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http://geoss.sourceforge.net/

A complete software system used to store and analyze gene expression data.

Proper citation: GEOSS (RRID:SCR_003401) Copy   

•   Source: SciCrunch Registry

https://github.com/mozack/abra

Software that is a realigner for next generation sequencing data. It uses localized assembly and global realignment to align reads more accurately, thus improving downstream analysis (detection of indels and complex variants in particular).

Proper citation: Assembly Based ReAligner (RRID:SCR_003277) Copy   

•   Source: SciCrunch Registry

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

Software package providing functions for the selection of optimal reference genes and the normalization of real-time quantitative PCR data.

Proper citation: NormqPCR (RRID:SCR_003388) Copy   

•   Source: SciCrunch Registry

http://www.gene-quantification.de/bestkeeper.html

Excel-based tool using pair-wise correlations for determination of stable housekeeping genes, differentially regulated target genes and sample integrity. It determines the best suited standards, out of ten candidates, and combines them into an index. The index can be compared with further ten target genes to decide, whether they are differentially expressed under an applied treatment. All data processing is based on crossing points.

Proper citation: BestKeeper (RRID:SCR_003380) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/amplicon/

Software tool for designing PCR primers on aligned groups of DNA sequences. The most important application is the design of "group-specific" PCR primer sets that amplify a DNA region from a given taxonomic group but do not amplify orthologous regions from other taxonomic groups. It is written in Python 2.3 and Tkinter 8.4. The current script was created for Windows and an executable is available. Future versions of the script should be able to run on Linux and Mac

Proper citation: Amplicon (RRID:SCR_003294) Copy   

•   Source: SciCrunch Registry

http://www.xenbase.org/

Data collection for Xenopus laevis and Xenopus tropicalis biology and genomics.

Proper citation: Xenbase (RRID:SCR_003280) Copy   

•   Source: SciCrunch Registry

https://github.com/fhcrc/nestly

A Python package to facilitate running tools with nested combinations of parameters and inputs. It provides three components: a module to build nested directory structures corresponding to choices of parameters; the nestrun script to run a given command using each set of parameter choices; the nestagg script to aggregate results of the individual runs into a CSV file, as well as support for more complex aggregation. Also included is a module for easily specifying nested dependencies for the SCons build tool, enabling incremental builds.

Proper citation: Nestly (RRID:SCR_003472) Copy   

•   Source: SciCrunch Registry

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

A collection of tools to facilitate population genetic studies of next generation sequencing data from pooled individuals. It builds upon open source tools (bwa, samtools) and uses standard file formats (gtf, sam, pileup) to ensure a wide compatibility. PoPoolation allows to calculate Tajima's Pi, Watterson's Theta and Tajima's D for reference sequences using a sliding window approach. Alternatively these population genetic estimators may be calculated for a set of genes (provided as gtf). One of the main challenges in population genomics is to identify regions of intererest on a genome wide scale. PoPoolation will greatly aid this task by allowing a fast and user friendly analysis of NGS data from DNA pools.

Proper citation: PoPoolation (RRID:SCR_003495) Copy   

•   Source: SciCrunch Registry

https://github.com/delt0r/msms

A coalescent simulation software program for a structured population including recombination, demographic structure and selection at a single diploid locus.

Proper citation: MSMS (RRID:SCR_003532) Copy   

•   Source: SciCrunch Registry

http://www.humanvariomeproject.org/

Project facilitating the establishment and maintenance of standards systems and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The Human Variome Project produces two categories of recommendations: HVP Standards and HVP Guidelines. HVP Standards are those systems, procedures and technologies that the Human Variome Project Consortium has determined should be used by the community. These carry more weight than the less prescriptive HVP Guidelines, which cover those systems, procedures and technologies that the Human Variome Project Consortium has determined would be beneficial for the community to adopt. HVP Standards and Guidelines are central to supporting the work of the Human Variome Project Consortium and cover a wide range of fields and disciplines, from ethics to nomenclature, data transfer protocols to collection protocols from clinics. They can be thought of as both technical manuals and scientific documents, and while the impact of HVP Standards and Guidelines differ, they are both generated in a similar fashion. A document has been generated both as a guide for those collecting and distributing data and for those developing policy. Items should include those generated by HGVS/HVP collaborators as well as those generated by groups of individual Societies and Standards bodies in all relevant fields worldwide.

Proper citation: Human Variome Project (RRID:SCR_003492) Copy   

•   Source: SciCrunch Registry

http://nanostride.soe.ucsc.edu/

Web application that accepts the raw count data produced by the NanoString nCounter analysis system, normalizes it according to guidelines provided by NanoString Technologies, performs differential expression analysis on the normalized data, and provides a heatmap of the results from the differential expression analysis.

Proper citation: NanoStriDE (RRID:SCR_003407) Copy   

•   Source: SciCrunch Registry

http://www.c2b2.columbia.edu/danapeerlab/html/jistic.html

Software tool for analyzing datasets of genome-wide copy number variation to identify driver aberrations in cancer.

Proper citation: JISTIC (RRID:SCR_003482) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/genomation/

Software R package for simplfiying common tasks in genomic feature analysis. Toolkit to summarize, annotate and visualize genomic intervals. Provides functions for reading BED and GFF files as GRanges objects, summarizing genomic features over predefined windows so users can make average enrichment of features over defined regions or produce heatmaps. Can annotate given regions with other genomic features such as exons,introns and promoters.

Proper citation: genomation (RRID:SCR_003435) Copy   

•   Source: SciCrunch Registry

http://www.genabel.org/packages/MetABEL

Software for meta-analysis of genome-wide SNP association results.

Proper citation: MetABEL (RRID:SCR_003429) Copy   

•   Source: SciCrunch Registry

https://github.com/dbitton/LaSSO

An R script that creates a FASTA database containing all possible lariat signatures from a given set of introns.

Proper citation: LaSSO (RRID:SCR_003418) Copy   

•   Source: SciCrunch Registry

http://www.metafor-project.org/doku.php

A free and open-source add-on for conducting meta-analyses with the statistical software environment R.

Proper citation: metaphor (RRID:SCR_003450) Copy   

•   Source: SciCrunch Registry

http://prosite.expasy.org/

Database of protein families and domains that is based on the observation that, while there is a huge number of different proteins, most of them can be grouped, on the basis of similarities in their sequences, into a limited number of families. Proteins or protein domains belonging to a particular family generally share functional attributes and are derived from a common ancestor. It is complemented by ProRule, a collection of rules based on profiles and patterns, which increases the discriminatory power of profiles and patterns by providing additional information about functionally and/or structurally critical amino acids. ScanProsite finds matches of your protein sequences to PROSITE signatures. PROSITE currently contains patterns and profiles specific for more than a thousand protein families or domains. Each of these signatures comes with documentation providing background information on the structure and function of these proteins. The database is available via FTP.

Proper citation: PROSITE (RRID:SCR_003457) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/minfi.html

Software that improves the results from the Illumina infinium HumanMethylation450 BeadChips by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.

Proper citation: SWAN (RRID:SCR_003455) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/bmiq/

Software using a beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.

Proper citation: BMIQ (RRID:SCR_003446) Copy   

•   Source: SciCrunch Registry

http://gepat.sourceforge.net/

A web-based software tool offering an integrated analysis of transcriptome data under genomic, proteomic and metabolic context.

Proper citation: GEPAT (RRID:SCR_003597) Copy   

•   Source: SciCrunch Registry