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https://genome.unc.edu/

Database for microarray data storage, retrieval, analysis, and visualization.

Proper citation: UNC Microarray Database (RRID:SCR_010979) Copy   

•   Source: SciCrunch Registry

http://bcb.cs.tufts.edu/dflat/

We are an interdisciplinary team dedicated to annotating gene function related to human fetal development. We are contributing new functional annotation to the Gene Ontology, curating and mining gene sets suitable for the interpretation of developmental genomic data, and creating the computational tools needed to apply genomics for better understanding the molecular mechanisms of human development. Our GO annotation is in the process of being incorporated into the GOA public release. The GONE (Gene Ontology Non-Eligible) database is where we store annotations relevant to our research but that don''t quite meet GOA''s standards. Usually an annotation falls into this category because either the gene/protein described is a family of genes/proteins rather than a specific one, there is no UniProt ID to identify the gene/protein in the system, a GO term does not yet exist to describe the particular function, process, or location of the gene/protein, the species is not clearly identifiable in the paper, or the evidence is not as reliable (GO evidence codes TAS and NAS). As individual annotations these are more suspect than current GO annotation. However, for functional analysis of expression data, these gene sets can be valuable even with a certain amount of noise. We also include here a link to the supplementary data from our forthcoming PSB 2011 paper on gene set mining.

Proper citation: DFLAT (RRID:SCR_010738) Copy   

•   Source: SciCrunch Registry

http://fgcz-bfabric.uzh.ch/bfabric/

An open infrastructure for managing projects and data in life sciences that allows to store and access experimental data together with its scientific context. The platform connects the data from scientific instruments with data analysis tools, including workflow, annotation, and data visualization support. All public data can be searched and used to carry out inter-experiment analyses. For a fee, B-Fabric Order allows you to order the following analytical services at the FGCZ independent of a User Lab research project: Mass spectrometry, Protein sequencing, peptide sequencing, Amino acid analysis, Chromatography, Electrophoresis.

Proper citation: B-Fabric (RRID:SCR_011827) Copy   

•   Source: SciCrunch Registry

http://www.cbil.upenn.edu/cgi-bin/tess/tess

TESS is a web tool for predicting transcription factor binding sites in DNA sequences. It can identify binding sites using site or consensus strings and positional weight matrices from the TRANSFAC, JASPAR, IMD, and our CBIL-GibbsMat database. You can use TESS to search a few of your own sequences or for user-defined CRMs genome-wide near genes throughout genomes of interest. Search for CRMs Genome-wide: TESS now has the ability to search whole genomes for user defined CRMs. Try a search in the AnGEL CRM Searches section of the navigation bar.. You can search for combinations of consensus site sequences and/or PWMs from TRANSFAC or JASPAR. Search DNA for Binding Sites: TESS also lets you search through your own sequence for TFBS. You can include your own site or consensus strings and/or weight matrices in the search. Use the Combined Search under ''Site Searches'' in the menu or use the box for a quick search. TESS assigns a TESS job number to all sequence search jobs. The job results are stored on our server for a period of time specified in the search submit form. During this time you may recall the search results using the form on this page. TESS can also email results to you as a tab-delimited file suitable for loading into a spreadsheet program. Query for Transcription Factor Info: TESS also has data browsing and querying capabilities to help you learn about the factors that were predicted to bind to your sequence. Use the Query TRANSFAC or Query Matrices links above or use the search interface provided from the home page.

Proper citation: TESS: Transcription Element Search System (RRID:SCR_010739) Copy   

•   Source: SciCrunch Registry

http://mirtar.mbc.nctu.edu.tw/human/

An integrated web server for identifying miRNA-target interactions in human. The tool enables biologists easily to identify the biological functions and regulatory relationships between a group of known/putative miRNAs and protein coding genes. It also provides perspective of information on the miRNA targets on alternatively spliced transcripts.

Proper citation: miRTar (RRID:SCR_010851) Copy   

•   Source: SciCrunch Registry

http://srs.ebi.ac.uk/srsbin/cgi-bin/wgetz?-page+srsq2+-noSession

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. The EBI SRS server is a primary gateway to major databases in the field of molecular biology produced and supported at EBI as well as European public access point to the MEDLINE database provided by US National Library of Medicine (NLM). It is a reference server for latest developments in data and application integration. Features include: concept of virtual databases, integration of XML databases like the Integrated Resource of Protein Domains and Functional Sites (InterPro), Gene Ontology (GO), MEDLINE, Metabolic pathways, etc., user friendly data representation in ''Nice views'', SRSQuickSearch bookmarklets. Quick Searches allow users to make a number of searches without needing to learn how to use SRS in depth. The searches query some of the common databanks without having to go and select them explicitly and without the need to understand the SRS Query Forms. Quick Searches can be performed from either the Start page (when you first open SRS) or the SRS Quick Search page (when you are already in a project). SRS also has the ability to search for links between your current results and related information in other databanks. Additionally, it is able to analyze the results of your search using many bioinformatics analysis tools or applications. This enables you to seek out further information that may be relevant to your initial search.

Proper citation: SRS (RRID:SCR_010736) Copy   

•   Source: SciCrunch Registry

http://cbcb.umd.edu/software/metAMOS

A modular and open source metagenomic assembly and analysis pipeline.

