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http://neurolex.org/wiki/Main_Page

A freely editable semantic wiki for community-based curation of the terms used in Neuroscience. Entries are curated and eventually incorporated into the formal NIFSTD ontology. NeuroLex also includes a Resource branch for community members to freely add neuroscience relevant resources that do not become part of NIFSTD ontology but rather make up the NIF Registry. As part of the NIF, we provide a simple search interface to many different sources of neuroscience information and data. To make this search more effective, we are constructing ontologies to help organize neuroscience concepts into category hierarchies, e.g., neuron is a cell. These categories provide the means to perform more effective searches and also to organize and understand the information that is returned. But an important adjunct to this activity is to clearly define all of the terms that we use to describe our data, e.g., anatomical terms, techniques, organism names. Because wikis provide an easy interface for communities to contribute their knowledge, we started the NeuroLex.

Proper citation: NeuroLex (RRID:SCR_005402) Copy   

•   Source: SciCrunch Registry

http://pringlelab.stanford.edu/projects.html

Software to collapse identical and near-identical Illumina and 454 reads (such as those from PCR clones) into single error-corrected sequences; it can process paired-end as well as single-end reads. Fulcrum is customizable and can be deployed on a single machine, a local network or a commercially available MapReduce cluster, and it has been optimized to maximize ease-of-use, cross-platform compatibility and future scalability. Sequence datasets have been collapsed by up to 71%, and the reduced number and improved quality of the resulting sequences allow assemblers to produce longer contigs while using less memory.

Proper citation: Fulcrum (RRID:SCR_005523) Copy   

•   Source: SciCrunch Registry

http://maq.sourceforge.net/

A set of programs that map and assemble fixed-length Solexa/SOLiD reads in a fast and accurate way.

Proper citation: Maq (RRID:SCR_005485) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/mosaik-aligner/

A reference-guided assembler comprising of two main modular programs: MosaikBuild and MosaikAligner. MosaikBuild converts various sequence formats into Mosaik?s native read format. MosaikAligner pairwise aligns each read to a specified series of reference sequences and produces BAMs as outputs. At this time, the workflow consists of supplying sequences in FASTA, FASTQ, Illumina Bustard & Gerald, or SRF file formats and producing results in the BAM format. Unlike many current read aligners, MOSAIK produces gapped alignments using the Smith-Waterman algorithm. MOSAIK is written in highly portable C++ and currently targetted for the following platforms: Microsoft Windows, Apple Mac OS X, FreeBSD, and Linux operating systems. Other platforms can easily be supported upon request. MOSAIK is multithreaded. If you have a machine with 8 processors, you can use all 8 processors to align reads faster while using the same memory footprint as when using one processor. MOSAIK supports multiple sequencing technologies. In addition to legacy technologies such as Sanger capillary sequencing, our program supports next generation technologies such as Roche 454, Illumina, AB SOLiD, and experimental support for the Helicos Heliscope.

Proper citation: MOSAIK (RRID:SCR_005486) Copy   

•   Source: SciCrunch Registry

http://chipexo.sourceforge.net/

A bioinformatics tool dedicated to analyze ChIP-exo data: 1) Sequencing depth normalization and nucleotide composition bias correction. 2) Signal consolidation and noise reduction. 3) Single base resolution border detection. 4) Border matching.

Proper citation: MACE (RRID:SCR_005520) Copy   

•   Source: SciCrunch Registry

http://cibiv.github.io/NextGenMap/

A mapping program for Next Generation Sequencing reads that is more than twice as fast as BWA, while achieving a mapping sensitivity similar to Stampy or Bowtie2. NextGenMap uses a memory efficient index structure (hash table) to store the positions of all 13-mers present in the reference genome. This index enables a quick identification of potential mapping regions for every read. Unlike other methods, NextGenMap dynamically determines for each read individually how many of the potential mapping regions have to be evaluated by a pairwise sequence alignment. Moreover, NextGenMap uses fast SIMD instructions (SSE) to accelerate the alignment calculations on the CPU. If available NextGenMap calculates the alignments on the GPU (using OpenCL/CUDA) resulting in a runtime reduction of another 20 - 50 %, depending on the underlying data set.

Proper citation: NextGenMap (RRID:SCR_005488) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/ea-utils/

Command-line software tools for processing biological sequencing data. Barcode demultiplexing, adapter trimming, etc. Primarily written to support an Illumina based pipeline - but should work with any FASTQs.

Proper citation: ea-utils (RRID:SCR_005553) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/bseqc/

A quality control software package specially for bisulfite sequencing experiments. It can comprehensively evaluate the quality of BS-seq experiments and automatically trim nucleotides with potential technical biases. In addition, BSeQC also support removing duplicate reads and keeping one copy of the overlapping segment in paired-end sequencing.

