How To Trim An Mp3 File

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Martin Glow

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Aug 4, 2024, 1:24:29 PM8/4/24
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Ican not understand why my sequences all dropped, and the final sequences are only thousands. Based on the MOVING PICTURE, I know the trim length is subjective based on the point when the quality score drop. And I have checked some related topics in the forum. Still can not find the answer.

Any sequence that contains fewer nucleotides than the trim length will be dropped. The trim length is important in if read lengths are heterogeneous in your data as the Deblur algorithm requires all reads are of the same length, or if you are performing a meta-analysis between studies of different read length and you want to normalize that study effect. You should be able to get an idea of the read lengths through qiime demux summarize if that is unclear. Does that help?


Thanks for your answer. Indeed I want to do meta-analysis of reads from the same primer, some reads are from EMP dataset, some reads are from other datasets, while some are PE, some are SE. Therefore, some are longer reads, while others are shorter.


I prepare to use DEBLUR to analysis them separately and merge the rep-seqs.qza into a big one, also the table.qza into a big one. Then use q2-fragment-insert to create the tree and pick taxa together. In the above procedure, different length and also quality of different datasets drive me not to trim the reads at the same parameter --p-trim-length. But I am not sure if that is reasonable or not.


I used a dataset(contains two primers 341-785, and 357-806) tested by closed reference OTU picking. But the results do not make sense. I am wondering whether I was wrong at some point. My procedure is as follows.


If so, then it may be worth testing an alternative process. For instance, one strategy would be to take all of your input data and run them through a closed reference approach against an existing 16S reference database like SILVA or Greengenes.

For instance,in Qiita when we integrate across primers, we just use closed reference OTU picking against Greengenes at 97%, which was the strategy used in Debelius et al for the HMP data.


I want to make sure I understand your suggestions. I import the raw reads into qiime2, join the reads from different primers respectively, qiime quality-filter q-score respectively, qiime vsearch dereplicate-sequences, merge the seqs1.qza and seqs2.qza into one seqs.qza, merge table1.qza and table2.qza respectively, then do the vsearch closed reference OTU picking with the following code,


Are these procedure correct? Shall I need to check the chimeras by qiime vsearch uchime-denovo BEFORE closed-reference OTU picking?

And there are three taxonomy assign methods, (1)classify-consensus-blast: BLAST+ consensus taxonomy classifier, (2)classify-consensus-vsearch: VSEARCH consensus taxonomy classifier, (3)classify-sklearn: Pre-fitted sklearn-based taxonomy classifier.

I have tried


An example of the primer effect can be found in figure 1 of Debelius et al. I recommend in your mapping file describing which sample used which primer, and making sure to assess that categorical variable when exploring for significant differences in your data.


Does that mean to assign the taxonomy separately, and compare them?

May I know how can I get the same OTU number and taxonomy if I want to compare these data. Just for my understanding, if I pick taxonomy for two primers separately, the OTU number corresponding to the taxonomy should be different?


May I know which taxonomy assign methods is better for me to use? (1)classify-consensus-blast: BLAST+ consensus taxonomy classifier, (2)classify-consensus-vsearch: VSEARCH consensus taxonomy classifier, (3)classify-sklearn: Pre-fitted sklearn-based taxonomy classifier, as what we did in 'moving picture'.


So I think that classify-consensus-blast or classify-consensus-vsearch would probably be the easiest/most transparent to use here @Brandon . It would still help to trim your reference sequences (to cut down on runtime, mostly).


@Kenda I appreciate and respect your diligence in using the actual string length. I have a habit of over or under trimming by 1 so I end up doing lazy stuff like this more often than I'd care to admit:


I think I just about worked it out but kept seven seconds more than I wanted so trimmed that and for the last 15 minutes, Trimming is in progress. It seems to have failed and now I can't access the video.


I am losing my mind with this new trim feature. I used to be able to edit our online recorded yoga classes in seconds, now I can not pinpoint the exact seconds I want on the recording because the trim feature jumps 8 seconds at a time. Once I finished a mediocre trim, now I have been waiting 15 minutes for the "trimming in process." I dont have time to trim a recording, walk away from it to process, and then come back to send out classes. This new trim feature is NOT developed enough to have been released. Zoom.... please go back to the previous editing feature until you have this more flushed out and smooth. This new trim feature is terrible.


