Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://github.com/brentp/mosdepth
Software command line tool for rapidly calculating genome wide sequencing coverage. Measures depth from BAM or CRAM files at either each nucleotide position in genome or for sets of genomic regions. Used for fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing quick coverage calculation for genomes and exomes.
Proper citation: mosdepth (RRID:SCR_018929) Copy
http://www.gohad.uwa.edu.au/software/simhap
Software application providing a comprehensive modelling framework and a multiple-imputation approach to haplotypic analysis of population-based data. It uses biallelic SNP genotype data to impute haplotype frequencies at the individual level. SimHap also tests for haplotype associations with outcomes of interest while incorporating the uncertainty around inferred haplotypes into the modelling procedure. SimHap allows epidemiological (ie, non-genetic) and both single SNP and haplotype association analyses of quantitative Normal, binary, longitudinal and right-censored outcomes under a range of genetic models. SimHap can accommodate large data sets, and can model genetic and environmental effects, including complex haplotype:environment interactions. SimHap features cross-platform functionality via Java, and a sophisticated graphical user interface (GUI). SimHap will also perform association analysis on more simple epidemiological models, with or without the inclusion of genetic covariates. (entry from Genetic Analysis Software)
Proper citation: SIMHAP (RRID:SCR_009384) Copy
http://www.genengnews.com/keyword/next-generation-sequencing/231
News source including the entire bioproduct life cycle from early-stage R&D, to applied research including omics, biomarkers, as well as diagnostics, to bioprocessing and commercialization.
Proper citation: GEN (RRID:SCR_012901) Copy
An open-source software package for describing and comparing microbial communities. It incorporates the functionality of a number of computational tools, calculators, and visualization tools.
Proper citation: mothur (RRID:SCR_011947) Copy
Open Source laboratory information management systems.
Proper citation: BIKA (RRID:SCR_011828) Copy
http://toolkit.tuebingen.mpg.de/
A platform that integrates a great variety of tools for protein sequence analysis. Many tools are developed in-house, and serveral public tools are offered with extended functionality. Most frequently used tools HHpred Sensitive protein homology detection and structure prediction by HMM-HMM-comparison. Starting from a query sequence, HHpred builds a multiple sequence alignment using HHblits and turns it into a profile HMM. This is then compared it with a database of HMMs representing proteins with known structure (e.g. PDB, SCOP) or annotated protein families (e.g. PFAM, SMART, CDD, COGs, KOGs). The output is a list of closest homologs with alignments. HHpred can also build 3d homology models using the identified templates in the PDB database. It can optimize template picking and query-template alignments for homology modeling. The HHblits software is part of the open source package HHsuite. HHblits Remote homology detection method based on iterative HMM-HMM comparison. HHblits can build high-quality MSAs starting from single sequences or from MSAs. It transforms these into a query HMM and iteratively searches through uniprot20 or nr20 databases by adding significantly similar sequences from the previous search to the updated query HMM for the next search iteration. Compared to PSI-BLAST, HHblits is faster, up to twice as sensitive and produces more accurate alignments. The HHblits software is part of the open source package HHsuite. Quick2d Quick2D gives you an overview of secondary structure features like alpha-helices, extended beta-sheets, coiled coils, transmembrane helices and disorder regions. Predictions by PSIPRED, JNET, Prof(Rost), Prof(Ouali), Coils, MEMSAT2, HMMTOP, DISOPRED2 and VSL2. Modeller A Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Coils/PCoils This server compares a single sequence (COILS) or a sequence alignment (PCOILS) to a database of known coiled-coils and derives a similarity score. The program then calculates the probability that the sequence will adopt a coiled-coil conformation. PSI-Blast Search with an amino acid sequence against protein databases for locally similar sequences. Similar to ProteinBLAST but more sensitive. PSI-BLAST first performs a BLAST search and builds an alignment from the best local hits. This alignment is then used as a query for the next round of search. After each successive round the search alignment is updated.
Proper citation: Bioinformatics Toolkit (RRID:SCR_010277) Copy
http://pipeline.lbl.gov/cgi-bin/gateway2
Software tools for comparative genomics.Comprehensive suite of programs and databases for comparative analysis of genomic sequences. There are two ways of using VISTA - you can submit your own sequences and alignments for analysis (VISTA servers) or examine pre-computed whole-genome alignments of different species.
Proper citation: VISTA Browser (RRID:SCR_011808) Copy
https://github.com/songlab/NSeq
A multithreaded Java application for finding positioned nucleosomes from sequencing data.
Proper citation: NSeq (RRID:SCR_010891) Copy
A web magazine helping bioinformatician or scientists find jobs, conferences, courses, companies and more stuff related to Bioinformatics.
