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http://sammeth.net/confluence/display/FLUX/Home

Software to recontruct abundances of known transcript forms from RNAseq data. The algorithm works by distributing the reads mapping to a given exonic region (or splice junction) among the transcripts including the exon (or splice junction). The input is the annotation of a reference transcriptome and reads from RNAseq technologies aligned to the genome. From the reference annotation, splicing graphs are produced and reads are mapped to corresponding edges in these graphs according to the position where they align in the genomic sequence. The resulting graph with edges labelled by the number of reads can be interpreted as a flow network where each transcript representing a transportation path from its start to its end and consequently each edge a possibly shared segment of transportation along which a certain number of reads per nucleotide -- i.e., a flux -- is observed. Given a density function of reads along a transcript, the expected participation of each transcript in an edge under consideration can be estimated. The basic idea is to cast back from these latter participations and the observed number of reads - allowing for a certain amount of noise - to the original transcript abundancies. To do so, a linear constraint is formalized for each edge, and an optimal solution for the complete set of constraints is found by a standard linear program solver.

Proper citation: FLUX CAPACITOR (RRID:SCR_006651) Copy   

•   Source: SciCrunch Registry

http://www.proteinatlas.org/

Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.

Proper citation: The Human Protein Atlas (RRID:SCR_006710) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/fitgcp/

Software providing a framework for fitting mixtures of probability distributions to genome coverage profiles.

Proper citation: fitGCP (RRID:SCR_006741) Copy   

•   Source: SciCrunch Registry

http://www.niehs.nih.gov/research/resources/software/biostatistics/eagleview/

An information-rich viewer for next-generation genome assembles with data integration capability. EagleView can display a dozen different types of information including base qualities, machine specific trace signals, and genome feature annotations. It provides an easy way for inspecting visually the quality of a genome assembly and validating polymorphism candidate sites (e.g., SNPs) reported by polymorphism discovery tools. It can also facilitate data interpretation and hypothesis generation. EagleView is a multi-platform application developed with C++ and is available for all three major platforms: Windows, Linux, and Mac OS.

Proper citation: EagleView (RRID:SCR_006859) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gasic/

A method to correct read alignment results for the ambiguities imposed by similarities of genomes.

Proper citation: GASiC (RRID:SCR_006765) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bigpre/

A quality assessment software package for next-genomics sequencing data.

Proper citation: BIGpre (RRID:SCR_006781) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.12/bioc/html/seqbias.html

Software package that implements a model of per-position sequencing bias in high-throughput sequencing data using a simple Bayesian network, the structure and parameters of which are trained on a set of aligned reads and a reference genome sequence.

Proper citation: seqbias (RRID:SCR_006832) Copy   

•   Source: SciCrunch Registry

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

Comprehensive differentially methylated regions (DMR) analysis based on bimodal normal distribution model and weighted cost function for regional methylation analysis optimization.

Proper citation: eDMR (RRID:SCR_006960) Copy   

•   Source: SciCrunch Registry

https://github.com/steinmann/peakzilla

An algorithm to identify transcription factor binding sites from ChIP-seq data.

Proper citation: Peakzilla (RRID:SCR_007471) Copy   

•   Source: SciCrunch Registry

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

A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal.

Proper citation: AmpliconNoise (RRID:SCR_007814) Copy   

•   Source: SciCrunch Registry

http://ngsview.sourceforge.net/

A generally applicable, flexible and extensible next-generation sequence alignment editor. The software allows for visualization and manipulation of millions of sequences simultaneously on a desktop computer, through a graphical interface.

Proper citation: NGSView (RRID:SCR_005637) Copy   

•   Source: SciCrunch Registry

http://zhanglab.c2b2.columbia.edu/index.php/OLego

A program specifically designed for de novo spliced mapping of mRNA-seq reads. It adopts a multiple-seed-and-extend scheme, and does not rely on a separate external mapper.

Proper citation: OLego (RRID:SCR_005811) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/pepr-chip-seq/

A ChIP-Seq peak calling or differential binding analysis tool that is primarily designed for data with biological replicates. It uses a negative binomial distribution to model the read counts among the samples in the same group, and look for consistent differences between ChIP and control group or two ChIP groups run under different conditions.

Proper citation: PePr (RRID:SCR_005759) Copy   

•   Source: SciCrunch Registry

http://www.bioinf.uni-freiburg.de/Software/GraphProt/

Software for modeling binding preferences of RNA-binding proteins from high-throughput experiments such as CLIP-seq and RNAcompete.

Proper citation: GraphProt (RRID:SCR_005842) Copy   

•   Source: SciCrunch Registry

http://www-math.u-strasbg.fr/genpred/spip.php?article3

R software package to study, predict and simulate the diffusion of a signal through a temporal gene network. It predicts changes in gene expressions after a biological perturbation in the network and provides graphical outputs that allow monitoring the spread of a signal through the network., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Cascade (RRID:SCR_005861) Copy   

•   Source: SciCrunch Registry

http://www.psb.ugent.be/cbd/papers/BiNGO/Home.html

The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional themes of the tested gene set on the GO hierarchy, and takes advantage of Cytoscape''''s versatile visualization environment to produce an intuitive and customizable visual representation of the results. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: BiNGO: A Biological Networks Gene Ontology tool (RRID:SCR_005736) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/h5vc.html

Software package that contains functions to interact with tally data from Next-Generation Sequencing (NGS) experiments that is stored in HDF5 files.

Proper citation: h5vc (RRID:SCR_006039) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/IRanges/

Software tool for computing and annotating genomic ranges.Provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially (formally defined as Vector objects), as well as views on these Vector objects. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent Vector API as much as possible.

Proper citation: IRanges (RRID:SCR_006420) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/scientific-community/science/projects/viral-genomics/vicuna

A de novo assembly program targeting populations with high mutation rates.

Proper citation: VICUNA (RRID:SCR_006302) Copy   

•   Source: SciCrunch Registry

https://github.com/ding-lab/msisensor

A C++ software program for automatically detecting somatic and germline variants at microsatellite regions. It computes length distributions of microsatellites per site in paired tumor and normal sequence data, subsequently using these to statistically compare observed distributions in both samples.

Proper citation: MSIsensor (RRID:SCR_006418) Copy   

•   Source: SciCrunch Registry