Update 470-medicine.txt

transcripts/470-medicine.txt

@@ -2,7 +2,7 @@
 
 00:00:04 those you would rarely classify as developers. On this episode, we get a look inside how Python
 
-00:00:10 is being used at a children's hospital to speed and improve patient care. We have Dr. Somac Roy
+00:00:10 is being used at a children's hospital to speed and improve patient care. We have Dr. Somak Roy
 
 00:00:16 here to share how he's using Python in his day to day job to help kids get well a little bit faster.
 
@@ -402,7 +402,7 @@
 
 00:21:49 available. More recently, I think we are seeing Rust coming into the picture as well. There's
 
-00:21:54 some Volang applications. And then of course, Python and R are the predominant, I think,
+00:21:54 some Golang applications. And then of course, Python and R are the predominant, I think,
 
 00:21:59 tools as the programming language that are used to solve all of these problems.
 
@@ -508,7 +508,7 @@
 
 00:26:29 and visualization. So I think the second thing was in terms of the idea that I was working on was
 
-00:26:37 having to develop a web application and all of these bioinformatics, you know, toolings and
+00:26:37 having to develop a web application and all of these bioinformatics, you know, tooling and
 
 00:26:42 algorithms running sort of in the back. And so at that time it was like, okay, well, you know,
 
@@ -548,7 +548,7 @@
 
 00:28:13 at least right now here, you know, where I am currently working, I have an excellent and amazing
 
-00:28:19 team of developers and bioinformations who really do a lot of the development work on the front end,
+00:28:19 team of developers and bioinformation who really do a lot of the development work on the front end,
 
 00:28:25 back end. And so for me to be able to take additional time out of my, you know, the clinical
 
@@ -954,7 +954,7 @@
 
 00:47:20 tend to, it's well maintained from an open source perspective. So those obviously are highly,
 
-00:47:24 we highly rely on those. But there is this whole ecosystem of softwares that come under this
+00:47:24 we highly rely on those. But there is this whole ecosystem of software's that come under this
 
 00:47:31 rubric term of variant calling, where we're trying to identify these different variants.
 
@@ -1076,9 +1076,9 @@
 
 00:53:22 has an internal visualization tool, but I was not very happy with how it was written. So
 
-00:53:29 I ended up writing a wrapper, which is called CNA plotter. It's open source. It essentially
+00:53:29 I ended up writing a wrapper, which is called CNAplotr. It's open source. It essentially
 
-00:53:34 uses the end data from CNBKid, and then it gives you a nice visualization of the copy numbers.
+00:53:34 uses the end data from CNV Kit, and then it gives you a nice visualization of the copy numbers.
 
 00:53:42 I think if you go down, if you scroll down, there's my example images.
 
@@ -1138,7 +1138,7 @@
 
 00:56:00 more than two copies of the bad genes. - One or zero is better. I got it. I got it.
 
-00:56:03 Okay. Okay. HGVS. - Yes. This is, again, a wonderful package that was initially, I think it was started by a person named Vishat. He's, I think he still
+00:56:03 Okay. Okay. HGVS. - Yes. This is, again, a wonderful package that was initially, I think it was started by a person named Vishal. He's, I think he still
 
 00:56:16 maintains it, but there's a lot of like, you know, it's a very well publicly maintained
 
@@ -1352,7 +1352,7 @@
 
 01:06:15 pipeline. Okay. Yeah. This is new to me. I mean, of course I know Airflow, but not Hera. Cool.
 
-01:06:20 All right. Hi, in Sim, did I grab the right one here?
+01:06:20 All right. Hi, InSim, did I grab the right one here?
 
 01:06:26 No, I think it's similar. Let me see if I can, I can send you the link.
 
@@ -1641,4 +1641,3 @@
 01:18:35 This is your host, Michael Kennedy. Thanks so much for listening. I really appreciate it.
 
 01:18:40 Now get out there and write some Python code.
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