Proper citation: BSeQC (RRID:SCR_005428) Copy   

•   Source: SciCrunch Registry

http://brainarray.mbni.med.umich.edu/brainarray/ngsqc/

Software pipeline that provides a set of novel quality control measures for quickly detecting a wide variety of quality issues in deep sequencing data derived from two dimensional surfaces, regardless of the assay technology used. It also enables researchers to determine whether sequencing data related to their most interesting biological discoveries are caused by sequencing quality issues. NGSQC can help to ensure that biological conclusions, in particular those based on relatively rare sequences, are not caused by low quality sequencing., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NGSQC (RRID:SCR_005459) Copy   

•   Source: SciCrunch Registry

http://www.stat.purdue.edu/~cheng70/code.html

A classification software for DNA methylation profiling with bisulphite next-generation sequencing data.

Proper citation: MSC (RRID:SCR_005450) Copy   

•   Source: SciCrunch Registry

http://smithlab.usc.edu/plone/software/mlml

A software tool to simultaneously estimate hydroxymethylation (5hmC) and methylation (5mC) levels from BS-seq, oxBS-seq and TAB-seq experiments. It generates consistent estimates across experiment types.

Proper citation: MLML (RRID:SCR_005449) Copy   

•   Source: SciCrunch Registry

http://bioinfo2.ugr.es/MethylExtract/

A user friendly software tool to generate i) high quality, whole genome methylation maps and ii) to detect sequence variation within the same sample preparation.

Proper citation: MethylExtract (RRID:SCR_005446) Copy   

•   Source: SciCrunch Registry

http://campagnelab.org/software/gobyweb/

Web application that facilitates the management and analysis of high-throughput sequencing (HTS) data. In the back-end, it uses the Goby framework, BWA, STAR, Last, GSNAP, Samtools, VCF-tools, along with a cluster of servers to provide rapid alignment and efficient analyses. GobyWeb makes it possible to analyze hundreds of samples in consistent ways without having to use command line tools. GobyWeb provides tools that streamline frequent data analyses for RNA-Seq, Methyl-Seq, RRBS, or DNA-Seq datasets and to enable teams of investigators to share reads and results of analyses. GobyWeb can be extended for new analyses by developing plugins.

Proper citation: GobyWeb (RRID:SCR_005443) Copy   

•   Source: SciCrunch Registry

http://www.computationalbioenergy.org/qc-chain.html

A software package of quality control tools for next generation sequencing (NGS) data, consisting of both raw reads quality evaluation and de novo contamination screening, which could identify all possible contamination sequences. This QC pipeline supplies a fast, easy-to-use, and parallel processing approach to accomplish the comprehensive QC steps, which could be applied widely to almost all kinds of NGS reads, including genomic, transcriptomic and metagenomic data.

Proper citation: QC-Chain (RRID:SCR_005438) Copy   

•   Source: SciCrunch Registry

https://github.com/laserson/vdj

Python package for analysing immune receptor sequences (antibodies and T cell receptors).

Proper citation: VDJ (RRID:SCR_005475) Copy   

•   Source: SciCrunch Registry

http://carringtonlab.org/resources/cashx

Software pipeline to parse, map, quantify and manage large quantities of sequence data. CASHX is a set of tools that can be used together, or as independent modules on their own. The reference genome alignment tools can be used with any reference sequence in fasta format. The pipeline was designed and tested using Arabidopsis thaliana small RNA reads generated using an Illumina 1G.

Proper citation: CASHX (RRID:SCR_005477) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/p/treq/home/Home/

A software read mapper for high-throughput DNA sequencing reads, in particular one to several hundred nucleotides in length, and for large edit distance between sequencing read and match in the reference genome. It can cope particularly well with indels for single-best hit recall of 200nt reads simulated from the human reference genome. TreQ performs best at a running time comparable to BWA at large edit distance settings.

Proper citation: TreQ (RRID:SCR_005505) Copy   

•   Source: SciCrunch Registry

http://diprogb.fli-leibniz.de/

Genome browser that encodes the genome sequence by physico-chemical dinucleotide properties such as stacking energy, melting temperature or twist angle. Analyses can be performed for the + and ?, as well as for the double strand.

Proper citation: DiProGB (RRID:SCR_005651) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.zj.cn/magicviewer/

Software to easily visualize the short reads alignment, identify the genetic variation and associate with the annotation information of reference genome. MagicViewer provides a user-friendly interface in which large-scale short reads and sequencing depth can be easily visualized in zoomable images under user definable color scheme through an operating system-independent manner with the implement of Java language. Meanwhile, it holds a versatile genetic variation annotation and visualization interface, providing details of the query options, functional classifications, subset selection, sequence association and primer design.

Proper citation: MagicViewer (RRID:SCR_005648) Copy   

•   Source: SciCrunch Registry

https://trac.nbic.nl/wisecondor/

A set of python scripts that detects fetal chromosomal and subchromosomal duplications and deletions in maternal blood samples., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: WISECONDOR (RRID:SCR_005646) Copy   

•   Source: SciCrunch Registry