Proper citation: Bioinformatics.fr (RRID:SCR_011987) Copy
Service that retrieves disease relevant information from Twitter tweets and shows current hotspots of disease outbreaks on an interactive map. It is an ontology-driven system for detecting global health events
Proper citation: BioCaster (RRID:SCR_011869) Copy
Open source software for building AWS-compatible private and hybrid clouds for IT organizations in enterprises and technology businesses.
Proper citation: Eucalyptus (RRID:SCR_011872) Copy
http://faculty.washington.edu/browning/presto/presto.html
Software application that performs permutation testing and computes empirical distributions of order statistics for one and two stage association studies with stratified or unstratified data.
Proper citation: PRESTO: Genetic Association Analysis Software (RRID:SCR_013285) Copy
Commercial software company offering on-demand cloud, hybrid hosting, hosted private cloud, and dedicated infrastructure for complex needs.
Proper citation: GoGrid (RRID:SCR_013204) Copy
http://genecanvas.ecgene.net/#!index.md#THESIAS:_testing_haplotype_effects_in_association_studies
Software program that performs haplotype-based association analysis in unrelated individuals. This program is based on a maximum likelihood model described in Tregouet et al. 2002 and is linked to the stochastic EM (SEM) algorithm. THESIAS allows the simultaneous estimation of haplotype frequencies and of their associated effects on the phenotype of interest. In its current version, both quantitative and qualitative phenotypes can be studied. Covariate-adjusted haplotype effects as well as haplotype x covariate interactions can be investigated. (entry from Genetic Analysis Software)
Proper citation: THESIAS (RRID:SCR_013449) Copy
https://www.hsph.harvard.edu/alkes-price/software/
Software application that uses genotyping data from SNP arrays for accurately inferring chromosomal segments of distinct continental ancestry in admixed populations, using dense genetic data. (entry from Genetic Analysis Software)
Proper citation: Hapmix (RRID:SCR_004203) Copy
http://www.biocomputing.it/fidea/
A web server for the functional interpretation of differential expression analysis. It can: * Calculate overrepresentation statistics using KEGG, Interpro, Gene Ontology Molecular Function, Gene Ontology Biological Process, Gene Ontology Cellular Component and GoSlim classifications; * Analyze down-regulated and up-regulated DE genes separately or together as a single set; * Provide interactive graphs and tables that can be modified on the fly according to user defined parameters; the user can set a fold change filter and interactively see the effects on the gene set under examination; * Output publication-ready plot of the graph; * Compare the results of several experiments in any combination.
Proper citation: FIDEA (RRID:SCR_004187) Copy
A Wiki-based database for transcription factor-binding data generated by the ENCODE consortium.
Proper citation: Factorbook (RRID:SCR_004086) Copy
http://www.mycancergenome.org/
A freely available online personalized cancer medicine knowledge resource for physicians, patients, caregivers and researchers that gives up-to-date information on what mutations make cancers grow and related therapeutic implications, including available clinical trials. It is a one-stop tool that matches tumor mutations to therapies, making information accessible and convenient for busy clinicians.
Proper citation: My Cancer Genome (RRID:SCR_004140) Copy
http://tools.niehs.nih.gov/polg/
Database that lists all known mutations in the coding region of the POLG gene and describes the associated disease. Human DNA polymerase is composed of two subunits, a 140 kDa catalytic subunit encoded by the POLG on chromosome 15q25, and a 55kDa accessory subunit encoded by the POLG2 gene on chromosome 17q23-24. A number of mutations have been mapped to the gene for the catalytic subunit of DNA polymerase, POLG, and found to be associated with mitochondrial diseases. The nucleotide changes are numbered from the initiation Methionine codon and are based on the cDNA (accession U60325.1) and gene sequence (accession AF497906.1).
Proper citation: Human DNA Polymerase Gamma Mutation Database (RRID:SCR_004722) Copy
http://bioinfo.au.tsinghua.edu.cn/nu_oscar/oscar.html
Software tool to identify binding sites of known transcription factors on promoter regions. The algorithm is based on one-class support vector machine (One-class SVM). OSCAR uses the sequential composition of known binding sites, and further incorporates the locational preferences of binding events. Nu-OSCAR (Nucleosome-Occupancy Study for Cis-elments Accurate Recognition) is a program that can be used to identify binding sites of known transcription factors, which further incorporates nucleosome occupancy around sites on promoter regions, thereby improving the accuracy of prediction. The derivation of the the algorithm is based on a biophysical view of interactions between protein factors and nucleosome DNA.
Proper citation: Nu-OSCAR (RRID:SCR_004513) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.