Hey @adaniels99 and @MachelleLee, after going to zoom.us/recording and testing trimming my recording, I wasn't able to reproduce the trimming jumping 8 seconds at a time? Seemed to trim by the second (looking at the duration timer when trimming). And according to our KB article on Playing and trimming cloud recordings, trimming sections are indicated by the blue bar. You can click the play button to play the trimmed section. During playback, you can click anywhere on the trim sections (blue bar) to skip to another part of cloud recording.


I have a simple shape (collection of lines drawn with the smart pen tool) and a line drawn vertically down this shape. I simply want to just trim off the surplus part of the shape. When I select both the shape (curves) and the line (again, all drawn using the pen tool), press ALT, and then select 'Add' on the geometry option something strange happens.



The long way around this is to simply draw the end segment I want, but I want the shape to be nice and clean without worrying about snapping to all the anchor points around it. What's the simple way of trimming off surplus curves to a shape?


Instead of using a line, use a closed shape to remove the part you don't want from the original shape (or to perform any other boolean operation). You have more control if you work with closed shapes.


Thanks for the reply. Ahh, starting to understand now. I'm from an AutoCAD background, so had my CAD 'polyline trim' head on. I'll leave this pic for any beginners like me, who might get stuck understanding the basic Affinity Designer geometry.


I have a column in my data set that looks like below and I want to keep only the characters right to the "-". I wanted to use formula tool and the trim function to do this, but I do not have enough experience to apply my logic. Can anyone help? Thanks in advance!


Here's an updated example that adds the Formula tool. I've enumerated steps to produce columns that show the length of the string, the character position of the "-", and operations to grab the desired characters. This is a bit over-kill, but it might help you understand some of the possibilities. You should tool the methodology that best fits your data.


@estherb47 great suggestions as well. I posted another example that uses string operations logic. It's similar to your suggestion. RegEx is probably the most powerful, but it can be intimidating for those new to it (and to those who have some experience with it!).


@BenBothanks for sharing, it worked! I actually had more than 1 "-" and I needed to parse out the characters after the last "-" occurence. So I applied your formula 2 times for those fields using a IF statement.


example: SmartsheetUnable to AssessMinimal Experience/Exposure - Unable to perform all the tasks at the "Beginner" levelBeginner - Able to view files from Smartsheet owners. Download and print a file. Make updates.Intermediate - Able to change the view, Assign tasks, Create dependenciesAdvanced - Able to create Smartsheets from inception. Develop use cases. Manage user access. - $custom2






result: SmartsheetUnable to AssessMinimal Experience/Exposure - Unable to perform all the tasks at the "Beginner" levelBeginner - Able to view files from Smartsheet owners. Download and print a file. Make updates.Intermediate - Able to change the view, Assign tasks, Create dependenciesAdvanced - Able to create Smartsheets from inception. Develop use cases. Manage user access.


I saw that the spliting object can be a plane, or a single quilt, and the quilt can be automatically extended (if it's an analytical surface, I guess). which is a nice feature. Would it also be possible to use another body as a trimming object? It could be used also as a pre-trim before the standard boolean operations. The only restrigtion for the split to qork, is that the triming body mus completely encompass the body to split.


1. When creating a sketch with multiple distinct closed geometry segments, then creating a solid feature; Creo creates a single body with multiple solids, SW creates multiple bodies with individual solids. Creo defaults to a body to have multiple non-intersecting solid geometry. SW defaults to ensure all non-intersecting solids to be independent bodies.


2. From the above scenario, when modifying solid geometry within an existing body to break it down into further distinct non-intersecting solids [through a simple cut/remove feature], as above Creo keeps all the new solids within the existing body, where as SW implicitly [automatically] creates additional bodies to keep the individual solids in distinct bodies.


4. Finally the split function only works for a single volume at a time, there is no bulk split option either using features or volumes to break-out all distinct non-interesting solid goes into the own bodies.


All of the above means a very labour intensive workflow and is not intuitive in its use. I would be interested if PTC has done any use-case comparisons with other applications to asses the value of the multi-body functions.

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