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http://www.bsse.ethz.ch/cbg/software/shorah

A software package that allows for inference about the structure of a population from a set of short sequence reads as obtained from ultra-deep sequencing of a mixed sample. The package contains programs that support mapping of reads to a reference genome, correcting sequencing errors by locally clustering reads in small windows of the alignment, reconstructing a minimal set of global haplotypes that explain the reads, and estimating the frequencies of the inferred haplotypes.

Proper citation: ShoRAH (RRID:SCR_005211) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/scientific-community/science/projects/viral-genomics/v-phaser-2

A software tool to call variants in genetically heterogeneous populations from ultra-deep sequence data. It combines information regarding the covariation (i.e. phasing) between observed variants to increase sensitivity and an expectation maximization algorithm that iteratively recalibrates base quality scores to increase specificity. V-Phaser can reliably detect rare variants in diverse populations that occur at frequencies of <1%. V-Phaser 2 is a complete rewrite of the original V-Phaser. It contains a new model for length polymorphisms (indels) and incorporates paired end read information in its phasing model. The data access and probability computation sections of the code have also been highly optimized, resulting in substantial improvements in running time and memory usage.

Proper citation: V-Phaser 2 (RRID:SCR_005212) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/nsmapforrnaseq/

Software designed to identify and quantify isoforms from RNA-seq by incorporating a sparsity term into expression level estimation to enable isoform structure prediction and expression estimation simultaneously.

Proper citation: NSMAP (RRID:SCR_005213) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cova/

A variant annotation and comparison tool for next-generation sequencing. It annotates the effects of variants on genes and compares those among multiple samples, which helps to pinpoint causal variation(s) relating to phenotype.

Proper citation: COVA (RRID:SCR_005175) Copy   

•   Source: SciCrunch Registry

http://bmda.cs.unibas.ch/HivHaploTyper/

Software for reconstructing haplotypes from next-generation sequencing data.

Proper citation: PredictHaplo (RRID:SCR_005207) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/qure/

A software program for viral quasispecies reconstruction, specifically developed to analyze long read (>100 bp) next-generation sequencing (NGS) data. The software performs alignments of sequence fragments against a reference genome, finds an optimal division of the genome into sliding windows based on coverage and diversity and attempts to reconstruct all the individual sequences of the viral quasispecies--along with their prevalence--using a heuristic algorithm, which matches multinomial distributions of distinct viral variants overlapping across the genome division. QuRe comes with a built-in Poisson error correction method and a post-reconstruction probabilistic clustering, both parameterized on given error rates in homopolymeric and non-homopolymeric regions.

Proper citation: QuRe (RRID:SCR_005209) Copy   

•   Source: SciCrunch Registry

http://bioinfo.mc.vanderbilt.edu/VirusFinder/

Software tool for efficient and accurate detection of viruses and their integration sites in host genomes through next generation sequencing data. Specifically, it detects virus infection, co-infection with multiple viruses, virus integration sites in host genomes, as well as mutations in the virus genomes. It also facilitates virus discovery by reporting novel contigs, long sequences assembled from short reads that map neither to the host genome nor to the genomes of known viruses. VirusFinder 2 works with both paired-end and single-end data, unlike the previous 1.x versions that accepted only paired-end reads. The types of NGS data that VirusFinder 2 can deal with include whole genome sequencing (WGS), whole transcriptome sequencing (RNA-Seq), targeted sequencing data such as whole exome sequencing (WES) and ultra-deep amplicon sequencing.

Proper citation: VirusFinder (RRID:SCR_005205) Copy   

•   Source: SciCrunch Registry

http://rnaexpress.org/

Software designed as a user friendly solution to extract and annotate biologically important transcripts from next generation RNA sequencing data.

Proper citation: RNA-eXpress (RRID:SCR_005167) Copy   

•   Source: SciCrunch Registry

http://scienceblogs.com/channel/jobs/?utm_source=globalChannel&utm_medium=link

ScienceBlogs posts about Jobs.

Proper citation: ScienceBlogs: Jobs (RRID:SCR_005200) Copy   

•   Source: SciCrunch Registry

http://polygenic.jobamatic.com/a/jobs/find-jobs

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Featured Job Postings from the Web. Polygenic Pathways Jobs Job Site includes the latest jobs from polygenic.jobamatic.com. Post a job - only $5 for 100 days.

Proper citation: Polygenic Pathways Jobs (RRID:SCR_005237) Copy   

•   Source: SciCrunch Registry

http://www.kavlifoundation.org/

The Kavli Foundation, based in Oxnard, California, is dedicated to advancing science for the benefit of humanity, promoting public understanding of scientific research, and supporting scientists and their work. The Foundation''s mission is implemented through an international program of research institutes, professorships, symposia and other initiatives in the fields of astrophysics, nanoscience, neuroscience and theoretical physics. The Foundation is also a founding partner of the Kavli Prizes, which recognize scientists for their seminal advances in astrophysics, nanoscience and neuroscience. To date, The Kavli Foundation has made grants to establish Kavli Institutes on the campuses of the University of California Santa Barbara, Stanford University, the California Institute of Technology, the University of Chicago, Columbia University, Yale University, Cornell University, the University of California San Diego, Delft University of Technology in the Netherlands, the Massachusetts Institute of Technology, Peking University, the Chinese Academy of Sciences, Harvard University, the University of Cambridge and the Norwegian University of Science and Technology. In addition to the Kavli Institutes, six Kavli professorships have been established: two at the University of California Santa Barbara, one at University of California Los Angeles, one at the University of California Irvine, one at Columbia University, and one at the California Institute of Technology. The Kavli Futures Symposia a series of high quality scientific symposia on topics of emerging importance in the fields of astrophysics, nanoscience and neuroscience. The Frontiers of Science symposia bring together some of the very best young scientists across many disciplines to share and discuss exciting advances and opportunities in their fields. Videos and feature pieces have been created for teachers and students. This includes video interviews with acclaimed researchers Eric Kandel, M.D. and Edvard and May-Britt Moser, a video introduction and panel discussion on neuroscience, feature stories, written science overview, institute profiles and other materials. The Kavli Foundation is a private foundation qualified under IRC Section 501 (c) (3).

