現世代シーケンサー雑感 | kahoの日記 | スラド
後でもう少しまとめるつもりだが、覚え書き程度に。 2010年になって、第３世代と言われるシーケンサー（DNA解読機）の動向にも以前よりいろいろと変化がある。 現在の状況を簡単に言えばチャンピオンであるIlluminaに対してABが巻き返しを図り、Helicosが局地戦を仕掛けていると言えるだろうか。 Illuminaは最新のHiSeq2000でGenome Analyzerで築いた基盤をより強化している。余談だが成功したシリーズの名前を受け継いでGA IIIといった名称にしなかったのは、この分野が単なるゲノム解読にとどまらずに様々な応用分野を持つようになったためだと思われる。 これに対してApplied BiosystemsはSOLiD 4の導入でこれに対抗しようとしている。特にABが強調するのが解読した配列の精度が高いということで、疾患解析など精度が要求される分野での優位性を強調すること
Next-generation sequencing data analysis
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
FASTQ Format
FASTQ Format Specification Introduction FASTQ format stores sequences and Phred qualities in a single file. It is concise and compact. FASTQ is first widely used in the Sanger Institute and therefore we usually take the Sanger specification and the standard FASTQ format, or simply FASTQ format. Although Solexa/Illumina read file looks pretty much like FASTQ, they are different in that the qualitie
Sequence Read Format (SRF)
SRF is a generic format for DNA sequence data. The primary motivation for creating SRF has been to enable a single format capable of storing data generated by any DNA sequencing technology. Hence, the format has sufficient flexibility to store data from current and future DNA sequencing technologies at minimal cost of implementation. Benefits include a single input file format for all downstream a
FASTQ format - Wikipedia
FASTQ format is a text-based format for storing both a biological sequence (usually nucleotide sequence) and its corresponding quality scores. Both the sequence letter and quality score are each encoded with a single ASCII character for brevity. It was originally developed at the Wellcome Trust Sanger Institute to bundle a FASTA formatted sequence and its quality data, but has recently become the
Bio::DB::Sam
NAME Bio::DB::Sam -- Read SAM/BAM database files SYNOPSIS use Bio::DB::Sam; # high level API my $sam = Bio::DB::Sam->new(-bam =>"data/ex1.bam", -fasta=>"data/ex1.fa", ); my @targets = $sam->seq_ids; my @alignments = $sam->get_features_by_location(-seq_id => 'seq2', -start => 500, -end => 800); for my $a (@alignments) { # where does the alignment start in the reference sequence my $seqid = $a->seq_
Complete Genomics: Driving Genomics Forward Today
Expand your insights in every direction Our unrivaled, all-encompassing solutions will help you break open new pathways and new opportunities. Discover how a complete spectrum of product innovations from sample extraction through sequencing and analysis can change the way you research. Kits and Reagents No matter your workflow, our kits are simple to use and easily integrated. We also offer conver
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
https://maq.sourceforge.net/maqmap_format.shtml
แทงบอลUFABET เว็บแทงบอลฟรีเครดิต แทงบอลเว็บตรง
Nextgen in Bioperl - BioPerl
Next-Generation Sequencing Data - EMBOSS
ENA Browser
SRA Archive: NCBI
Science | AAAS