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THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 28, 2017. Foundation that helps junior physicians and neuroscientists continue their research on Parkinson's Disease and related disorders, with financial support for professional and intellectual development. It promotes an international community of researchers, focusing on the young enthusiastic investigators and clinicians who might otherwise be forced to abandon their ideas and efforts.
Proper citation: Melvin Yahr International Parkinson's Disease Foundation (RRID:SCR_001652) Copy
http://sourceforge.net/projects/dnaclust/
Software program for clustering large number of short similar DNA sequences. It was originally designed for clustering targeted 16S rRNA pyrosequencing reads.
Proper citation: DNACLUST (RRID:SCR_001771) Copy
An open source data warehouse system built for the integration and analysis of complex biological data that enables the creation of biological databases accessed by sophisticated web query tools. Parsers are provided for integrating data from many common biological data sources and formats, and there is a framework for adding data. InterMine includes a user-friendly web interface that works "out of the box" and can be easily customized for specific needs, as well as a powerful, scriptable web-service API to allow programmatic access to data.
Proper citation: InterMine (RRID:SCR_001772) Copy
Global nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.
Proper citation: ATCC (RRID:SCR_001672) Copy
http://www.bioconductor.org/packages/release/bioc/html/unifiedWMWqPCR.html
Software package that implements the unified Wilcoxon-Mann-Whitney Test for qPCR data. This modified test allows for testing differential expression in qPCR data.
Proper citation: unifiedWMWqPCR (RRID:SCR_001706) Copy
https://github.com/sbotond/rlsim
Software package for simulating RNA-seq library preparation with parameter estimation.
Proper citation: rlsim (RRID:SCR_001703) Copy
http://www.bioconductor.org/packages/release/bioc/html/RSVSim.html
A software package for the simulation of deletions, insertions, inversions, tandem duplications and translocations of various sizes in any genome available as FASTA-file or data package in R. SV breakpoints can be placed uniformly accross the whole genome, with a bias towards repeat regions and regions of high homology (for hg19) or at user-supplied coordinates.
Proper citation: RSVSim (RRID:SCR_001777) Copy
Annual Reviews offers comprehensive, timely collections of critical reviews written by leading scientists. It publishes authoritative, analytic reviews in 37 focused disciplines within the Biomedical, Life, Physical, and Social Sciences. The mission of Annual Reviews is to provide systematic, periodic examinations of scholarly advances in a number of fields of science through critical authoritative reviews. The comprehensive critical review not only summarizes a topic but also roots out errors of fact or concept and provokes discussion that will lead to new research activity. The critical review is an essential part of the scientific method. Sponsors: Annual Reviews is a non-profit organization created and managed by scientists to serve science by publishing reviews in 40 different scientific fields.
Proper citation: Annual Reviews: A Nonprofit Scientific Publisher (RRID:SCR_001655) Copy
http://www.bioconductor.org/packages/release/bioc/html/TCC.html
An R package that provides a series of functions for differential expression analysis from RNA-seq count data using robust normalization strategy (called DEGES). The basic idea of DEGES is that potential differentially expressed genes or transcripts (DEGs) among compared samples should be removed before data normalization to obtain a well-ranked gene list where true DEGs are top-ranked and non-DEGs are bottom ranked. This can be done by performing a multi-step normalization strategy (called DEGES for DEG elimination strategy). A major characteristic of TCC is to provide the robust normalization methods for several kinds of count data (two-group with or without replicates, multi-group/multi-factor, and so on) by virtue of the use of combinations of functions in other sophisticated packages (especially edgeR, DESeq, and baySeq).
Proper citation: TCC (RRID:SCR_001779) Copy
Network of three teaching hospitals affiliated with the medical school of Université Laval and several specialized institutions in Quebec City.
Proper citation: University of Quebec Hospital Centre; Quebec; Canada (RRID:SCR_006740) Copy
http://watson.nci.nih.gov/bioc_mirror/packages/2.11/bioc/html/EDASeq.html
Software for numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: EDASeq (RRID:SCR_006751) Copy
http://sourceforge.net/projects/polgui/
An interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms), # polgui_ver1_r14 : works with 1 receiver (stylus pen) # polgui_ver2_r14 : works with 2 receivers (including the pen) # polgui_ver3_r14 : works with 3 receivers(including the pen) # polgui_ver4_r14 : works with 4 receivers (including the pen) # polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers (WARNING: Ver 5 might be buggy; not fully tested) Requirements: MATLAB R14 (Linux/Windows)
Proper citation: POLGUI - Matlab Polhemus Interface (RRID:SCR_006752) Copy
http://sourceforge.net/projects/mubiomics/
A set of scripts (mostly python) for processing reads generated by the Roche 454 or Illumina next-gen sequencing platforms. Included are quality control, read demultiplexing and microbiome characterisation scripts for use with usearch, pplacer and RDP classifier.
Proper citation: mubiomics (RRID:SCR_006785) Copy
http://www.bioconductor.org/packages/2.11/bioc/html/ShortRead.html
Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats.
Proper citation: ShortRead (RRID:SCR_006813) Copy
http://compbio.bccrc.ca/software/mutationseq/
A software suite using feature-based classifiers for somatic mutation prediction from paired tumour/normal next-generation sequencing data. mutationSeq has the advantages of integrating different features (e.g., base qualities, mapping qualities, strand bias, and tailed distance features), and validated somatic mutations to make predictions. Given paired normal/tumour bam files, mutationSeq will output the probability of each candidate site being somatic.
Proper citation: mutationSeq (RRID:SCR_006815) Copy
Public university located in Rostock, Mecklenburg-Vorpommern, Germany. Founded in 1419.
Proper citation: University of Rostock; Mecklenburg-Vorpommern; Germany (RRID:SCR_006816) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/RIPSeeker.html
A statistical software package for identifying protein-associated transcripts from RIP-seq experiments. Infer and discriminate RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.
Proper citation: RIPSeeker (RRID:SCR_006810) Copy
The BioBricks Foundation (BBF) is dedicated to advancing synthetic biology to benefit all people and the planet. To achieve this, we must make engineering biology easier, safer, equitable, and more open. We do this in the following ways: by ensuring that the fundamental building blocks of synthetic biology are freely available for open innovation; by creating community, common values and shared standards; and by promoting biotechnology for all constructive interests. We envision a world in which scientists and engineers work together using BioBric parts freely available standardized biological parts to create safe, ethical solutions to the problems facing humanity. We envision synthetic biology as a force for good in the world. We see a future in which architecture, medicine, environmental remediation, agriculture, and many other fields are using the technology of synthetic biology. Our supporters are many and include corporations, individuals, institutions, foundations, government, corporations, and others. Currently, the BBF''s key programs include: * BIOFAB * BioBrick Public Agreement * Technical Standards Framework * Conferences and Workshops * BBF Global Network * OpenWetWare
Proper citation: BioBricks Foundation (RRID:SCR_006779) Copy
http://sourceforge.net/projects/qudaich/
A software package for local sequence alignment for next-generation sequencing (NGS) data. It generates the pairwise local alignments between a query dataset against a database. The main design purpose of qudaich is to focus on datasets from next generation sequencing. These the datasets generally have hundreds of thousand sequences or more, and so, the input database should contain large number of sequences. Qudaich is flexible and its algorithmic structure imposes no restriction on the absolute limit of the acceptable read length, but the current version of qudaich allow read length <2000 bp. Qudaich can be used to align DNA, translated DNA and protein sequences.
Proper citation: Qudaich (RRID:SCR_006775) Copy
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