Dataset Open Access
Training material for RNA sequencing
Grüning, Björn; Erxleben, Anika; Houwaart, Torsten; Batut, Bérénice
RNA-seq (RNA sequencing) uses high-throughput (HTS) data to reveal the presence and quantity of RNA in a biological sample at a given moment in time.
RNA-Seq is used to analyze the continually changing cellular transcriptome. Specifically, RNA-Seq facilitates the ability to look at alternative gene spliced transcripts, post-transcriptional modifications, gene fusion, mutations/SNPs and changes in gene expression.[4] In addition to mRNA transcripts, RNA-Seq can look at different populations of RNA to include total RNA, small RNA, such as miRNA, tRNA, and ribosomal profiling.
Files
(397.3 MB)
| Name | Size | |
|---|---|---|
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dexseq.gtf
md5:51df689fc40c62fe062f6338f1e1c0f6 |
61.7 kB | Download |
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Drosophila_melanogaster.BDGP5.78.gtf
md5:e07b8dcbd4f4f7602feeba0d5ed1698e |
160.8 MB | Download |
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GSM461176_untreat_single.counts
md5:7e61f6ec038c20a772517426e6aedbf5 |
220.0 kB | Download |
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GSM461176_untreat_single_subset.fastq
md5:bba714969365c904694aa9d7c1199ffa |
21.8 MB | Download |
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GSM461177_untreat_paired.counts
md5:c2c45119a81e521aadb095d736734795 |
223.4 kB | Download |
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GSM461177_untreat_paired_chr4.bam
md5:2ebb239b2c5e6b69cdc58c71d9687f83 |
2.3 MB | Download |
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GSM461177_untreat_paired_deletions_chr4.bed
md5:a0397a240902b59a5ed2a2f099f9f169 |
1.5 kB | Download |
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GSM461177_untreat_paired_insertions_chr4.bed
md5:28f7101716c48da1fdf73fe417cd1f02 |
1.5 kB | Download |
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GSM461177_untreat_paired_junctions_chr4.bed
md5:a41ed3d89d724641ac3725186c4cbc64 |
16.3 kB | Download |
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GSM461177_untreat_paired_subset_1.fastq
md5:4761559d7346f8f50b54e45baf1f5d77 |
20.0 MB | Download |
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GSM461177_untreat_paired_subset_2.fastq
md5:80703dfef7466f02e00bbfac290c63f9 |
20.0 MB | Download |
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GSM461178_untreat_paired.counts
md5:54a847d894b81f807fee1df41abc2400 |
223.7 kB | Download |
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GSM461178_untreat_paired_chr4.bam
md5:443034086a5b6d725b33236c7eb213af |
2.5 MB | Download |
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GSM461178_untreat_paired_subset_1.fastq
md5:4a23f53bd2225612bed341c57e1e509c |
20.2 MB | Download |
|
GSM461178_untreat_paired_subset_2.fastq
md5:48734f3ec8934f5f5d896828564171e0 |
20.2 MB | Download |
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GSM461179_treat_single.counts
md5:738424537044299afe4b880e599653c7 |
220.4 kB | Download |
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GSM461179_treat_single_subset.fastq
md5:17c8dcb4d90eb44a0be3a6f98715db6c |
21.8 MB | Download |
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GSM461180_treat_paired.counts
md5:5b9a37f0a4290bb059c588a064f638bd |
223.2 kB | Download |
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GSM461180_treat_paired_subset_1.fastq
md5:7722fb0de33678523d3a5a2881282780 |
20.2 MB | Download |
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GSM461180_treat_paired_subset_2.fastq
md5:7405c4a0c53f327afd37aa8cfdecd1b2 |
20.2 MB | Download |
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GSM461181_treat_paired.counts
md5:c084109958f4564db6dd41504c2ed61b |
224.1 kB | Download |
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GSM461181_treat_paired_subset_1.fastq
md5:d30e9acfddc84972d9839ca40d986b48 |
20.2 MB | Download |
|
GSM461181_treat_paired_subset_2.fastq
md5:b80b68ae42896ee4f5827861ebb7c8cf |
20.2 MB | Download |
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GSM461182_untreat_single.counts
md5:a4e56b63de0c6b336b31cb2e028a552f |
220.6 kB | Download |
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GSM461182_untreat_single_subset.fastq
md5:5fe0b62ceb9110461bdf074b24f1f346 |
25.4 MB | Download |
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treated1_single.txt
md5:a37180010244cbae81c7714b2e7518eb |
5.7 kB | Download |
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treated2_paired.txt
md5:c732d339dd80bbc43ac8fdc66b754863 |
5.7 kB | Download |
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treated3_paired.txt
md5:06ec93dfc4f11a8bc3d391f0e4e7dd95 |
5.7 kB | Download |
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untreated1_single.txt
md5:1b48aec9197fae9a3f82f4d4512b805c |
5.7 kB | Download |
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untreated2_single.txt
md5:f00be8388c6d7890ce0d7c88ef90a932 |
5.7 kB | Download |
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untreated3_paired.txt
md5:d31822f4b3683151f736e6937e1b236b |
5.7 kB | Download |
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untreated4_paired.txt
md5:58c9fc52d011634f2495afccd08bbee1 |
5.7 kB | Download |
19,695
21,844
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 19,695 | 19,719 |
| Downloads | 21,844 | 21,844 |
| Data volume | 454.8 GB | 454.8 GB |
| Unique views | 16,541 | 16,561 |
| Unique downloads | 11,908 | 11,908 |
Indexed in
- Publication date:
- September 8, 2016
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International