Proper citation: Kavli Foundation (RRID:SCR_005113) Copy   

•   Source: SciCrunch Registry

http://www.laskerfoundation.org/index.htm

The Albert and Mary Lasker Foundation and its programs are dedicated to the support of biomedical research toward conquering disease, improving human health and extending life. The Foundation''s mission is to foster the prevention and treatment of disease and disabilities by honoring excellence in basic and clinical science, by educating the public, and by advocating for support of medical research. The Lasker Awards The Lasker Foundation''s Awards Program recognizes the contributions of scientists, physicians, and public servants who have made major advances in the understanding, diagnosis, treatment, cure or prevention of human disease. Other Programs Although the Lasker Foundation is not a grant-giving organization, it does support select initiatives that raise awareness of medical discoveries and their benefits to human health, and that increase support for the medical science enterprise. These initiatives have included study groups, Congressional briefings, innovative web-based programs, educational forums, and scholarly studies.

Proper citation: Lasker Foundation (RRID:SCR_005114) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.wistar.upenn.edu/isoformex

Software that estimates transcript expression levels and gene expression levels from mRNA-Seq data. Technically speaking, IsoformEx parses bowtie alignment files in a project directory (e.g. ~yourid/isoformex/xxx, where xxx is the project name) and generates two files: (1) xxx/xxx_transcript_1.txt: expression levels of all transcripts, (2) xxx/xxx_gene_1.txt: expression levels of all genes.

Proper citation: IsoformEx (RRID:SCR_005235) Copy   

•   Source: SciCrunch Registry

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

RNA-seq tool that uses the Dirichlet distribution and a transformation to identify genes that exhibit small within-condition and large between-condition variance.

Proper citation: aldex (RRID:SCR_005110) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/absolute

Software to estimate purity / ploidy, and from that compute absolute copy-number and mutation multiplicities. When DNA is extracted from an admixed population of cancer and normal cells, the information on absolute copy number per cancer cell is lost in the mixing. The purpose of ABSOLUTE is to re-extract these data from the mixed DNA population. This process begins by generation of segmented copy number data, which is input to the ABSOLUTE algorithm together with pre-computed models of recurrent cancer karyotypes and, optionally, allelic fraction values for somatic point mutations. The output of ABSOLUTE then provides re-extracted information on the absolute cellular copy number of local DNA segments and, for point mutations, the number of mutated alleles.

Proper citation: ABSOLUTE (RRID:SCR_005198) Copy   

•   Source: SciCrunch Registry

http://www.qcmg.org/bioinformatics/tiki-index.php

A single nucleotide variant caller optimised for identifying somatic variants in low cellularity cancer samples.

Proper citation: qSNP (RRID:SCR_005105) Copy   

•   Source: SciCrunch Registry

http://www.damonrunyon.org/

The Damon Runyon Cancer Research Foundation funds early career cancer researchers who have the energy, drive and creativity to become leading innovators in their fields. We identify the best young scientists in the nation and support them through four award programs: our Fellowship, Pediatric Cancer Fellowship, Clinical Investigator and Innovation Awards. Damon Runyon awards give young scientists: * Freedom to follow their own ideas, explore new paths and take risks * A prestigious endorsement that attracts further funding, advances their careers and accelerates their research * Guaranteed financial support, sparing them hours applying for grants Since 1946, Damon Runyon has invested more than $240 million in the best young minds in the nation. Our alumni include 11 Nobel Laureates and leaders of major cancer centers across the United States. Many of our 3,300 scientists have gone on to make breakthroughs in the way we prevent, diagnose and treat many forms of cancer. The Damon Runyon Cancer Research Foundation is a registered nonprofit with 501(c)(3) status.

Proper citation: Damon Runyon Cancer Research Foundation (RRID:SCR_005106) Copy   

•   Source: SciCrunch Registry

http://samtools.sourceforge.net/mpileup.shtml

Provide various utilities for manipulating alignments in the SAM format, including sorting, merging, indexing and generating alignments in a per-position format.

Proper citation: SAMtools/BCFtools (RRID:SCR_005227) Copy   

•   Source: SciCrunch Registry

http://www.raetschlab.org/suppl/mitie

Software framework for simultaneous RNA-Seq-based Transcript Identification and Quantification in Multiple Samples. They define a likelihood function based on the negative binomial distribution, use a regularization approach to select a few transcripts collectively explaining the observed read data, and show how to find the optimal solution using Mixed Integer Programming. MiTie can a) take advantage of known transcripts, b) reconstruct and quantify transcripts simultaneously in multiple samples, as well as c) resolve the location of multi-mapping reads. It is designed for genome- and assembly-based transcriptome reconstruction.

Proper citation: MiTie (RRID:SCR_005228) Copy   

•   Source: SciCrunch Registry

http://orman.sourceforge.net/Home

A software tool for resolving multi-mappings within an RNA-Seq SAM file.

Proper citation: ORMAN (RRID:SCR_005188) Copy   

•   Source: SciCrunch Registry