Resources for NGS

2010-03-26 11:02 · ljxue

Important bioinformatics tools for analysis of NGS data A forum for next generation sequencing, almost everything about NGS are included

Important bioinformatics tools for analysis of NGS data

 A forum for next generation sequencing, almost everything about NGS are included.

SEQanswers

https://seqanswers.com/

Useful tools in NGS are listed here:

https://seqanswers.com/wiki/Software/list

Some  tools are summarized in this paper:

Next-generation sequencing technologies and their implications for crop genetics and breeding

Trends in Biotechnology

Volume 27, Issue 9, September 2009, Pages 522-530

Bowtie and MAQ are my favorites, as the former is "ultra fast", The later includes most functions.

SOAP was writtern by BGI.

Alignment, assembly and visualization tools

Velvet (https://www.ebi.ac.uk/~zerbino/velvet/): tool for de novo

assembly of short and paired reads [70].

EULER (https://euler-assembler.ucsd.edu/portal/): tool to generate

short-read assembly and facilitate assembly of combined reads of

NGS and Sanger sequencing [71].

GMAP (https://www.gene.com/share/gmap/): program to map and

align cDNA sequences to genome sequence using minimal time and

memory, facilitates batch processing [72].

MOSAIK (https://bioinformatics.bc.edu/marthlab/Mosaik): tool for

pairwise alignment of NGS data to reference sequences.

RMAP (https://rulai.cshl.edu/rmap/): tool to align short reads to a

reference genome [30].

SHARCGS (https://sharcgs.molgen.mpg.de/): tool for de novo assembly

of short reads [73].

SOAP (https://soap.genomics.org.cn/): program for gapped and

ungapped alignment of short reads to reference sequences, facilitates

single or pair-end resequencing, smRNA discovery and mRNA tag

sequence mapping [74].

VCAKE (https://sourceforge.net/projects/vcake): tool for de novo

assembly of short reads with robust error detection [75].

Zoom (https://www.bioinformaticssolutions.com/products/zoom/index.

php): tool to map millions of short reads to reference genomes

and carry out post-analysis [76].

EagleView (https://bioinformatics.bc.edu/marthlab/EagleView): display

tool for visually inspecting the quality of genome assembly and

validating polymorphism candidate sites [77].

JMP1 Genomics (https://www.jmp.com/software/genomics/): tool

for NGS data visualization and statistical analysis from SAS.

 

 

Sequence variant discovery tools

SNPsniffer (https://bioinformatics.bc.edu/marthlab/Polymorphism_

Discovery_in_Next-Generation_Sequence_Data): tool for SNP discovery

specifically designed for Roche/454 sequences.

Atlas-SNP (https://code.google.com/p/atlas-snp/): tool for SNP and

indel discovery from genome resequencing using NGS technologies

[78].

SeqMap (https://biogibbs.stanford.edu/~jiangh/SeqMap/): tool to

map short sequences to a reference genome and detect multiple

substitutions and indels [79].

ssahaSNP (https://www.sanger.ac.uk/Software/analysis/ssahaSNP/):

tool to detect homozygous SNPs and indels.

 

 

Integrated tools

AlpheusTM (https://alpheus.ncgr.org/): web-based cyber infrastructure

platform for pipelining, visualization and analysis of gigabase-scale

NGS data and internet-accessible software for variant discovery and

isoform identification [31].

MAQ (https://maq.sourceforge.net/): program for mapping and

assembly of short reads. It can also report SNPs and indels using a

simple assembly visualizer (Maqview) [80].

NextGENeTM (https://www.softgenetics.com/NextGENe.html): software

to analyze NGS data for de novo assembly, SNP and indel

detection and transcriptome analysis.

SeqMan genome analyzer (https://www.dnastar.com/products/SMGA.php)

 

: software with capacity to align NGS and Sanger data

and detect SNPs; also facilitates visualization.

CLCbio Genomics Workbench (https://www.clcbio.com): tool for de

novo and reference assembly of Sanger and NGS sequence data, SNP

detection and browsing.

PanGEA (https://www.kofler.or.at/Bioinformatics/PanGEA/index.html):

 

 tool to map NGS data to whole genomes, with SNP

detection and display capabilities [81].

Review Trends in Biotechnology Vol.27 No.9

524

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