Some key features of this resource include scalable data aggregation, multiple concurrent data channels and high-bandwidth communication.

Proper citation: MRNet (RRID:SCR_000225) Copy   

•   Source: SciCrunch Registry
  

http://www.gobics.de/fabian/treephyler.php

A software tool for fast taxonomic profiling of metagenomes.

Proper citation: Treephyler (RRID:SCR_000109) Copy   

•   Source: SciCrunch Registry
  

http://toc.lbg.ac.at/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. The projected cluster includes the LBIs for Applied Cancer Research, Clinical Oncology and Photodynamic Therapy, Gynecology and Gynecologic Oncology, Stem Cell Transplantation and Surgical Oncology. The aim of the projected cluster Translational Oncology is the cooperative investigation of genetic and molecular biological characteristics of the tumor cells involved in minimal residual disease (MRD) in vitro and translation of the experimental and diagnostic results into the clinical practice involving therapeutic modalities with the newest generation of antitumoral drugs. Minimal residual disease is the designation for the occurrence of a low number of tumor cells remaining clinically undetected following curative therapy that give rise to tumor relapses. MRD is a central question in cancer therapy, since a major subpopulation of patients which underwent curative resection and therapy ultimately relapse and would have received more aggressive adjuvant therapy, provided that residual disease had been clearly proven. Otherwise low-risk patients would have not been treated aggressively in an adjuvant setting. MRD can be detected by methods in bone marrow or by extremely sensitive PCR (polymerase-chain-reaction)-based methods in peripheral blood. PCR-based methods allow for the characterization of tumor-specific gene expression in circulating tumor cells and thereby provide additional information in regard to malignity of cells and prognosis. The different participating institutions have extensive experience in patient care, organization of clinical studies and laboratory investigation. In particular, expert knowledge in stem cell transplantation and histological detection of MRD, multicentric clinical testing of new anticancer drugs, specialized treatment of various selected tumor entities such as neuroendocrine tumors, gene expression analysis of circulating tumor cells and tumor signatures, and in vitro characterization of chemosensitivity as well as tumor cell biology have been acquired at the individual LBIs in the past and are complementary to each other to be combined in a larger cluster structure. The detection of circulating tumor cells will be supported by ongoing EU (OVCAD OVarian CAncer Diagnosis) and GenAU projects aiming at identification of ovarian cancer cells in the blood. The assessment of methylated DNA sequences (suppressor genes) in peripheral blood as an indicator of MRD can be performed with the help of OncoLab Diagnostics GmbH. Cooperative action in this cluster, using a common tumor bank/clinical data collection and the combined clinical and experimental efforts are the base for the execution of the presented MRD project.

Proper citation: Ludwig Boltzmann Cluster Translationale Onkologie (RRID:SCR_000020) Copy   

•   Source: SciCrunch Registry
  

http://www.bioinformatics.babraham.ac.uk/projects/fastq_screen/

Software that allows you to screen a library of sequences in FastQ format against a set of sequence databases so you can see if the composition of the library matches with what you expect.

Proper citation: FastQ Screen (RRID:SCR_000141) Copy   

•   Source: SciCrunch Registry
  

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry
  

http://www.tcd.ie/

A public university, which is a part of the University of Dublin, and contains three main academic disciplines: Arts, Humanities and Social Sciences; Engineering, Mathematics and Sciences; and Health Sciences. The institution offers degrees at the undergraduate and graduate level.

Proper citation: Trinity College Dublin; Dublin; Ireland (RRID:SCR_000261) Copy   

•   Source: SciCrunch Registry
  

http://www.ufl.edu/

Public research university in Gainesville, Florida, United States. Member of state university system of Florida with undergraduate and graduate programs in arts and sciences.

Proper citation: University of Florida; Florida; USA (RRID:SCR_000145) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/ms-spectre/

Software that provides (Quantitiave) analysis of multiple ls-ms(ms) runs, using mzXML import of raw data coming from spectrometers.

Proper citation: MS-Spectre (RRID:SCR_000266) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/2.13/bioc/html/GenomicRanges.html

Software package that defines general purpose containers for storing genomic intervals as well as more specialized containers for storing alignments against a reference genome.

Proper citation: GenomicRanges (RRID:SCR_000025) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/release/bioc/html/GEOquery.html

Software that establishes a bridge between GEO and BioConductor.

Proper citation: GEOquery (RRID:SCR_000146) Copy   

•   Source: SciCrunch Registry
  

http://www.uca.edu.ar/index.php/home/index/es

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 10th,2023. Private medical school in Buenos Aires that offers degree programs in the medical sciences. Resource is in Spanish.

Proper citation: Pontifical Catholic University of Argentina School of Medical Sciences; Buenos Aires; Argentina (RRID:SCR_000264) Copy   

•   Source: SciCrunch Registry