So I have reads I have aligned to the mouse mm10 genome using Bowtie 2. I created a .bam from the .sam file, which I then used to make a sorted.bam and an indexed.bam.bai. I loaded the sorted.bam and indexed.bam.bai into tablet, and it's showing there are reads but nothing shows up on my viewer.
Unconfigured Ad
Collapse
X
-
Are you loading a reference fasta along with the SAM/bam file? Tablet has options to load both.
Didn't realize you could load the bai instead of the original fasta.
Edit: Converted a SAM+FASTA I had on hand to sorted.bam/bai and sorted.bam/fasta...appears to work fine.
Newest version of tablet? Can you run samtools flagstat on the bam file?
Edit 2: Did you directly sequence mouse? If mouse is supposed to be low abundance, BAM files also load as chunks, so it's possible you may be visualizing a chunk of reference that is simply low abundance.Last edited by winsettz; 10-18-2013, 08:50 AM.
-
-
So I was able to find reads after all; however, there was no annotation other than chromosome location. So I gave up on Tablet. Basically, I'm just trying to figure out my reads from RNAseq, so I've moved onto cufflinks. Hopefully, this works.Originally posted by winsettz View PostAre you loading a reference fasta along with the SAM/bam file? Tablet has options to load both.
Didn't realize you could load the bai instead of the original fasta.
Edit: Converted a SAM+FASTA I had on hand to sorted.bam/bai and sorted.bam/fasta...appears to work fine.
Newest version of tablet? Can you run samtools flagstat on the bam file?
Edit 2: Did you directly sequence mouse? If mouse is supposed to be low abundance, BAM files also load as chunks, so it's possible you may be visualizing a chunk of reference that is simply low abundance.
Comment
-
-
Basically I performed RNA sequencing with ~30mers using MiSeq. Now I just want to determine what genes are being transcribed. So aligned my reads to the mouse mm10 genome using bowtie 2. This outputs a Sam file so I converted to a sorted bam using samtools. All I want to do is see a list of transcripts so now I'm tryin cufflinks
Comment
-
-
As I had told you yesterday in a different thread the annotation will come from the gff/gtf file that I had linked. You need to have your bam file open along with the gff file in IGB/tablet/IGV in order to see the gene annotations.Originally posted by KnowNothing2 View PostSo I was able to find reads after all; however, there was no annotation other than chromosome location. So I gave up on Tablet. Basically, I'm just trying to figure out my reads from RNAseq, so I've moved onto cufflinks. Hopefully, this works.
Working with NGS data is not simple (as you have discovered by now). You can't give up and keep hopping on to the next program. Nothing may work if you keep doing that. Stick with one program and then we can help you out.
Comment
-
-
Not easy, indeed.Originally posted by GenoMax View PostAs I had told you yesterday in a different thread the annotation will come from the gff/gtf file that I had linked. You need to have your bam file open along with the gff file in IGB/tablet/IGV in order to see the gene annotations.
Working with NGS data is not simple (as you have discovered by now). You can't give up and keep hopping on to the next program. Nothing may work if you keep doing that. Stick with one program and then we can help you out.
The reason I switched to a new program is because I indexed my bam file this morning and used that as the consensus file in Tablet. Maybe I'm not using Tablet correctly, but I scan down the chromosome and see my reads but no annotations. I even tried this using the gtf file you linked (see attached image)Attached Files
Comment
-
-
It appears that Tablet can only take GFF3 format annotation files. So here is a link for mm10 annotation in GFF3 format: http://genes.mit.edu/burgelab/miso/a...0/ensGene.gff3 Download and save locally.Originally posted by KnowNothing2 View PostNot easy, indeed.
The reason I switched to a new program is because I indexed my bam file this morning and used that as the consensus file in Tablet. Maybe I'm not using Tablet correctly, but I scan down the chromosome and see my reads but no annotations. I even tried this using the gtf file you linked (see attached image)
Once you load your SAM/BAM file (along with your reference) in tablet, use the "import features" button (next to "open assembly") to point to this gff3 file. You should be able then jump to the features once they are imported in.
Keep in mind that you are only "viewing" the alignments. Expression analysis (differential?) will come next.
Comment
-
-
Awesome, thanks. So I now see if my reads represent an exon, which is very useful. Now to find out which gene that is, do I need to just manual search them?Originally posted by GenoMax View PostIt appears that Tablet can only take GFF3 format annotation files. So here is a link for mm10 annotation in GFF3 format: http://genes.mit.edu/burgelab/miso/a...0/ensGene.gff3 Download and save locally.
Once you load your SAM/BAM file (along with your reference) in tablet, use the "import features" button (next to "open assembly") to point to this gff3 file. You should be able then jump to the features once they are imported in.
Keep in mind that you are only "viewing" the alignments. Expression analysis (differential?) will come next.
Also, how did you find the GFF3 file? I googled it and but had no such luck finding it.Attached Files
Comment
-
Latest Articles
Collapse
-
by SEQadmin2
Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...-
Channel: Articles
06-02-2026, 10:05 AM -
-
by SEQadmin2
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...-
Channel: Articles
05-22-2026, 06:42 AM -
-
by SEQadmin2
Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.
Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...-
Channel: Articles
05-06-2026, 09:04 AM -
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, Today, 08:59 AM
|
0 responses
8 views
0 reactions
|
Last Post
by SEQadmin2
Today, 08:59 AM
|
||
|
Started by SEQadmin2, 06-02-2026, 12:03 PM
|
0 responses
21 views
0 reactions
|
Last Post
by SEQadmin2
06-02-2026, 12:03 PM
|
||
|
Started by SEQadmin2, 06-02-2026, 11:40 AM
|
0 responses
16 views
0 reactions
|
Last Post
by SEQadmin2
06-02-2026, 11:40 AM
|
||
|
Started by SEQadmin2, 05-28-2026, 11:40 AM
|
0 responses
29 views
0 reactions
|
Last Post
by SEQadmin2
05-28-2026, 11:40 AM
|
Comment