Lfo Tool Free Alternative

[Ilene Dycus]

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I know it only 20 bucks, but i want to save every penny for this tiny repair. A little screw from my header cover fell in and also the clutch ball. I just need to take the basket out to reach in there and grab them. I know, im an idiot for letting it fall in in the first place. anyway, what can i use instead of a clutch holding tool? If I can't really use anything else, I might aswell get the tool, but it would be optimal to get it done with garage tools.

I've heard of people using a soft piece of copper or a penny to put the gears in a bind to loosen or tighten the bolt or nut, a ratchet strap with some leverage might help. If you try the copper/penny method make sure to remove them when done.

The rag and impact gun will work for removing just fine. The tricky bit is holding the basket and then apply the proper torque to the nut. Yes a penny between gears works "ok" to reinstall. Being the bike in question is a "flip" bike, I assume its ok. Would I do that to someone paying me money to do the job, or my own, naw.

Yes, you can generally find alternatives. However the potentials problems from not using one comes from the fact they they are all designed to tighten the screw to a specific amount. If you do it manually with a generic tool/driver, then you can risk not having it on tight enough and working loose - or too tight and risk stripping the threads or the head or making it more problematic to unscrew later.

Now, getting it right manually isn't rocket science so most folks should be able to reasonably manage it. The manufacturer's wrenches are really designed around the concept of the process being more "idiot proof".

T-25 specifically, but you should be able to find one for cheap. I have 4 (3 callaway , 1 TM) without even trying , just normal HOing.

And just to be fair it is a torque wrench as opposed to "just" a screwdriver.

There are also many tools that are usually considered for straight differential expression but if run the right way might still yield results informative to alternative expression of isoforms. These include: edgeR, DEseq, htSeq, DEGseq, sSeq, etc.

Note that placing each tool in one of three categories is an over-simplification. Some span across the three activities and some are components of a workflow generated by a single research group. Overall the area is a bit of a wild west. More tools are being developed constantly and you will find aspects of all of them that leave you wanting something better. The problem is not a simple one and is an area of active research.

We recently published a paper "Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud" that covers this topic in some detail and described many relevant tools in the Supplementary Tables. This resource is maintained in GitHub here and has a corresponding hands on tutorial: RNA-seq analysis tutorial. The list of tools can be found here.

Thank for the info. I also like to add the Dream6 alternating splicing challenge webiste ( -dream-project.org/challenges/dream6-alternative-splicing-challenge). It's a little old but provides good background and some standard files and scoring metric. However, does anyone know about the winner result of this challenge? I couldn't find it on the web. Thank in advance.

Hi Charles, I am trying to use MATS for the first time. It seems that you have used it quiet a bit. What they mean when they say that the read-length or length of each read should be same. I have two conditions and multiple replicates for each condition. I trimmed low quality bases and removed reads with less than 40 nt. My original reads were 75nt and right now I have reads whose length ranges from 40 -75 bp. Can they be used? Or I need to crop them to a fixed length before I can feed it to MATS.

However, more importantly, I have found longer reads to be necessary to get good splicing event results. For example, I have not found it useful for 40 bp single-end reads, and I have only gotten good results with 100 bp paired-end reads. It is possible that the paired end requirement is more important than the length. Hopefully that is the case - for example, I know that very poor quality reads will negatively affect your TopHat alignment (for example, I had a HiSeq dataset that tried to push for 140 bp reads, but the last 40 bp had so many problems that I needed to trim them to 100 bp to get good results).

Thanks Charles. I have a single end read data which I assume wont be as helpful as paired end. Also, my reads were 75 bp and I trimmed them to 60bp. I hope i can get some decent results. The good thing is that I have at least 6 replicates for my two samples that I am comparing but not sure how much having replicates help for MATS analysis. Thanks a lot again.

I also have a question regarding read lengths in MATS tool. I aligned adapter-trimmed paired-end reads using STAR, and used sorted bam files as input to MATS for the analysis of splicing events. Originally, each mate length was 76, but after trimming it can be of any length. Given, I provide average insert length (r1 and r2) and the corresponding sd1 and sd2 values to MATS, does the read length should still need be same in different samples and replicates. If this is so, why MATS requires r1,r2 and sd1,sd2.

I think you need to read a little bit more on the topic because you are mixing things. For instance It doesn't make any sense to perform a de-novo assembly when you have the reference genome (human and cow) and you can use a reference-based assembly (Cufflinks) instead.

I am planning to do a similar workflow as yours, but on a totally non-reference animal. I performed de novo assembly with both Trinity and Velvet/Oases. I also try cufflinks assembly which base on the draft genome of this animal that we just obtained.

For individual splice sites the already suggested tools might be better - but for a genome wide analysis of splicing it is very convenient to frame it as a comparison of isoforms that are switching since it allows for easy interpretation and statistical analysis. For examples of what it can do see the alternative splicing part of the vignette here.

As a bonus IsoformSwitchAnalyzeR also allows you to identify and analyze isoform switches with predicted functional consequences (both for individual genes and genome wide) meaning it will help you figure out what result of the identified the alternative splicing is.

I have done RNA-seq of Nextera data with BBMap on prokaryotes (which do not generally have differential splicing) which worked well, and human (and various other organism) RNA-seq of non-Nextera data which also worked well. It's pretty robust to most noise-inducing factors like error rate, intron length, insert size, and so forth. Note that I am BBMap's author. But, it's pretty easy to use as it autodetects the insert size in a splice-aware manner.

From what I read on this subject, rrdtool is I/O bound when you hit it with large amounts of data. Since I envision this to scale to a very large number of devices to monitor, I am curious if there's any alternative that would not choke on I/O. Preferable SQL based, but not necessarily.

The I/O overhead is not a function of the data being written, after all each value 8 bytes per data source. The I/O bandwidth comes from the fact a whole sector (typically 4k) needs to be read in before being written out. Suddenly to write 8 bytes you have read/written 8k bytes.

All the RRDTools will automatically work with rrdcached when they detect it running (via an environment variable). This allows them to trigger flushes when needed, for example when generating a graph from the data.

While switching to an SQL based solution may help consider the extra I/O that will be required to support SQL. Considering you don't tend to use RRD data in that sort of random access pattern a database is a bit of a sledgehammer for the problem. While sticking with RRDTool will keep access to all the eco-system of tools that understand and can work with the files, which is useful especially if you are already familiar with it.

All the i/o operations will be done in memory and won't incur any of the bottlenecks found in doing disk i/o (this is even faster than using solid state disks). You can then use a cron job and rsync to copy only changed RRDs to disk once every few minutes.

Don't forget to copy your saved RRD files into the mount point before you start your rrd-writing application! You may need to edit the init script for that service to make sure the files are there before it starts. If it starts without the files in place, new bare ones will be created and you'll be very confused once the read directory gets overwritten with empty RRDs.

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