Search Results for "seq"
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Showing 91 open source projects for "seq"
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awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. ... -
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kallisto
Near-optimal RNA-Seq quantification
kallisto is a program for near-optimal quantification of transcript abundances from RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads. It is based on the idea of using pseudoalignment to quickly determine reads and targets’ compatibility, with no need for alignment. According to benchmarks done on a Mac desktop computer, kallisto can quantify 30 million human bulk RNA-seq reads in less than 3 minutes with just the read sequences and a transcriptome index, that in itself can take more than 10 minutes to build. ... -
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FastQC
A quality control analysis tool for high throughput sequencing data
...This should then direct you to where your data may have problems and allow you to take necessary steps to correct it before doing any further analysis. FastQC is not tied to any specific type of sequencing technique, so it can be used to look at libraries of various experiment types (Genomic Sequencing, ChIP-Seq, RNA-Seq, BS-Seq etc etc). -
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Seurat
R toolkit for single cell genomics
Seurat is a comprehensive R toolkit for single-cell genomics analysis, introduced by the Satija Lab at NYGC. It supports quality control, normalization, clustering, integration of multimodal data (e.g., scRNA‑seq, spatial, CITE‑seq), and visualization. Seurat v5 introduces scalable workflows and spatial transcriptomics support, commonly used in academic and industry research for single-cell studies. -
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Bowtie 2
A fast and sensitive gapped read aligner
...Bowtie 2 outputs alignments in SAM format and includes companion utilities for building and inspecting indexes. It is widely used in bioinformatics pipelines for RNA-seq, DNA-seq, metagenomics, variant analysis, and other sequencing-based research tasks. Overall, Bowtie 2 remains a foundational command-line tool for high-throughput sequence alignment and reproducible computational biology workflows. -
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Subread
High-performance read alignment, quantification and mutation discovery
The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program. Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments. Subread and Subjunc were published in the following paper: Yang Liao, Gordon K Smyth and Wei Shi. "The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote", Nucleic Acids Research, 2013, 41(10):e108 -
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CTK
CLIP Tool Kit (CTK)
CTK (CLIP Tool Kit) is a computational biology toolkit implemented in Perl, designed for analyzing CLIP sequencing data. It offers a streamlined pipeline from raw reads through peak calling and motif discovery. -
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CPAT
RNA coding potential assessment tool
Using RNA-seq, tens of thousands of novel transcripts and isoforms have been identified (Djebali, et al Nature, 2012 , Carbili et al, Gene & Development, 2011) The discovery of these hidden transcriptome rejuvenate the need of distinguishing coding and noncoding RNA. However, Most previous coding potential prediction methods heavily rely on alignment, either pairwise alignment to search for protein evidence or multiple alignments to calculate phylogenetic conservation score (such as CPC , PhyloCSF and RNACode ). ... -
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OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments). -
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Fusion Detection Pipeline
Fusion gene detection pipeline bundled into a Singularity container.
Fusion gene detection by RNA-seq requires prior setup of several software modules and dependencies which might be troublesome. Furthermore, fusion detection tools tend to report many false positives. Therefore, we developed a detection and filtering workflow bundled into a Singularity container for a streamlined and easy-to-use application. Arriba and FusionCatcher are utilized for fusion calling. -
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CStone
Short-read de novo assembler that identifies chimeric contigs.
> CStone wiki: https://sourceforge.net/p/cstone/wiki/Home/ Related Software: 1. CStone: (See wiki) 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: https://sourceforge.net/projects/tvscript/ 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/ -
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FusionCatcher
Somatic fusion-genes finder for RNA-seq data
FusionCatcher searches for novel/known somatic fusion genes, translocations, and chimeras in RNA-seq data (paired-end reads from Illumina NGS platforms like Solexa and HiSeq) from diseased samples. The aims of FusionCatcher are: - very good detection rate for finding candidate fusion genes, - very easy to use (i.e. no a priori knowledge of databases and bioinformatics is needed in order to run FusionCatcher), - very good detection of challenging fusion genes, like for example IGH fusions, CIC fusions, DUX4 fusions, CRLF2 fusions, TCF3 fusions, etc... -
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...MATS handles replicate RNA-Seq data from both paired and unpaired study design. More information can be found at http://rnaseq-mats.sourceforge.net.
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COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download -
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epidaurus
tumor epigenetic database
Epidaurus is a collection of epigenetic datasets including transcription factor ChIP-seq, histone ChIP-seq, DNase-seq, FAIRE-seq, DNA methylation, etc. It also includes commonly used genome features (GC content, conservation) and RNA-seq. A user friendly interface has been developed to interrogate and visuzlize these datasets. -
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HyLiTE
Hybrid Lineage Transcriptome Explorer
...Allopolyploid species carry multiple copies of each gene (homeologs), which often exhibit unusual expression patterns. Homeolog expression levels can technically be determined from next generation sequencing data (RNA-seq), but in practice, assigning reads to one homeolog over another is extremely challenging, particularly on a whole-genome scale. HyLiTE automates this process, and allows gene expression patterns to be explored even in very complex allopolyploid species. -
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WellMeth
Genome-Wide DNA Methylation Analysis with RRBS
WellMeth is a integrated framework for Reduced Representation Bisulfite-Seq analysis -
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The ChIP-Seq software provides methods for the analysis of ChIP-seq data and other types of mass genome annotation data. The most common analysis tasks include positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-depleted regions.
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HSRA
Hadoop spliced read aligner for RNA-seq data
HSRA is a MapReduce-based parallel tool for mapping reads from RNA sequencing (RNA-seq) experiments. RNA-seq analyses typically begin by mapping reads to a reference genome in order to determine the location from which the reads were originated, which is a very time-consuming step. This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. ... -
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rMATS-ISO
rMATS-Iso is a generalization of rMATS for complex splicing patterns.
rMATS-Iso is a generalization of the rMATS statistical framework, to detect differential splicing modules with complex splicing patterns using replicate RNA-seq data. -
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bspipe
An End-to-End Analysis Pipeline for BS-seq
BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq. -
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CSBB-v3.0
CSBB - Computational Suite for Bioinformaticians and Biologists
CSBB is a command line-based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R, java, python and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux,... -
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CSBB-v2.1 [CSBB-v3.0 is now available]
Computational Suite For Bioinformaticians and Biologists
...CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 17 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc. -
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Genobuntu
Genobuntu Package for Next Generation Sequencing
Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools. Commonly used biological software and example script files for different assembly pipelines have also been provided, where the example script files can be updated to suit one’s experimental needs. Genobuntu attempts to reduce the amount of time and energy needed to build ... -
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PPLine
SNP calling, annotation and gene/transcripts expression quantification
PPLine is a Python-based suite aimed to process raw RNA-seq or Exome-seq data. PPLine provides: - read mapping (STAR/Tophat2/bowtie/bowtie2), including novel splice junsctions discovery - gene and transcript expression estimation (HTSeq-count/Cufflinks) - SNP calling with BQSR and indel realignment (samtools/GATK) - variant annotation (Annovar) - novel transcripts discovery (Cufflinks) - predicting proteotypic peptides and creating ref/alt proteins fasta-database - integration of the results