Proper citation: MetAMOS (RRID:SCR_011914) Copy   

•   Source: SciCrunch Registry

http://www.hupo.org/

The Human Proteome Organisation (HUPO) is an international scientific organization representing and promoting proteomics through international cooperation and collaborations by fostering the development of new technologies, techniques and training.

Proper citation: HUPO - Human Proteome Organisation (RRID:SCR_010707) Copy   

•   Source: SciCrunch Registry

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

Software providing de novo, parallel, paired-end sequence assembler that is designed for short reads. ABySS 1.0 originally showed that assembling human genome using short 50 bp sequencing reads was possible by aggregating half terabyte of compute memory needed over several computers using standardized message passing system. ABySS 2.0 is Resource Efficient Assembly of Large Genomes using Bloom Filter. ABySS 2.0 departs from MPI and instead implements algorithms that employ Bloom filter, probabilistic data structure, to represent de Bruijn graph and reduce memory requirements.

Proper citation: ABySS (RRID:SCR_010709) Copy   

•   Source: SciCrunch Registry

http://bioinf.wehi.edu.au/limma/

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

Proper citation: LIMMA (RRID:SCR_010943) Copy   

•   Source: SciCrunch Registry

http://rth.dk/resources/rnasnp/

Software / Web Server to predict the effect of SNPs on local RNA secondary structure based on the RNA folding algorithms implemented in the Vienna RNA package.

Proper citation: RNAsnp (RRID:SCR_010837) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/citexplore/

CiteXplore combines literature search with text mining tools for biology. Search results are cross referenced to EBI applications based on publication identifiers. Links to full text versions are provided where available. The underlying database is populated with data from Medline, Patents, C.B.A. and Citeseer. The site offers a quick search as well as an advanced search. Results of queries can be saved in formats compatible with commonly-used bibliographic management software and exported. We provide a Simple Object Access Protocol (SOAP) based service to retrieve data from the Citation database. Text mining is provided internally by Whatizit and externally by iHOP.

Proper citation: CiteXplore literature searching (RRID:SCR_010676) Copy   

•   Source: SciCrunch Registry

http://psidev.sourceforge.net/mi/xml/doc/user/index.html

The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. As a first step, the PSI is developing standards for two key areas of proteomics: mass spectrometry and protein-protein interaction data. The document describes the molecular interaction data exchange format. PSI is following a leveled approach to building this specification. Level 1 will describe protein interactions at a basic level that covers a large amount of currently available data. Subsequent levels will add capability to represent new molecular interaction information that the community wishes to exchange. The scope of PSI MI is currently limited to protein-protein interactions. Other molecules, such as small molecules, DNA and RNA maybe taken into account in the future. The PSI MI format is a data exchange format for protein-protein interactions. It is not a proposed database structure. The purpose of the document is to describe the general structure of the PSI MI XML specification in a more user-friendly manner than the specification does itself. PSI MI was designed by a group of people including representatives from database providers and users in both academia and industry. PSI MI is supported by the DIP, MINT, IntAct, BIND and HPRD databases.

Proper citation: PSI-MI (RRID:SCR_010710) Copy   

•   Source: SciCrunch Registry

http://www.most.gov.cn/eng/programmes1/200610/t20061009_36223.htm

A Chinese-based national program for furthering basic scientific research. The program has three main aims, which include: supporting research on issues concerning national socioeconnomic development, creating a highly-skilled cohort of scientists, and improving program management to encourage innovation.

Proper citation: 973 Program (RRID:SCR_011494) Copy   

•   Source: SciCrunch Registry

http://kissplice.prabi.fr/

Software tool that enables analysis of RNA-seq data with or without reference genome. Local transcriptome assembler for SNPs, indels and AS events.

Proper citation: KisSplice (RRID:SCR_011893) Copy   

•   Source: SciCrunch Registry

http://uc-echo.sourceforge.net/

Error correction algorithm designed for short-reads from next-generation sequencing platforms such as Illumina''s Genome Analyzer II.

Proper citation: ECHO (RRID:SCR_011851) Copy   

•   Source: SciCrunch Registry

http://opossum.cisreg.ca

A web-based system for the detection of over-represented conserved transcription factor binding sites and binding site combinations in sets of genes or sequences.

Proper citation: oPOSSUM (RRID:SCR_010884) Copy   

•   Source: SciCrunch Registry

http://www.arrayanalysis.org/

Tools for microarray quality control and pre-processing.

Proper citation: ArrayAnalysis.org (RRID:SCR_010932) Copy   

•   Source: SciCrunch Registry

http://snpanalyzer.uthsc.edu/

A tool to predict whether a nonsynonymous single nucleotide polymorphism (nsSNP) has a phenotypic effect.

Proper citation: nsSNPAnalyzer (RRID:SCR_010780) Copy   

•   Source: SciCrunch Registry

http://i122server.vu-wien.ac.at/CANGS1.1/

A user-friendly utility for processing and analyzing 454 GS-FLX data in biodiversity studies.

Proper citation: CANGS (RRID:SCR_011837) Copy   

•   Source: SciCrunch Registry