語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Hidden treasures in contemporary RNA...
~
Mangul, Serghei.
FindBook
Google Book
Amazon
博客來
Hidden treasures in contemporary RNA sequencing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Hidden treasures in contemporary RNA sequencing/ by Serghei Mangul ... [et al.].
其他作者:
Mangul, Serghei.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
v, 93 p. :ill. (some col.), digital ;24 cm.
內容註:
Abstract -- Main Text -- Acknowledgement -- Disclosure -- References.
Contained By:
Springer eBooks
標題:
Nucleotide sequence. -
電子資源:
https://doi.org/10.1007/978-3-030-13973-5
ISBN:
9783030139735
Hidden treasures in contemporary RNA sequencing
Hidden treasures in contemporary RNA sequencing
[electronic resource] /by Serghei Mangul ... [et al.]. - Cham :Springer International Publishing :2019. - v, 93 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
Abstract -- Main Text -- Acknowledgement -- Disclosure -- References.
Advances in RNA-sequencing (RNA-seq) technologies have provided an unprecedented opportunity to explore the gene expression landscape across individuals, tissues, and environments by efficiently profiling the RNA sequences present in the samples. When a reference genome sequence or a transcriptome of the sample is available, mapping-based RNA-seq analysis protocols align the RNA-seq reads to the reference sequences, identify novel transcripts, and quantify the abundance of expressed transcripts. The reads that fail to map to the human reference, known as unmapped reads, are a large and often overlooked output of standard RNA-seq analyses. Even in carefully executed experiments, the unmapped reads can comprise a considerable fraction of the complete set of reads produced, and can arise due to technical sequencing produced by low-quality and error-prone copies of the nascent RNA sequence being sampled. Reads can also remain unmapped due to unknown transcripts, recombined B and T cell receptor sequences, A-to-G mismatches from A-to-I RNA editing, trans-splicing, gene fusion, circular RNAs, and the presence of non-host RNA sequences (e.g. bacterial, fungal, and viral organisms) Unmapped reads represent a rich resource for the study of B and T cell receptor repertoires and the human microbiome system--)without incurring the expense of additional targeted sequencing. This book introduces and describes the Read Origin Protocol (ROP), a tool that identifies the origin of both mapped and unmapped reads. The protocol first identifies human reads using a standard high-throughput algorithm to map them onto a reference genome and transcriptome. After alignment, reads are grouped into genomic (e.g. CDS, UTRs, introns) and repetitive (e.g. SINEs, LINEs, LTRs) categories. The rest of the ROP protocol characterizes the remaining unmapped reads, which failed to map to the human reference sequences.
ISBN: 9783030139735
Standard No.: 10.1007/978-3-030-13973-5doiSubjects--Topical Terms:
587563
Nucleotide sequence.
LC Class. No.: QP625.N89
Dewey Class. No.: 572.8633
Hidden treasures in contemporary RNA sequencing
LDR
:03041nmm a2200349 a 4500
001
2179772
003
DE-He213
005
20190301083934.0
006
m d
007
cr nn 008maaau
008
191122s2019 gw s 0 eng d
020
$a
9783030139735
$q
(electronic bk.)
020
$a
9783030139728
$q
(paper)
024
7
$a
10.1007/978-3-030-13973-5
$2
doi
035
$a
978-3-030-13973-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QP625.N89
072
7
$a
PSA
$2
bicssc
072
7
$a
COM014000
$2
bisacsh
072
7
$a
PSA
$2
thema
072
7
$a
UB
$2
thema
082
0 4
$a
572.8633
$2
23
090
$a
QP625.N89
$b
H632 2019
245
0 0
$a
Hidden treasures in contemporary RNA sequencing
$h
[electronic resource] /
$c
by Serghei Mangul ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
v, 93 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in computer science,
$x
2191-5768
505
0
$a
Abstract -- Main Text -- Acknowledgement -- Disclosure -- References.
520
$a
Advances in RNA-sequencing (RNA-seq) technologies have provided an unprecedented opportunity to explore the gene expression landscape across individuals, tissues, and environments by efficiently profiling the RNA sequences present in the samples. When a reference genome sequence or a transcriptome of the sample is available, mapping-based RNA-seq analysis protocols align the RNA-seq reads to the reference sequences, identify novel transcripts, and quantify the abundance of expressed transcripts. The reads that fail to map to the human reference, known as unmapped reads, are a large and often overlooked output of standard RNA-seq analyses. Even in carefully executed experiments, the unmapped reads can comprise a considerable fraction of the complete set of reads produced, and can arise due to technical sequencing produced by low-quality and error-prone copies of the nascent RNA sequence being sampled. Reads can also remain unmapped due to unknown transcripts, recombined B and T cell receptor sequences, A-to-G mismatches from A-to-I RNA editing, trans-splicing, gene fusion, circular RNAs, and the presence of non-host RNA sequences (e.g. bacterial, fungal, and viral organisms) Unmapped reads represent a rich resource for the study of B and T cell receptor repertoires and the human microbiome system--)without incurring the expense of additional targeted sequencing. This book introduces and describes the Read Origin Protocol (ROP), a tool that identifies the origin of both mapped and unmapped reads. The protocol first identifies human reads using a standard high-throughput algorithm to map them onto a reference genome and transcriptome. After alignment, reads are grouped into genomic (e.g. CDS, UTRs, introns) and repetitive (e.g. SINEs, LINEs, LTRs) categories. The rest of the ROP protocol characterizes the remaining unmapped reads, which failed to map to the human reference sequences.
650
0
$a
Nucleotide sequence.
$3
587563
650
0
$a
RNA.
$3
569546
650
1 4
$a
Computational Biology/Bioinformatics.
$3
898313
650
2 4
$a
Bioinformatics.
$3
553671
650
2 4
$a
Genetics and Genomics.
$3
3385208
700
1
$a
Mangul, Serghei.
$3
3385207
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in computer science.
$3
1567571
856
4 0
$u
https://doi.org/10.1007/978-3-030-13973-5
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9369620
電子資源
11.線上閱覽_V
電子書
EB QP625.N89
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入